CN117813649A

CN117813649A - Active Acoustic Control (AAC) apparatus, system and method

Info

Publication number: CN117813649A
Application number: CN202280056382.2A
Authority: CN
Inventors: T·弗里德曼; M·埃尔巴兹; A·弗莱舍; I·申费尔德; A·耶马尼
Original assignee: Sailang Acoustic Technology Co ltd
Current assignee: Sailang Acoustic Technology Co ltd
Priority date: 2021-06-29
Filing date: 2022-06-28
Publication date: 2024-04-02
Also published as: WO2023275768A1

Abstract

For example, a controller of an Active Acoustic Control (AAC) system may be configured to process input information including: AAC configuration information corresponding to AAC configuration in the sound control area; a plurality of noise inputs representing acoustic noise at a plurality of noise sensing locations; and a plurality of residual noise inputs representing acoustic residual noise at a plurality of residual noise sensing locations within the sound control zone. For example, the controller may determine a sound control mode based on the AAC configuration information, the plurality of noise inputs, and the plurality of residual noise inputs to control sound within the sound control area. For example, the controller may output the sound control pattern to a plurality of acoustic transducers.

Description

Active Acoustic Control (AAC) apparatus, system and method

Cross reference

The present application claims the benefit and priority of U.S. provisional patent application No.63/216,123 entitled "Apparatus, system, and Method of Active Acoustic Control (AAC) in a Vehicle" filed 29 a year 2021 and is the continuation of U.S. patent application No.17/225,891 entitled "Apparatus, system, and Method of Active Noise Control (ANC) based on Heating, ventilation and Air Conditioning (HVAC) Configuration", filed 26 a year 2020, system, and Method of Active Noise Control (ANC) based on Heating, ventilation and Air Conditioning (HVAC) Configuration ", which in turn claims the continuation of U.S. patent application No. 17/0807 entitled" Apparatus, system, and Method of Active Noise Control (ANC) based on Heating, ventilation and Air Conditioning (HVAC) filed 26 a year 2020, and the priority of U.S. patent application No. 510 are hereby incorporated by reference in their entirety.

Technical Field

Aspects described herein relate generally to Active Acoustic Control (AAC).

Background

Active Noise Control (ANC) is a technique that uses digitally generated noise to reduce unwanted noise. Based on the principle of superposition of sound waves. Generally, sound is a wave that propagates in space. If another second sound wave of the same amplitude but opposite phase to the first sound wave can be generated, the first sound wave can be completely cancelled.

Drawings

For simplicity and clarity of illustration, elements illustrated in the figures have not necessarily been drawn to scale. For example, the dimensions of some of the elements may be exaggerated relative to other elements for clarity. Further, reference numerals may be repeated among the figures to indicate corresponding or analogous elements. The figures are listed below.

Fig. 1 is a schematic block diagram illustration of an Active Acoustic Control (AAC) system in accordance with some demonstrative aspects.

Fig. 2 is a schematic illustration of a deployment scenario of components of the AAC system of fig. 1, according to some demonstrative aspects.

FIG. 3 is a schematic block diagram illustration of a controller according to some demonstrative aspects.

Fig. 4 is a schematic block diagram illustration of a multiple-input multiple-output (MIMO) prediction unit, according to some demonstrative aspects.

Fig. 5 is a schematic illustration of an embodiment of components of a controller of an AAC system, according to some demonstrative aspects.

FIG. 6 is a schematic block diagram illustration of a controller according to some demonstrative aspects.

Fig. 7 is a schematic illustration of a vehicle including an AAC system, according to some demonstrative aspects.

Fig. 8 is a schematic flow chart illustration of an AAC method in accordance with some demonstrative aspects.

FIG. 9 is a schematic block diagram illustration of the manufacture of a product according to some demonstrative aspects.

Detailed Description

In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of some aspects. However, it will be understood by those of ordinary skill in the art that some aspects may be practiced without these specific details. In other instances, well-known methods, procedures, components, units and/or circuits have not been described in detail so as not to obscure the discussion.

Discussion herein using terms such as "processing," "computing," "calculating," "determining," "establishing", "analyzing", "checking", and the like, may refer to operation and/or processing of a computer, computing platform, computing system, or other electronic computing device, that manipulates and/or transforms data represented as physical (e.g., electronic) quantities within the computer's registers and/or memories into other data similarly represented as physical quantities within the computer's registers and/or memories or other information storage medium that may store instructions for performing the operations and/or processes.

As used herein, the terms "plurality" and "plurality" include, for example, "a plurality" or "two or more". For example, "a plurality of items" includes two or more items.

References to "one aspect," "an illustrative aspect," "various aspects," etc., indicate that the aspect described may include a particular feature, structure, or characteristic, but every aspect may not necessarily include the particular feature, structure, or characteristic. Furthermore, repeated use of the phrase "in one aspect" does not necessarily refer to the same aspect, but may.

As used herein, unless otherwise indicated, the use of ordinal adjectives "first," "second," "third," etc., to describe a common object, merely indicate that different instances of like objects are being referred to, and are not intended to imply that the objects so described must be in a given sequence, either temporally, spatially, in ranking, or in any other manner.

Some portions of the detailed descriptions which follow are presented in terms of algorithms and symbolic representations of operations on data bits or binary digital signals within a computer memory. These algorithmic descriptions and representations may be the techniques used by those skilled in the data processing arts to convey the substance of their work to others skilled in the art.

An algorithm is here, and generally, considered to be a self-consistent sequence of acts or operations leading to a desired result. These include physical manipulations of physical quantities. Usually, though not necessarily, these quantities take the form of electrical or magnetic signals capable of being stored, transferred, combined, compared, and otherwise manipulated. It has proven convenient at times, principally for reasons of common usage, to refer to these signals as bits, values, elements, symbols, characters, terms, numbers, or the like. It should be understood, however, that all of these and similar terms are to be associated with the appropriate physical quantities and are merely convenient labels applied to these quantities.

As used herein, the term "circuitry" may refer to, be part of, or include an Application Specific Integrated Circuit (ASIC), an integrated circuit, an electronic circuit, a processor (shared, dedicated, or group) and/or memory (shared, dedicated, or group) that execute one or more software or firmware programs, a combinational logic circuit, and/or other suitable hardware components that provide the described functionality. In some aspects, some of the functions associated with the circuitry may be implemented by one or more software or firmware modules. In some aspects, the circuitry may comprise logic that is at least partially operable in hardware.

The term "logic" may refer to, for example, computing logic embedded in circuitry of a computing device and/or computing logic stored in memory of a computing device. For example, logic may be accessed by a processor of a computing device to execute computing logic to perform computing functions and/or operations. In one example, logic may be embedded in various types of memory and/or firmware, such as blocks of silicon of various chips and/or processors. Logic may be included in and/or implemented as part of various circuits, such as radio circuitry, receiver circuitry, control circuitry, transmitter circuitry, transceiver circuitry, processor circuitry, and so forth. In one example, the logic may be embedded in volatile memory and/or non-volatile memory, including random access memory, read-only memory, programmable memory, magnetic memory, flash memory, and/or persistent memory, among others. Logic may be executed by one or more processors using memory (e.g., registers, buffers, stacks, etc.) coupled to the one or more processors, e.g., as needed.

Some demonstrative aspects include systems and methods of controlling noise (e.g., reducing or eliminating undesirable noise, e.g., noise in one or more frequency ranges (e.g., typically low, medium, and/or high frequencies) as described below) may be effectively implemented.

Some demonstrative aspects may include methods and/or systems of Active Acoustic Control (AAC) configured to control and/or alter the acoustic energy and/or amplitude of one or more acoustic modes generated by one or more acoustic sources, which may include known and/or unknown acoustic sources, e.g., as described below.

In some demonstrative aspects, an AAC system may be configured as an Active Noise Control (ANC) system and/or an Active Sound Control (ASC) system, and/or may perform one or more functions of the ANC system and/or the ASC system, which may be configured to control, alter, remodel, reduce and/or eliminate noise energy and/or amplitude of one or more acoustic modes ("primary modes") generated by one or more noise sources, which may include known and/or unknown noise sources, e.g., as described below.

In some demonstrative aspects, an AAC system may be configured to generate an acoustic control mode (also referred to as a "sound control mode" or "auxiliary mode"), e.g., including a destructive noise mode and/or any other sound control mode, e.g., as described below.

In some demonstrative aspects, an AAC system may be configured to generate an acoustic control mode, e.g., based on one or more of the primary modes, e.g., such that a controlled sound zone (e.g., a noise reduction zone, e.g., a quiet zone) may be created by a combination of the auxiliary mode and the primary mode, e.g., as described below.

In some demonstrative aspects, an AAC system may be configured to control, reduce, remodel, and/or eliminate noise within a predefined location, area, or zone (also referred to as a "sound control zone," acoustic control zone, "" noise control zone, "" Quiet zone, "and/or" Quiet Bubble quick Bubble ^TM ") for example, regardless of the primary mode and/or one or more noise sources and/or without using prior information about the primary mode and/or one or more noise sources, e.g., as described below.

For example, an AAC system may be configured to control, reduce, remodel, and/or eliminate noise within an acoustic control zone (sound control zone), e.g., independent of, regardless of, and/or without prior knowledge of one or more of the noise sources and/or one or more properties of one or more of the primary modes, e.g., the number, type, location, and/or other properties of one or more of the primary modes and/or one or more of the noise sources, e.g., as described below.

Some illustrative aspects are described herein with respect to AAC systems and/or methods configured to remodel, reduce and/or eliminate noise energy and/or amplitude of one or more acoustic modes within a quiet zone, e.g., as described below.

However, in other aspects, the AAC and/or sound control system and/or method may be configured to control any other acoustic energy and/or amplitude of one or more acoustic modes within an acoustic control zone (sound control zone) in any other manner, e.g., to affect, change and/or modify the sound energy and/or amplitude of one or more acoustic modes within a predefined zone, e.g., as described below.

In one example, the AAC system and/or method may be configured to selectively remodel, reduce, and/or eliminate acoustic energy and/or amplitude of one or more types of acoustic modes within an acoustic control area (sound control area), and/or to selectively increase and/or amplify acoustic energy and/or amplitude of one or more other types of acoustic modes within the acoustic control area; and/or selectively maintain and/or retain acoustic energy and/or amplitude of one or more other types of acoustic modes within the acoustic control region, e.g., as described below.

In some demonstrative aspects, an AAC system may be configured as a sound control system (e.g., a personal sound control system (also referred to as a "Personal Sound Bubble (PSB)) ^TM System ")) and/or may perform one or more functions of the sound control system, the sound control system may be configured to generate a sound control pattern that may be based on at least one audio input, e.g., such that at least one personal sound zone may be created based on the audio input, e.g.,as described below.

In some demonstrative aspects, an AAC system may be configured to control at least one predefined location, area or zone (e.g., at least one PSB, for example) based on audio to be heard by a user ^TM ) An internal sound. In one example, PSB ^TM May be configured to include an area near the user's head and/or ear, for example, as described below.

In some demonstrative aspects, an AAC system may be configured to control a PSB ^TM For example, as described below.

In some demonstrative aspects, an AAC system may be configured to control a sound comparison between one or more first sound modes and one or more second sound modes of audio to be heard by a user, e.g., as described below.

In some demonstrative aspects, an AAC system may be configured, for example, based on, for example, a data set to be at a PSB ^TM Selectively increasing and/or amplifying PSB for audio heard in ^TM Sound energy and/or amplitude of one or more types of acoustic modes within; selective reshaping, reduction and/or elimination of PSB, e.g., based on acoustic signals to be reduced and/or eliminated ^TM Sound energy and/or amplitude of one or more types of acoustic modes within; and/or selectively maintaining and/or maintaining PSB ^TM Sound energy and/or amplitude of one or more other types of acoustic modes within, for example, as described below.

In some demonstrative aspects, an AAC system may be configured to control the PSB based on any other additional or alternative input or criteria ^TM An internal sound.

In some demonstrative aspects, an AAC system may be configured to control, remodel, reduce and/or eliminate the acoustic energy and/or amplitude of one or more of the primary modes within the sound control zone.

In some demonstrative aspects, an AAC system may be configured to selectively and/or configurably control, remodel, reduce and/or eliminate noise within the sound control area, e.g., based on one or more predefined noise pattern properties, such that, e.g., noise energy, amplitude, phase, frequency, direction and/or statistical properties of one or more first primary patterns may be affected by an auxiliary pattern, while the effect of the auxiliary pattern on noise energy, amplitude, phase, frequency, direction and/or statistical properties of one or more second primary patterns may be reduced or even not, e.g., as described below.

In some demonstrative aspects, an AAC system may be configured to control, remodel, reduce and/or eliminate acoustic energy and/or amplitude of a primary mode on a predefined envelope or housing enclosing and/or enclosing an acoustic control zone (sound control zone) and/or at one or more predefined locations within the acoustic control zone (sound control zone).

In one example, the acoustic control zone (sound control zone) may include a two-dimensional zone, for example, defining a region in which the acoustic energy and/or amplitude of one or more of the primary modes is to be controlled, reshaped, reduced, and/or eliminated.

According to the present example, the AAC system may be configured to control, remodel, reduce and/or eliminate acoustic energy and/or amplitude of the primary mode along a perimeter surrounding and/or at one or more predefined locations within the acoustic control area (sound control area).

In one example, the acoustic control zone (sound control zone) may include a three-dimensional zone, e.g., defining a volume in which acoustic energy and/or amplitude of one or more of the primary modes is to be controlled, reshaped, reduced, and/or eliminated. In accordance with the present examples, an AAC system may be configured to control, remodel, reduce and/or eliminate acoustic energy and/or amplitude of a primary mode on a surface enclosing a three-dimensional volume.

In one example, the acoustic control zone (sound control zone) may comprise a spherical volume, and the AAC system may be configured to control, remodel, reduce and/or eliminate the acoustic energy and/or amplitude of the primary mode on the surface of the spherical volume.

In another example, the acoustic control zone (sound control zone) may comprise a cube volume, and the AAC system may be configured to control, remodel, reduce and/or eliminate acoustic energy and/or amplitude of the primary mode on a surface of the cube volume.

In other aspects, the acoustic control zone (sound control zone) may comprise any other suitable volume that may be defined, for example, based on one or more properties of the location of the acoustic control zone to be maintained.

Referring now to fig. 1, an AAC system 100 is schematically shown in accordance with some demonstrative aspects.

Referring also to fig. 2, a deployment scenario 200 of components of the AAC system is schematically shown in accordance with some demonstrative aspects. For example, deployment scheme 200 may include the deployment of one or more elements of AAC system 100 of fig. 1.

In some demonstrative aspects, AAC system 100 may include an AAC system, an Active Noise Cancellation (ANC) system, an acoustic control system, a sound control system, a PSB ^TM System and/or Quiet Battery ^TM The system, as it operates and/or performs its functions, for example, as described below.

In some demonstrative aspects, AAC system 100 may include a controller 102 (also referred to as an "AAC controller") configured to control sound within at least one AAC zone (also referred to as a "sound control zone" or "acoustic control zone") 110, e.g., as described in detail below.

In some demonstrative aspects, controller 102 may include, or may be partially or fully implemented by, circuitry and/or logic (e.g., one or more processors including the circuitry and/or logic, and/or memory circuitry and/or logic). Additionally or alternatively, one or more functions of controller 102 may be implemented by logic that may be executed by a machine and/or one or more processors, e.g., as described below.

In one example, the controller 102 may include at least one memory 198, e.g., coupled to one or more processors, which may be configured to, e.g., at least temporarily store at least some information processed by the one or more processors and/or circuits, and/or may be configured to store logic to be used by the processors and/or circuits.

In one example, at least a portion of the functionality of the controller 102 may be implemented by an integrated circuit (e.g., a chip, such as a system on a chip (SoC)).

In other aspects, controller 102 may be implemented by any other logic and/or circuitry, and/or according to any other architecture.

In some demonstrative aspects, AAC area 110 may include an enclosed space, e.g., as described below.

In some demonstrative aspects, the enclosed space may include a cabin of a vehicle (e.g., an automobile, a bus, and/or a truck), e.g., as described below.

In some illustrative aspects, the enclosed space may include any other cabin, for example, a cabin of an aircraft, a cabin of a train, a cabin of a medical system, an area of a room, or the like.

In other aspects, the enclosed space may include any other enclosed portion or region of space.

In some demonstrative aspects, sound control area 110 may be located within a vehicle, and AAC system 100 may be deployed as part of the vehicle.

In some demonstrative aspects, sound control area 110 may include a three-dimensional (3D) area. For example, the sound control zone 110 may include a spherical zone.

In another example, the sound control region 110 may include any other 3D region.

In some demonstrative aspects, AAC system 100 may be configured to control sound and/or noise within zone 110, e.g., to provide an improved driving experience for a driver and/or one or more passengers of the vehicle, e.g., by controlling sound and/or noise within zone 110 in a manner that provides an improved music, audio, voice, and/or sound experience, an improved quality of telephone conversation, etc., within the vehicle.

In some demonstrative aspects, AAC controller 102 may include, or may be implemented with, an input 191, which may be configured to receive input information 195, e.g., as described below.

In some demonstrative aspects, AAC controller 702 may include a controller 793 configured to determine a sound control mode for controlling sound within at least one sound control area 110 in the vehicle, e.g., based on input information 195, e.g., as described below.

In some demonstrative aspects, input information 195 may include a plurality of noise inputs 104, e.g., from one or more acoustic sensors (also referred to as "primary sensors", "noise sensors", or "reference sensors") 119, which represent acoustic noise at a plurality of predefined noise sensing locations 105, e.g., as described below.

In some demonstrative aspects, AAC controller 702 may receive noise input 704 from one or more acoustic sensors 719, which may include: one or more physical sensors located at one or more locations 105, such as microphones, accelerometers, and tachometers, etc.; and/or one or more virtual sensors configured to estimate acoustic noise at one or more locations 105, e.g., as described below.

In some demonstrative aspects, noise input 104 may be based on monitoring information, which may be sensed by one or more monitoring sensors (denoted "M") at one or more monitoring locations 103, e.g., microphones, accelerometers, tachometers, and the like, e.g., as described below.

In some demonstrative aspects, noise input 104 may include a noise input corresponding to a virtual sensor at virtual sensor location 105. For example, the noise input corresponding to the virtual sensor at the virtual sensor location 105 may be based on monitoring information sensed by one or more sensors at the one or more monitoring locations 103, e.g., as described below.

In some demonstrative aspects, one or more monitoring locations 103 may include one or more locations other than noise-sensing location 105, e.g., as described below.

In some demonstrative aspects, as shown in fig. 2, monitoring locations 103 may include one or more monitoring locations 103 outside of sound control zone 110, and/or one or more monitoring locations 103 inside of sound control zone 110.

In some demonstrative aspects, input information 195 may include a plurality of residual noise inputs 106, e.g., from one or more residual noise acoustic sensors (also referred to as "error sensors" or "auxiliary sensors") 121, representing acoustic residual noise at a plurality of predefined residual noise sensing locations 107 located within sound control zone 110, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may receive residual noise input 106 from one or more acoustic sensors 121 located at one or more locations 107, which may include one or more physical sensors, e.g., microphones, accelerometers, tachometers, and the like, and/or from one or more virtual sensors configured to estimate residual noise at one or more locations 107, e.g., as described below.

In some demonstrative aspects, residual noise input 104 may include a residual noise input corresponding to the virtual sensor at virtual sensor location 107. For example, residual noise input corresponding to a virtual sensor at virtual sensor location 107 may be based on monitoring information sensed by one or more sensors at one or more monitoring locations 103, e.g., as described below.

In some demonstrative aspects, AAC system 100 may include at least one acoustic transducer 108, e.g., a speaker, a shaker, and/or any other actuator. For example, the AAC controller 102 may control the acoustic transducer 108 to generate an acoustic sound control pattern configured to control sound within the sound control area 110, e.g., as described in detail below.

In some demonstrative aspects, at least one acoustic transducer 108 may include, for example, an array of one or more acoustic transducers, e.g., at least one suitable speaker, to generate a sound control pattern based on sound control signal 109.

In some demonstrative aspects, at least one acoustic transducer 108 may be located at one or more locations, which may be determined based on one or more properties of sound control region 110 (e.g., a size and/or shape of region 110), one or more desired property inputs 104, one or more desired properties of one or more potential actual noise sources 202 (e.g., a desired location and/or directionality of noise sources 202 relative to sound control region 110), a number of noise sources 202, and the like.

In one example, the acoustic transducer 108 may include a speaker array including a predetermined number of speakers, denoted as M, or a multi-channel sound source. In some demonstrative aspects, acoustic transducer 108 may include a speaker array implemented using a suitable "compact sound source" located at a suitable location (e.g., outside zone 110). In another example, the speaker array may be implemented using a plurality of speakers distributed in a space around, for example, the sound control zone 110.

In some demonstrative aspects, one or more locations 105 may be distributed over the spherical volume and/or in any combination of locations external to the spherical volume, e.g., one or more locations around the spherical volume, e.g., as described below.

In some demonstrative aspects, one or more locations 105 may be distributed outside of sound control area 110. For example, one or more locations 105 may be distributed on or near an envelope or housing surrounding the sound control zone 110.

For example, if the sound control zone 110 is defined by a spherical volume, the one or more locations 105 may be distributed on the surface of the spherical volume and/or outside of the spherical volume.

In some demonstrative aspects, location 107 may be distributed within sound control area 110, e.g., near an envelope of sound control area 110.

For example, if zone 110 is defined by a spherical volume, locations 107 may be distributed over a spherical surface having a radius that is less than the radius of sound control zone 110.

In some demonstrative aspects, AAC system 100 may include one or more first acoustic sensors ("primary sensors") 119 to sense acoustic noise at one or more of plurality of noise-sensing locations 105.

In some demonstrative aspects, AAC system 100 may include one or more second acoustic sensors ("error sensors") 121 to sense acoustic residual noise at one or more of plurality of residual noise sensing locations 107.

In some demonstrative aspects, one or more of the error sensors and/or one or more of the primary sensors may be implemented using one or more of "virtual sensors" ("virtual microphones"). The virtual microphone corresponding to a particular microphone location may be implemented by any suitable algorithm and/or method capable of evaluating an acoustic pattern to be sensed by an actual acoustic sensor located at the particular microphone location.

In some demonstrative aspects, AAC controller 102 may be configured to simulate and/or perform the functions of the virtual microphone, e.g., by estimating and/or evaluating acoustic noise patterns at particular locations of the virtual microphone.

In some demonstrative aspects, an AAC system (e.g., AAC system 100, fig. 1) may include a first array 219 of one or more primary sensors (e.g., microphones, accelerometers, tachometers, etc.) configured to sense a primary pattern at one or more locations 105. For example, the array 219 may include a plurality of acoustic sensors 119 (fig. 1). For example, array 219 may include a microphone that outputs noise signal 104 (fig. 1), including, for example, a sequence of N samples per second. For example, if the microphone is operating at a sampling rate of about 48KHz, N may be 48000 samples per second, for example. Noise signal 104 (fig. 1) may include any other suitable signal having any other suitable sampling rate and/or any other suitable attribute.

In some demonstrative aspects, one or more sensors of array 219 may be implemented using one or more "virtual sensors". For example, the array 219 may be implemented by a combination of at least one microphone and at least one virtual microphone. The virtual microphone corresponding to the particular microphone location of location 105 may be implemented by any suitable algorithm and/or method capable of evaluating an acoustic pattern to be sensed by an acoustic sensor located at the particular microphone location, for example, as part of controller 102 (fig. 1) or any other element of system 100 (fig. 1). For example, the controller 102 (fig. 1) may be configured to evaluate the acoustic pattern of the virtual microphone based on at least one actual acoustic pattern sensed by at least one microphone 119 (fig. 1) of the array 219.

In some demonstrative aspects, AAC controller 102 may be configured to simulate and/or perform the functions of a virtual master sensor at master sensor location 105, e.g., based on monitoring information sensed by one or more monitoring sensors at one or more monitoring locations 103.

In some demonstrative aspects, AAC system 100 (fig. 1) may include a second array 221 of one or more error sensors, e.g., microphones, configured to sense acoustic residual noise at one or more locations 107. For example, array 221 may include a plurality of acoustic sensors 121 (fig. 1). For example, the error sensor may include one or more sensors to sense acoustic residual noise patterns on a spherical surface within the spherical sound control zone 110.

In some demonstrative aspects, one or more sensors of array 221 may be implemented using one or more "virtual sensors. For example, the array 221 may include a combination of at least one microphone and at least one virtual microphone. The virtual microphone corresponding to the particular microphone location of location 107 may be implemented by any suitable algorithm and/or method capable of evaluating an acoustic pattern to be sensed by an acoustic sensor located at the particular microphone location, for example, as part of controller 102 (fig. 1) or any other element of system 100 (fig. 1). For example, the controller 102 (fig. 1) may be configured to evaluate the acoustic pattern of the virtual microphone based on at least one actual acoustic pattern sensed by at least one microphone 121 (fig. 1) of the array 221.

In some demonstrative aspects, AAC controller 102 may be configured to simulate and/or perform the functions of the virtual master sensor at error sensor location 107, e.g., based on monitoring information sensed by one or more monitoring sensors at one or more monitoring locations 103.

In some demonstrative aspects, the number, location and/or distribution of locations 103, 105 and/or 107, and/or the number, location and/or distribution of one or more acoustic sensors at one or more of locations 103, 105 and 107 may be determined based on the size of sound control region 110 and/or the envelope of sound control region 110, the shape of sound control region 110 or the envelope of sound control region 110, one or more properties of the acoustic sensors located at one or more of locations 103, 105 and/or 107, e.g., the sampling rate of the sensors, etc.

In one example, one or more acoustic sensors, such as microphones, accelerometers, and tachometers, etc., may be deployed at locations 103, 105, and/or 107 according to, for example, the spatial sampling theorem defined below by equation 1.

For example, the number of main sensors, the distance between the main sensors, the number of error sensors, and/or the distance between the error sensors may be determined according to, for example, the spatial sampling theorem defined by equation 1 below.

In one example, the primary and/or error sensors may be distributed at a distance denoted d from each other, e.g., equidistant or non-equidistant. For example, the distance d may be determined as follows:

where c represents the sound velocity, f _max Representing the maximum frequency at which sound control is desired.

For example, at a maximum frequency f of the target _max ＝100[Hz]In the case of (a), the distance d can be determined as

As shown in fig. 2, deployment scenario 200 is configured for circular or spherical sound control zone 110. For example, one or more locations 105 are distributed (e.g., substantially evenly distributed) in a spherical or circular manner around the sound control zone 110, and locations 107 are distributed (e.g., substantially evenly distributed) in a spherical or circular manner within the sound control zone 110.

However, in other aspects, the components of AAC system 100 may be deployed according to any other deployment scheme, including any suitable distribution of locations 105 and/or 107, e.g., configured with respect to any other suitable form and/or shape of sound control area.

In some demonstrative aspects, controller 102 may be configured to determine the sound control mode to reduce based on at least one noise parameter (e.g., energy, amplitude, phase, frequency, direction, and/or statistical properties) within sound control region 110, e.g., as described in detail below.

In some demonstrative aspects, AAC controller 102 may determine the sound control mode to selectively reduce one or more predefined first noise patterns within sound control area 110 without reducing one or more second noise patterns within sound control area 110, e.g., as described below.

In some demonstrative aspects, sound control area 110 may be located within a vehicle and AAC controller 102 may determine the sound control mode to selectively reduce one or more first noise modes, including, for example, a road noise mode, a wind noise mode, and/or an engine noise mode, without reducing one or more second noise modes, including, for example, an audio noise mode, a horn noise mode, a siren noise mode, a dangerous noise mode, an alarm noise mode of an alarm signal, a noise mode of an information signal, and so forth, of an audio device located within the vehicle.

In some demonstrative aspects, AAC controller 102 may determine the sound control mode, e.g., even without information related to one or more noise source attributes of one or more actual noise sources 202 generating acoustic noise at noise sensing location 105.

For example, the noise source properties may include one or more properties of the number of noise sources 202, the location of the noise sources 202, the type of noise sources 202, and/or one or more noise patterns generated by one or more noise sources 202.

In some demonstrative aspects, AAC controller 102 may be configured to determine a sound control mode, e.g., while taking into account one or more factors, e.g., one or more acoustic transfer functions between elements of AAC system 100, e.g., acoustic transfer functions between at least one acoustic transducer 108 and one or more residual noise sensors 121; and/or statistical properties of noise to be processed by the AAC system 100, e.g., as described below.

In other aspects, the AAC controller 102 may be configured to determine the sound control mode based on any other additional or alternative factors, criteria, attributes, and/or parameters.

In some demonstrative aspects, the acoustic transfer function may represent and/or describe an acoustic medium through which the acoustic wave propagates. For example, the transfer function between the source point and the destination point may include a direct path, e.g., defined by a straight line (if present) connecting the source point and the destination point, and/or one or more multipaths, e.g., an indirect path that contains reflections from objects in the environment surrounding the source point and the destination point.

In some demonstrative aspects, the noise statistics to be processed by AAC system 100 may be based on a spectral distribution of the noise signal, e.g., how the energy of the noise signal is distributed over a relevant frequency range.

In some demonstrative aspects, the acoustic transfer function in the vehicle environment may be susceptible to physical changes in the vehicle environment, such as the position and/or angle of the vehicle seat, the number of occupants in the vehicle, one or more open/closed windows, and/or any other additional or alternative attribute of the vehicle environment.

In some demonstrative aspects, the spectral distribution of the noise signal in the vehicle environment may be sensitive to one or more factors, including, for example, the road surface, the type of vehicle tire, the vehicle speed, the vehicle engine speed (RPM), wind-induced noise, the operation of the vehicle air conditioning system, and/or one or more additional or alternative factors.

In some demonstrative aspects, AAC controller 102 may be configured to adapt the sound control mode, e.g., based on one or more changes in the transfer function and/or the noise spectral distribution, e.g., to adapt the operation of AAC system 100 to new conditions.

In some demonstrative aspects, AAC controller 102 may be configured to adjust parameters of AAC system 100, e.g., in a real-time and/or continuous manner, e.g., in a manner that may address one or more technical issues.

In one example, continuous adaptation of parameters of the AAC system 100 may be sensitive to abrupt changes in the transfer function and/or the noise spectral distribution.

In another example, the continuous adaptation of parameters of the AAC system 100 may be slower than the variation itself, which may result in a short time in which noise reduction is disrupted.

In some demonstrative aspects, AAC controller 102 may include a state machine, and/or may be configured to perform the functions of the state machine, which may receive input from one or more sources (e.g., an in-vehicle computer), and/or from one or more detectors, which may monitor one or more environmental conditions, e.g., as described below.

In one example, the input from the one or more sources may include, for example, information indicative of vehicle seat position, number of passengers, vehicle speed, and/or engine speed, etc., e.g., as described below.

In another example, the input from the one or more sources may include, for example, information indicative of a temperature and/or pressure within the vehicle cabin.

In some demonstrative aspects, AAC controller 102 may be configured to determine an operation mode of AAC system 100, e.g., by programming AAC system 100 with a set of appropriate parameters, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may include an AAC adapter, and/or may be configured to perform the functions of the AAC adapter. For example, an AAC adapter may receive a set of parameters from a state machine. For example, the AAC adapter may adapt (e.g., continuously adapt) the set of parameters based on one or more criteria, e.g., to minimize residual noise measured by an array of error monitoring microphones 121, which may be located on the seat or on the headrest, e.g., near the ears of the occupant, e.g., as described below.

In some demonstrative aspects, the state machine may be configured to handle the change in acoustic transfer function, and the AAC adapter may be responsible for handling the change in noise spectrum distribution, e.g., as described below.

In some demonstrative aspects, the state machine may support adaptive AAC, e.g., by leveraging its monitoring capabilities (e.g., an on-board computer and/or an environmental condition detector) to adjust the adaptive AAC, e.g., as described below.

In some demonstrative aspects, input information 195 may include AAC information 129 (also referred to as "AAC support information," "AAC auxiliary information," or "AAC configuration information"), which may be received from one or more information sources 120, including, for example, one or more information sources in a vehicle, e.g., as described below.

In some demonstrative aspects, controller 193 may be configured to receive and process AAC information 129, e.g., via input 191, e.g., as described below.

In some demonstrative aspects, controller 193 may be configured to determine sound control signal 109, e.g., based on AAC information 129, e.g., in addition to noise input 104 and/or residual noise input 106, e.g., as described below.

In some demonstrative aspects, AAC information 129 may include information corresponding to an AAC configuration in sound control area 110, e.g., as described below.

In some demonstrative aspects, AAC information 129 may include information affecting one or more parameters and/or attributes of an AAC configuration corresponding to sound control area 110, e.g., as described below.

In some demonstrative aspects, AAC assistance information 129 may include information that may be utilized by AAC controller 193, e.g., to assist AAC controller 193 in configuring one or more AAC settings and/or AAC parameters, e.g., as described below.

In some demonstrative aspects, AAC auxiliary information 129 may include real-time input information, which may be received in real-time from one or more information sources 120, e.g., during operation of AAC system 100, e.g., as described below.

In some demonstrative aspects, AAC configuration information 129 may include real-time information corresponding to a real-time acoustic configuration of sound control area 110, e.g., as described below.

In some demonstrative aspects, AAC information 129 may include this information, which may correspond to, may represent, and/or may affect one or more sound control parameters of sound control settings of sound control area 110, e.g., as described below.

In some demonstrative aspects, AAC information 129 may include acoustic configuration information corresponding to an acoustic configuration of sound control area 110, e.g., as described below.

In some demonstrative aspects, AAC auxiliary information 129 may include acoustic configuration information, e.g., including information related to one or more parameters of the acoustic configuration of sound control area 110, e.g., as described below.

In some demonstrative aspects, AAC information 129 may include acoustic configuration information, e.g., information including one or more parameters defining an acoustic configuration of sound control area 110, e.g., as described below.

In some demonstrative aspects, AAC information 129 may include acoustic configuration information, e.g., information including one or more parameters affecting the acoustic configuration of sound control area 110, e.g., as described below.

In some demonstrative aspects, AAC auxiliary information 129 may include acoustic configuration information, e.g., information including one or more parameters representative of an acoustic configuration of sound control area 110, e.g., as described below.

In some demonstrative aspects, AAC auxiliary information 129 may include information corresponding to an AAC configuration affecting sound control area 110 implemented in the vehicle, e.g., as described below.

In some demonstrative aspects, AAC auxiliary information 129 may include vehicle system configuration information corresponding to a configuration of an operating mode of one or more vehicle systems of a vehicle including sound control area 110, e.g., as described below.

In some demonstrative aspects, AAC auxiliary information 129 may include vehicle sensor information from one or more vehicle sensors of a vehicle including a sound control area, e.g., as described below.

In some demonstrative aspects, AAC auxiliary information 129 may include vehicle speed information corresponding to a speed of a vehicle including sound control area 110, e.g., as described below.

In some demonstrative aspects, AAC auxiliary information 129 may include engine information corresponding to an engine of a vehicle including sound control area 110, e.g., as described below.

In some demonstrative aspects, AAC auxiliary information 129 may include brake system information corresponding to a brake system of a vehicle including sound control area 110, e.g., as described below.

In some demonstrative aspects, AAC auxiliary information 129 may include road detection information from a road detection system of a vehicle including sound control area 110, e.g., as described below.

In some demonstrative aspects, AAC auxiliary information 129 may include steering information corresponding to a steering system of a vehicle including sound control area 110, e.g., as described below.

In some demonstrative aspects, AAC auxiliary information 129 may include tire information corresponding to one or more tires of the vehicle including sound control area 110, e.g., as described below.

In some demonstrative aspects, AAC auxiliary information 129 may include seat position information corresponding to one or more seats of a vehicle including sound control area 110, e.g., as described below.

In some demonstrative aspects, AAC auxiliary information 129 may include passenger information corresponding to one or more passengers of the vehicle including sound control area 110, e.g., as described below.

In some demonstrative aspects, AAC auxiliary information 129 may include open state information corresponding to an open state of a vehicle including sound control area 110, e.g., as described below.

In some demonstrative aspects, AAC auxiliary information 129 may include audio system information corresponding to an audio system of a vehicle including sound control area 110, e.g., as described below.

In some demonstrative aspects, AAC auxiliary information 129 may include climate information corresponding to at least one of a climate within sound control area 110 or a climate outside sound control area 110, e.g., as described below.

In some demonstrative aspects, AAC auxiliary information 129 may include user position information corresponding to a position of at least one of a head or an ear of the user in sound control area 110, e.g., as described below.

In some demonstrative aspects, AAC auxiliary information 129 may include user identity information corresponding to a user identity to control user preferences with respect to sound control area 110, e.g., as described below.

In one example, AAC auxiliary information 129 may include user identity information corresponding to a user identity of the sound control area 110. For example, the AAC auxiliary information 129 may include user identity information corresponding to the identity of the driver of the vehicle, for example, to control user preferences regarding the sound control area 110 implemented by the driver's seat of the vehicle.

In another example, AAC auxiliary information 129 may include user identity information corresponding to a user identity to control user preferences regarding a sound control area 110 that may be used by another user. For example, AAC auxiliary information 129 may include user identity information corresponding to the identity of a driver of the vehicle, e.g., to control user preferences regarding one or more passenger seat implemented sound control areas 110 of the vehicle.

In some demonstrative aspects, AAC auxiliary information 129 may include acoustic configuration information, e.g., including any other additional or alternative information, which may be related to the acoustic configuration of sound control area 110, e.g., as described below.

In some demonstrative aspects, input 191 may be configured to receive AAC information 129 via a communication bus of a vehicle including sound control area 110, e.g., as described below.

In some demonstrative aspects, input 191 may be configured to receive AAC auxiliary information 129 via Controller Area Network (CAN) bus information, which is received via a CAN bus of the vehicle.

In some demonstrative aspects, input 191 may be configured to receive AAC auxiliary information 129 via an a-to-B (A2B) bus information received via an A2B bus of the vehicle.

In some demonstrative aspects, input 191 may be configured to receive AAC auxiliary information 129 via a Multimedia Oriented System Transmission (MOST) bus information received via a MOST bus of the vehicle.

In some demonstrative aspects, input 191 may be configured to receive AAC auxiliary information 129 via wireless communication information, which is received via a wireless communication link.

In some demonstrative aspects, input 191 may be configured to receive AAC auxiliary information 129 via ethernet bus information, which is received via an ethernet bus of the vehicle.

In other aspects, input 191 may be configured to receive AAC information 129 via any other wired link or connection, a wireless link or connection, and/or any other communication mechanism, connection, link, bus, and/or interface.

In some demonstrative aspects, AAC information 129 may include sensor information from one or more sensors, e.g., as described below. For example, information source 120 may include one or more sensors, e.g., as described below.

In some demonstrative aspects, AAC auxiliary information 129 may include sensor information from one or more acoustic sensors, e.g., as described below. For example, the information source 120 may include one or more acoustic sensors, e.g., as described below.

In some demonstrative aspects, information source 120 may include one or more acoustic sensors, which may be different and/or independent of the monitoring sensor, noise acoustic sensor 119, and/or residual noise acoustic sensor 121 at monitoring location 103, e.g., as described below.

In some demonstrative aspects, information source 120 may include one or more acoustic sensors, which may be part of, and/or may utilize one or more functions of, a monitoring sensor at monitoring location 103, noise acoustic sensor 119, and/or residual noise acoustic sensor 121, e.g., as described below.

In some demonstrative aspects, AAC information 129 may be based, in part or in whole, on acoustic information from one or more of noise acoustic sensor 104 and/or residual noise acoustic sensor 121, e.g., as described below.

In some demonstrative aspects, information source 120 may include one or more environment sensors, which may be configured to sense one or more parameters and/or properties of the environment of sound control region 110, e.g., as described below.

In some demonstrative aspects, the environmental sensor may include, for example, an acoustic sensor, an image sensor, an optical sensor, a light sensor, a temperature sensor, an accelerometer, a pressure sensor, a humidity sensor, and/or any other type of sensor.

In some demonstrative aspects, AAC information 129 may include sensor information from one or more optical and/or image sensors, e.g., as described below. For example, information source 120 may include one or more optical and/or image sensors, such as cameras, for example, as described below.

In some demonstrative aspects, AAC information 129 may include any other sensor information from any other additional or alternative sensor.

In some demonstrative aspects, information source 120 may include one or more status information sources, which may be configured to provide AAC information 129 corresponding to the status of one or more elements and/or settings affecting the AAC configuration, e.g., as described below.

In some demonstrative aspects, AAC information 129 may include vehicle system configuration information corresponding to an operating configuration of one or more vehicle systems of the vehicle, e.g., as described below.

In some demonstrative aspects, AAC information 129 may include vehicle system configuration information from one or more vehicle systems of the vehicle, e.g., as described below. For example, information source 120 may include one or more vehicle systems of a vehicle and/or a system controller of a vehicle, e.g., as described below.

In some demonstrative aspects, AAC information 129 may include vehicle sensor information, which may be received from one or more sensors of a vehicle system of the vehicle, e.g., as described below.

In some demonstrative aspects, AAC information 129 may include vehicle speed information corresponding to a vehicle speed, e.g., as described below.

In some demonstrative aspects, AAC information 129 may include engine information corresponding to an engine of the vehicle, e.g., as described below.

For example, AAC information 129 may include Revolutions Per Minute (RPM) information corresponding to an RPM of an engine of the vehicle, e.g., as described below.

In some demonstrative aspects, AAC information 129 may include brake system information corresponding to a vehicle brake system, e.g., as described below.

For example, AAC information 129 may include brake system information to indicate an operating state of a main brake system, an emergency brake system, and/or an anti-lock brake system (ABS), and/or any other brake system, e.g., as described below.

In some demonstrative aspects, AAC information 129 may include road detection information corresponding to a vehicle road detection system, e.g., as described below.

For example, AAC information 129 may include road detection information to indicate a road type, such as a flat road, a bumpy road, an expressway, a paved road, a dirt road, or a gravel road, for example, as described below.

In some demonstrative aspects, AAC information 129 may include steering information corresponding to a vehicle steering system, e.g., as described below.

For example, AAC information 129 may include steering wheel information indicating a steering wheel angle of the vehicle, e.g., as described below.

In some demonstrative aspects, AAC information 129 may include tire information corresponding to a vehicle tire system, e.g., as described below.

For example, AAC information 129 may include tire pressure information indicating the pressure of one or more tires of the vehicle and/or tire type information indicating the type and/or size of one or more tires of the vehicle, e.g., as described below.

In some demonstrative aspects, AAC information 129 may include seat position information corresponding to a positioning of one or more seats in the vehicle, e.g., as described below.

For example, AAC information 129 may include seat position information corresponding to the positioning of a driver seat and/or the positioning of one or more passenger seats in a vehicle, e.g., as described below.

In some demonstrative aspects, AAC information 129 may include passenger information corresponding to one or more passengers in the vehicle, e.g., as described below.

For example, AAC information 129 may include passenger information to indicate a count, position, location, size, and/or measurement of one or more passengers in the vehicle, e.g., as described below.

In some demonstrative aspects, AAC information 129 may include opening state information corresponding to one or more openings of the vehicle, e.g., as described below.

In some demonstrative aspects, AAC information 129 may include window/roof information corresponding to windows, doors, trunk, and/or roof of the vehicle, e.g., as described below.

For example, AAC information 129 may include: window information to indicate a fully open position, a partially open position, a window opening degree (e.g., a window opening percentage), or a closed position of one or more windows; door information to indicate an opened door or a closed door; and/or roof information to indicate a roof type (e.g., a metal roof or a panoramic roof), a roof position (e.g., an open position, a partially open position), a roof opening degree (e.g., a roof opening percentage), or a closed position of a vehicle roof, e.g., as described below.

In some demonstrative aspects, AAC information 129 may include audio system information corresponding to a vehicle audio system, e.g., as described below.

For example, AAC information 129 may include audio system information to indicate one or more audio parameters of the audio system operation, such as audio volume, audio input, equalizer settings, or music level, etc., for example, as described below.

In some demonstrative aspects, AAC information 129 may include climate information corresponding to an in-vehicle climate and/or an out-of-vehicle climate, e.g., as described below.

For example, AAC information 129 may include temperature information corresponding to an in-vehicle temperature and/or an off-vehicle temperature, e.g., as described below.

For example, AAC information 129 may include humidity information corresponding to an in-vehicle humidity and/or an out-of-vehicle humidity, for example, as described below.

For example, AAC information 129 may include precipitation information corresponding to external rain, snow, and/or ice conditions of the vehicle, e.g., as described below.

In some demonstrative aspects, AAC information 129 may include any other additional or alternative information.

In some demonstrative aspects, controller 193 may be configured to determine a sound control mode to control sound within sound control zone 110, e.g., based on AAC information 129, plurality of noise inputs 104, and plurality of residual noise inputs 106, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may include an output 197 to output the sound control pattern to a plurality of acoustic transducers. For example, the output 197 may be configured to output a sound control pattern in the form of a sound control signal 109 to control the acoustic transducer 108, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may be configured to determine an AAC parameter setting based on AAC configuration information 129, and determine a sound control mode of sound control signal 109, e.g., by applying the AAC parameter setting to at least one of the plurality of noise inputs 104 and/or the plurality of residual noise inputs 106, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may be configured to adapt the AAC parameter settings, e.g., based on a change in AAC configuration information 129, e.g., dynamic adaptation, offline adaptation, and/or real-time adaptation, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may be configured to determine a prediction filter setting of the at least one prediction filter based on, for example, AAC configuration information 129, and to determine the sound control mode based on, for example, the prediction filter setting, e.g., as described below.

In some demonstrative aspects, the prediction filter settings may include, for example, a prediction filter weight vector applied by the prediction filter to determine a sound control mode of sound control signal 109, e.g., based on at least one of the plurality of noise inputs 104 and/or the plurality of residual noise inputs 106, e.g., as described below.

In some demonstrative aspects, the prediction filter settings may include update rate parameters for updating the prediction filter weight vector, e.g., as described below.

In other aspects, AAC controller 102 may be configured to determine any other additional or alternative prediction filter settings based on, for example, AAC configuration information 129.

In some demonstrative aspects, AAC controller 102 may be configured to determine a path transfer function setting of the one or more path transfer functions based on, for example, AAC configuration information 129, and to determine a sound control mode of sound control signal 109, for example, based on applying the path transfer function setting, for example, based on at least one of the plurality of noise inputs 104 and/or the plurality of residual noise inputs 106, e.g., as described below.

In some demonstrative aspects, the path transfer function settings may include path transfer function settings between acoustic transducer 108 and noise-sensing location 105, e.g., as described below.

In some demonstrative aspects, the path transfer function settings may include path transfer function settings between the acoustic transducer 108 and the residual noise sensing location 107, e.g., as described below.

In some demonstrative aspects, the path transfer function setting may include a path transfer function setting between acoustic transducer 108 and monitoring location 103. For example, at least one of the one or more residual noise inputs 106 may be based on a monitoring input sensed, for example, at the monitoring location 103.

For example, the AAC controller 102 may be configured to determine a setting of a path transfer function between the acoustic transducer 108 and a monitoring location 103 of a monitoring sensor for determining the residual noise input 106.

For example, the AAC controller 102 may be configured to determine a sound control mode to control sound within the sound control area 110, e.g. based on a setting of a path transfer function between the acoustic transducer 108 and the monitoring location 103 of the monitoring sensor.

In one example, the monitoring location 103 of the monitoring sensor for determining the residual noise input 106 may be in the acoustic control zone 110.

In another example, the monitoring location 103 of the monitoring sensor for determining the residual noise input 106 may be outside of the acoustic control zone 110.

In some demonstrative aspects, AAC controller 102 may be configured to determine the noise extraction function based on, for example, AAC configuration information, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may be configured to determine one or more extracted acoustic modes, e.g., by applying a noise extraction function to at least one of the plurality of noise inputs 104 and/or the plurality of residual noise inputs 106, and determine a sound control mode of sound control signal 109, e.g., based on the one or more extracted acoustic modes, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may be configured to determine a sound control profile based on AAC configuration information 129, and to determine a sound control mode based on the sound control profile, e.g., as described below.

In some demonstrative aspects, the sound control profile may include settings of one or more sound control parameters, and AAC controller 102 may be configured to determine a sound control mode of sound control signal 109, e.g., according to the sound control profile, based on the settings of the one or more sound control parameters, e.g., as described below.

In some demonstrative aspects, memory 198 may be configured, e.g., by controller 193, to store a plurality of sound control profiles corresponding to a plurality of sound control configurations, e.g., as described below.

In some demonstrative aspects, controller 193 may be configured to select and retrieve the selected sound control profile, e.g., as described below, from a plurality of sound control profiles in memory 198, e.g., based on AAC configuration information 129.

In some demonstrative aspects, controller 193 may be configured to determine a sound control mode of sound control signal 109, e.g., based on the selected sound control profile, e.g., as described below.

In some demonstrative aspects, the plurality of sound control profiles may include one or more user-based profiles corresponding to one or more users, e.g., as described below.

In some demonstrative aspects, the user-based profile corresponding to the user may include settings of one or more sound control parameters, e.g., based on user preferences, e.g., as described below.

In some demonstrative aspects, the user-based profile may correspond to a user, and may allow the user to control user preferences regarding sound control area 110, e.g., as described below.

In one example, the user-based profile may correspond to a user of the sound control zone 110. For example, the user-based profile of the vehicle operator may include settings of one or more sound control parameters, e.g., based on the operator's preferences regarding the sound control zone 110 implemented with respect to the vehicle operator's seat.

In another example, a user-based profile may correspond to a first user to control user preferences regarding a sound control zone 110 that may be used by a second user. For example, the user-based profile of the vehicle driver may include settings of one or more sound control parameters, e.g., based on the driver's preferences regarding the sound control zone 110 implemented with respect to one or more passenger seats of the vehicle.

In some demonstrative aspects, AAC configuration information 129 may include, for example, user identity information corresponding to a user identity. For example, the controller 193 may be configured to select and retrieve a selected sound control profile from a plurality of sound control profiles in the memory 198, for example, based on user identity information in the AAC profile 129.

In some demonstrative aspects, AAC controller 102 may be configured to selectively mute the sound control mode of sound control signal 109, e.g., based on AAC configuration information 129, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may be configured to adjust the volume of the sound control mode of sound control signal 109, e.g., based on AAC configuration information 129, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may be configured to freeze adaptation of the sound control mode of sound control signal 109, e.g., based on AAC configuration information 129, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may be configured to determine a setting of at least one AAC parameter, e.g., based on AAC information 129, and to determine a sound control mode of sound control signal 109, e.g., based on the AAC parameter setting, e.g., as described below.

In some demonstrative aspects, the AAC parameter settings may include settings of a prediction filter, settings of a path transfer function, settings of adaptive AAC parameters, settings of an extractor (also referred to as an "acoustic mode extractor") extracting a plurality of disjoint reference acoustic modes, and/or settings of any other parameters, which may be used to determine, generate, update, configure, and/or adapt a sound control mode to control the acoustic transducer 108, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may be configured to determine a prediction filter setting of at least one prediction filter based on AAC information 129, and determine a sound control mode of sound control signal 109, e.g., based on the prediction filter setting, e.g., as described below.

In some demonstrative aspects, the prediction filter settings may include a prediction filter weight vector applied by the prediction filter to determine a sound control mode based on the plurality of noise inputs 104 and the plurality of residual noise inputs 106, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may be configured to determine, based on AAC information 129, a path transfer function setting of one or more path transfer functions, to determine a sound control mode of sound control signal 109 based on applying the path transfer function setting based on the plurality of noise inputs 104 and the plurality of residual noise inputs 106, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may be configured to determine a path transfer function setting of a path transfer function between acoustic transducer 108 and noise sensing location 105, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may be configured to determine a path transfer function setting of a path transfer function between acoustic transducer 108 and residual noise sensing location 107, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may be configured to extract a plurality of statistically independent disjoint reference acoustic patterns from the plurality of noise inputs 104 and/or to extract a plurality of statistically independent disjoint residual noise acoustic patterns from residual noise input 106.

For example, the controller 193 may include an extractor (also referred to as an "acoustic pattern extractor" or "feature extractor") to extract a plurality of disjoint reference acoustic patterns and/or a plurality of disjoint residual noise acoustic patterns.

The phrase "disjoint acoustic modes" as used herein may refer to a plurality of acoustic modes that are independent with respect to at least one feature and/or attribute (e.g., energy, amplitude, phase, frequency, direction, one or more statistical signal characteristics, etc.).

In some demonstrative aspects, controller 193 may extract the plurality of disjoint reference acoustic patterns by applying a predefined reference noise extraction function to the plurality of reference noise inputs 104.

In some demonstrative aspects, the extraction of disjoint acoustic patterns may be used, for example, to simulate the primary pattern of input 104 as a combination of a predetermined number of disjoint acoustic patterns, e.g., corresponding to a respective number of disjoint simulated sound sources.

In one example, it is contemplated that one or more expected noise patterns expected to affect the sound control zone 110 may be generated by one or more of road noise, wind noise, engine noise, and the like. Accordingly, the controller 193 may be configured to select one or more reference acoustic modes based on one or more attributes of road noise mode, wind noise mode, engine noise mode, and/or any other noise mode.

In some demonstrative aspects, controller 193 may extract the plurality of disjoint residual noise acoustic modes by applying a predefined residual noise extraction function to the plurality of residual noise inputs 106.

In some demonstrative aspects, AAC controller 102 may be configured to determine an acoustic mode extractor setting of the acoustic mode extractor based on AAC information 129, and determine a sound control mode of sound control signal 109, e.g., based on the acoustic mode extractor setting, e.g., as described below.

In some demonstrative aspects, the acoustic mode extractor settings may include one or more acoustic mode extractor coefficients applied by the acoustic mode extractor for determining a plurality of disjoint reference acoustic modes and/or a plurality of disjoint residual noise acoustic modes, e.g., as described below.

In some demonstrative aspects, the acoustic mode extractor settings may include an update rate parameter for updating one or more coefficients of the acoustic mode extractor, e.g., as described below.

In some demonstrative aspects, controller 193 may be configured to determine, update and/or adjust settings of at least one acoustic mode extractor parameter, e.g., in real-time, based on AAC information 129, and determine a sound control mode of sound control signal 109, e.g., based on the acoustic mode extractor parameter settings, e.g., as described below.

In some demonstrative aspects, the acoustic pattern extractor parameter settings may include one or more coefficients, one or more weight parameters, one or more update rate parameters, one or more adaptation parameters, and/or any other parameter settings with which the acoustic pattern extractor may extract a plurality of disjoint reference acoustic patterns and/or a plurality of disjoint residual noise acoustic patterns.

In some demonstrative aspects, AAC information 129 may include passenger tracking information to indicate the position of the passenger's head and/or ears.

For example, information source 120 may include a camera, an image sensor, an optical sensor, and/or any other sensor that may be configured to track the position of a passenger's head and/or ears. For example, the AAC controller 102 may be configured to determine and/or adapt one or more AAC parameters, such as a prediction filter setting, a path transfer function setting, an AAC adaptive parameter setting, and/or an acoustic mode extractor setting, for example, based on passenger tracking information.

In one example, AAC controller 102 may be configured to, for example, based on a change in the passenger's head and/or ear position in sound control area 110 (e.g., in real-time), for example, to set and/or dynamically adapt one or more AAC parameters, such as a prediction filter setting, a path transfer function setting, an AAC adaptation parameter setting, and/or an acoustic mode extractor setting, for example.

In one example, the AAC controller 102 may be configured to, for example, set and/or dynamically adapt the path transfer function settings of the path transfer between the acoustic transducer 108 and the one or more residual noise sensing locations 107, for example, in real time, based on changes in the head and/or ear position of the passenger in the sound control area 110 (e.g., in real time).

In some demonstrative aspects, AAC information 129 may include seat position information corresponding to a positioning of one or more seats in the vehicle. For example, AAC information 129 may include seat position information corresponding to the positioning of a driver seat and/or the positioning of one or more passenger seats in a vehicle.

In one example, the AAC controller 102 may be configured to set and/or dynamically adapt one or more AAC parameters, such as a prediction filter setting, a path transfer function setting, an AAC adaptive parameter setting, and/or an acoustic mode extractor setting, e.g., in real-time, based on seat position information, for example.

In one example, the AAC controller 102 may be configured to, for example, set and/or dynamically adapt a path transfer function setting of a path transfer between the acoustic transducer 108 and the one or more residual noise sensing locations 107, for example, in real time, based on a change in the seat position of the driver and/or passenger (e.g., in real time).

In some demonstrative aspects, AAC information 129 may include passenger information corresponding to one or more passengers in the vehicle. For example, AAC information 129 may include passenger information to indicate a count, position, location, size, and/or measurement of one or more passengers in the vehicle.

In one example, the AAC controller 102 may be configured to set and/or dynamically adapt one or more AAC parameters, such as a prediction filter setting, a path transfer function setting, an AAC adaptive parameter setting, and/or an acoustic mode extractor setting, e.g., in real-time, based on passenger information, for example.

In one example, AAC controller 102 may be configured to, for example, set and/or dynamically adapt, for example, a path transfer function setting, an acoustic mode extractor setting, and/or a predictive filter setting of a path transfer between acoustic transducer 108 and one or more noise sensing locations 105, based on a count, location, place, size, and/or measurement of one or more passengers in the vehicle, for example, in real-time.

In some demonstrative aspects, AAC information 129 may include climate information corresponding to an in-vehicle climate.

In one example, the AAC controller 102 may be configured to, for example, based on a change in the vehicle interior climate (e.g., in real-time), for example, set in real-time and/or dynamically adapt one or more AAC parameters, such as a prediction filter setting, a path transfer function setting, an AAC adaptive parameter setting, and/or an acoustic mode extractor setting.

In one example, the AAC controller 102 may be configured to, for example, based on climate change in the vehicle (e.g., in real time), e.g., to set and/or dynamically adapt path transfer function settings of path transfer between the acoustic transducer 108 and the one or more noise sensing locations 107, path transfer function settings of path transfer between the acoustic transducer 108 and the one or more noise sensing locations 105, acoustic mode extractor settings, and/or prediction filter settings. For example, the AAC controller 102 may be configured to, for example, set and/or dynamically adapt path transfer function settings, acoustic mode extractor settings, and/or predictive filter settings of path transfer between the acoustic transducer 108 and the one or more noise sensing locations 107, path transfer function settings of path transfer between the acoustic transducer 108 and the one or more noise sensing locations 105, based on detected changes in temperature and/or humidity levels in the vehicle as indicated by AAC information 129, for example, in real-time.

In some demonstrative aspects, AAC information 129 may include vehicle system information corresponding to a noise-generating vehicle system of the vehicle, and AAC controller 102 may be configured to determine a sound control mode of sound control signal 109, e.g., based on the vehicle system information, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may be configured to determine a sound control mode of sound control signal 109, e.g., based on the vehicle system information, such that the sound control mode is to be used to control, reshape, reduce, or eliminate noise of the vehicle system generating the noise in sound control area 110, e.g., as described below.

In some demonstrative aspects, the noise-producing vehicle systems may include, for example, a vehicle engine, a vehicle tire, a vehicle braking system, a vehicle steering system, a vehicle air conditioning system, and/or any other system of the vehicle.

In some demonstrative aspects, AAC information 129 may include vehicle system setting information representing a setting of a vehicle system of the vehicle, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may be configured to determine a sound control mode of sound control signal 109, e.g., based on the vehicle system setting information, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may be configured to determine the first sound control mode of sound control signal 109, e.g., based on AAC information 129 including first vehicle system setting information representative of a first setting of the vehicle system, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may be configured to determine a second sound control mode of sound control signal 109 different from the first sound control mode, e.g., as described below, based on AAC information 129 including second vehicle system setting information representative of a second setting of the vehicle system different from the first setting of the vehicle system.

In some demonstrative aspects, AAC controller 102 may be configured to dynamically update the sound control mode of sound control signal 109, e.g., based on a change in vehicle system setting information representing a change in vehicle system setting, e.g., as described below.

In some demonstrative aspects, AAC information 129 may include operation mode information representative of an operation mode of a vehicle system of the vehicle, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may be configured to determine a sound control mode of sound control signal 109, e.g., based on the operation mode information, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may be configured to determine the first sound control mode of sound control signal 109, e.g., based on AAC information 129 including first operation mode information representative of the first operation mode of the vehicle system, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may be configured to determine a second sound control mode of sound control signal 109 different from the first sound control mode, e.g., as described below, based on AAC information 129 including second operation mode information representative of a second operation mode of the vehicle system different from the first operation mode of the vehicle system.

In some demonstrative aspects, AAC controller 102 may be configured to dynamically update the sound control mode of sound control signal 109, e.g., based on a change in the operating mode information representing a change in the operating mode of the vehicle system, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may be configured to determine a sound control profile based on AAC information 129, and to determine a sound control mode of sound control signal 109, e.g., based on the sound control profile, e.g., as described below.

In some demonstrative aspects, the sound control profile may include settings of one or more sound control parameters, and AAC controller 102 may be configured to determine a sound control mode of sound control signal 109, e.g., based on the settings of the one or more sound control parameters, e.g., as described below.

In some demonstrative aspects, memory 198 may be configured to store a plurality of sound control profiles (AAC profiles) 199, e.g., as described below, corresponding to the plurality of sound control configurations, respectively.

In some demonstrative aspects, AAC profile 199 corresponding to the particular sound control configuration may include, for example, settings of one or more AAC parameters, e.g., prediction filter settings, path transfer function settings, AAC adaptation parameter settings, and/or acoustic mode extractor settings corresponding to the particular sound control configuration, e.g., as described below.

In some demonstrative aspects, AAC controller 102 may be configured to select a selected sound control profile from a plurality of sound control profiles 198 based on AAC information 129, and determine a sound control mode based on the selected sound control profile, e.g., as described below.

In some demonstrative aspects, controller 193 may be configured to determine a sound control mode of sound control signal 109 based on AAC information 129, e.g., such that the sound control mode is to be used to control, remodel, reduce or eliminate noise from one or more noise sources in at least one sound control zone 110, e.g., as described below.

In one example, AAC information 129 may include RPM information of a vehicle engine.

In one example, the controller 193 may be configured to determine the sound control mode of the sound control signal 109 based on, for example, RPM information, e.g., such that the sound control mode will be used to control, reshape, reduce or eliminate engine noise, and/or modify the sound control mode to improve the reduction of other noise sources in the at least one sound control zone 110.

In another example, the controller 193 may be configured to determine and/or modify a sound control mode of the sound control signal 109 based on RPM information, e.g., to support controlling and/or reducing one or more other sound modes, e.g., to support reducing and/or eliminating noise from one or more other noise sources, e.g., based on any other additional or alternative criteria.

In yet another example, the controller 193 may be configured to selectively and/or dynamically turn on/off, mute, and/or slow down and/or stop (freeze) adaptation of one or more AAC functions, e.g., based on RPM information in AAC information 129 and/or any other type of information, e.g., as described below.

In another example, AAC information 129 may include window/roof information to indicate an open/closed state of windows and/or roofs of a vehicle, and/or roof type of a roof, such as a metal roof or a panorama roof. For example, the controller 193 may be configured to determine the sound control mode of the sound control signal 109, e.g., based on window/roof information, such that the sound control mode will be used to control, reshape, reduce or eliminate external noise from the vehicle environment, e.g., wind noise, road noise, etc., in the at least one sound control zone 110.

In yet another example, AAC information 129 may include road detection information corresponding to a road detection system of a vehicle. For example, the controller 193 may be configured to determine the sound control mode of the sound control signal 109, e.g. based on the road detection information, e.g. such that the sound control mode will be used to control, reshape, reduce or eliminate external noise from the vehicle environment in the at least one sound control zone 110, e.g. based on the road type indicated by the road detection information.

In another example, AAC information 129 may include tire information corresponding to a vehicle tire system. For example, the controller 193 may be configured to determine the sound control mode of the sound control signal 109, e.g., based on the RPM information, e.g., such that the sound control mode will control, remodel, reduce or eliminate noise from the tires in the at least one sound control zone 110, e.g., based on the pressure of the one or more tires of the vehicle and/or the type and/or size of the one or more tires of the vehicle.

In yet another example, AAC information 129 may include climate information corresponding to a climate outside the vehicle. For example, the controller 193 may be configured to determine the sound control pattern of the sound control signal 109, e.g., based on climate information, such that the sound control pattern will be used to control, reshape, reduce or eliminate external noise from the vehicle environment, e.g., rain noise, wind noise, road noise, and/or any other noise, in the at least one sound control zone 110.

In another example, AAC information 129 may include steering information corresponding to a vehicle steering system. For example, the controller 193 may be configured to determine the sound control mode of the sound control signal 109, e.g., based on steering information, such that the sound control mode will be used to control, reshape, reduce or eliminate external noise from the vehicle environment in the at least one sound control zone 110, e.g., based on the angle of the vehicle steering wheel (e.g., left/right steering angle).

In yet another example, AAC information 129 may include brake system information to indicate an operating state of a main brake system, an emergency brake system, an Antilock Brake System (ABS), and/or any other brake system of the vehicle. For example, the controller 193 may be configured to determine the sound control mode of the sound control signal 109, e.g., based on brake system information, e.g., such that the sound control mode controls, reshapes, reduces or eliminates external noise from the vehicle environment in the at least one sound control zone 110, e.g., based on the operating state of the brake system.

In some demonstrative aspects, AAC controller 193 may be configured to dynamically generate, control, modify, update and/or adjust a sound control pattern to be provided to acoustic transducer 108, e.g., based on AAC information 129, e.g., via sound control signal 109, e.g., in real-time, e.g., as described below.

In some demonstrative aspects, AAC controller 193 may be configured to dynamically generate, control, modify, update, and/or adjust a sound control mode to be provided to acoustic transducer 108, e.g., in real-time, e.g., via sound control signal 109, e.g., by selectively generating sound control signal 109 and/or selectively providing sound control signal 109 to acoustic transducer 108, e.g., as described below.

In some demonstrative aspects, AAC controller 193 may be configured to dynamically generate, control, modify, update and/or adjust a sound control mode to be provided to acoustic transducer 108, e.g., in real-time, e.g., via sound control signal 109, e.g., by selecting whether to provide sound control signal 109 to acoustic transducer 108, e.g., as described below.

In some demonstrative aspects, AAC controller 193 may be configured to dynamically generate, control, modify, update, and/or adjust a sound control mode to be provided to acoustic transducer 108, e.g., in real-time, e.g., via sound control signal 109, e.g., by selecting whether to adjust one or more AAC parameters to generate sound control signal 109, e.g., as described below.

In some demonstrative aspects, AAC controller 193 may be configured to dynamically mute the sound control mode provided to acoustic transducer 108, e.g., in real-time, e.g., via sound control signal 109, and/or to dynamically reduce the level of the sound control mode provided to acoustic transducer 108, e.g., in real-time, e.g., via sound control signal 109, e.g., as described below, e.g., based on AAC information 129.

In some demonstrative aspects, AAC controller 193 may be configured to dynamically identify one or more predefined conditions ("mute conditions") based on AAC information 129, e.g., in real-time, wherein, for example, the sound control mode provided to acoustic transducer 108 is muted or set to a reduced level, e.g., as described below, via sound control signal 109.

In some demonstrative aspects, AAC controller 193 may be configured to mute or reduce the level of the sound control pattern to be provided to acoustic transducer 108, e.g., as described below, e.g., based on an identification of a predefined mute condition, e.g., via sound control signal 109.

In some demonstrative aspects, AAC controller 193 may be configured to mute the sound control mode provided to acoustic transducer 108, e.g., via sound control signal 109, e.g., by setting a Prediction Filter (PF) to zero, e.g., as described below.

In some demonstrative aspects, AAC controller 193 may be configured to mute the sound control mode provided to acoustic transducer 108, e.g., via sound control signal 109, e.g., by setting the input of reference sensor 104 to zero, e.g., as described below.

In some demonstrative aspects, AAC controller 193 may be configured to mute the sound control mode provided to acoustic transducer 108, e.g., via sound control signal 109, e.g., by setting sound control signal 109 to zero, e.g., as described below.

In some demonstrative aspects, AAC controller 193 may be configured to generate the sound control mode, e.g., via sound control signal 109, e.g., by selecting not to call an AAC function, such that the sound control mode provided to acoustic transducer 108 is muted, e.g., as described below.

In some demonstrative aspects, AAC controller 193 may be configured to mute the sound control mode provided to acoustic transducer 108, e.g., via sound control signal 109, e.g., by selectively zeroing out some or all of the input/output of the acoustic mode extractor, e.g., as described below.

In some demonstrative aspects, AAC controller 193 may be configured to mute the sound control mode provided to acoustic transducer 108, e.g., via sound control signal 109, e.g., based on any other additional or alternative settings and/or mechanisms.

In some demonstrative aspects, AAC controller 193 may be configured to dynamically reduce and/or stop ("freeze") adaptation of one or more AAC parameters for generating sound control signal 109, e.g., based on AAC information 129, e.g., in real-time, e.g., as described below.

In some demonstrative aspects, AAC controller 193 may be configured to dynamically identify, based on AAC information 129, for example, in real-time, one or more predefined conditions ("adaptation mitigation/freezing conditions") in which adaptation of one or more AAC parameters for generating sound control signals 109 is to be slowed or stopped, e.g., as described below.

In some demonstrative aspects, AAC controller 193 may be configured to slow down and/or stop adaptation of one or more AAC parameters used to generate sound control signals 109, e.g., based on an identification of a predefined adaptation freeze condition, e.g., as described below.

In some demonstrative aspects, AAC controller 193 may be configured to stop adaptation of one or more AAC parameters used to generate sound control signals 109, e.g., by setting an input from residual noise sensor 106 to zero, e.g., as described below.

In some demonstrative aspects, AAC controller 193 may be configured to stop the adaptation of one or more AAC parameters for generating sound control signal 109, e.g., by setting one or more Speaker Transfer Functions (STFs) to zero, e.g., as described below.

In some demonstrative aspects, AAC controller 193 may be configured to stop adaptation of one or more AAC parameters used to generate sound control signals 109, e.g., by setting the PF step size to zero, e.g., as described below.

In some demonstrative aspects, AAC controller 193 may be configured to increase the PF step size, e.g., by increasing one or more update rate parameters μ _km The adaptation of one or more AAC parameters for generating the sound control signal 109 is slowed down, for example, as described below.

In some demonstrative aspects, AAC controller 193 may be configured to cease adaptation of the one or more AAC parameters used to generate sound control signals 109, e.g., by selecting not to invoke an adaptive AAC function (which may be used to adapt the one or more parameters used to generate sound control modes), e.g., as described below.

In some demonstrative aspects, AAC controller 193 may be configured to slow down and/or stop adaptation of one or more AAC parameters used to generate sound control signals 109, e.g., based on any other additional or alternative settings and/or mechanisms.

In some demonstrative aspects, AAC information 192 may include voice detection information to indicate the voice of one or more passengers detected within the vehicle.

In some demonstrative aspects, information source 120 may include a voice detector to generate voice detection information.

In one example, the voice detector may be configured to generate voice detection information based on acoustic information from the reference acoustic sensor 104, for example.

In another example, the voice detector may be configured to generate voice detection information based on acoustic information from one or more other acoustic sensors (e.g., dedicated voice detection sensors and/or any other dedicated or non-dedicated sensors).

In some demonstrative aspects, AAC controller 193 may be configured to slow down and/or stop adaptation of one or more AAC parameters used to generate sound control signals 109, e.g., based on recognition of AAC information 192 indicating that speech is detected.

In some demonstrative aspects, AAC controller 193 may be configured to mute the sound control mode provided to acoustic transducer 108, e.g., via sound control signal 109, based on, e.g., identifying AAC information 192 to indicate that speech is detected.

In some demonstrative aspects, AAC information 192 may include audio information corresponding to audio heard in the vehicle.

In some demonstrative aspects, information source 120 may include an audio source or an audio controller to provide and/or control audio heard in the vehicle.

In some demonstrative aspects, AAC controller 193 may be configured to selectively slow down and/or stop adaptation of one or more AAC parameters used to generate sound control signals 109, e.g., based on the audio information.

In some demonstrative aspects, AAC controller 193 may be configured to selectively slow down and/or stop adaptation of one or more AAC parameters used to generate sound control signals 109, e.g., based on an audio level and/or an equalization level of audio heard in the vehicle.

In some demonstrative aspects, AAC controller 193 may be configured to mute the sound control mode provided to acoustic transducer 108, e.g., via sound control signal 109, based on an output level of acoustic transducer 108. For example, the AAC controller 193 may be configured to mute the sound control mode provided to the acoustic transducer 108, e.g. via the sound control signal 109, based on detecting that the output level of the acoustic transducer 108 is greater than a predefined threshold ("maximum speaker threshold"), and/or based on detecting that the output level of the acoustic transducer 108 is less than a predefined threshold ("minimum speaker threshold").

In some demonstrative aspects, AAC controller 193 may be configured to slow down and/or stop adaptation of one or more AAC parameters used to generate sound control signals 109, e.g., based on an output level of acoustic transducer 108. For example, the AAC controller 193 may be configured to slow down and/or stop the adaptation of one or more AAC parameters for generating the sound control signal 109, e.g. based on detecting that the output level of the acoustic transducer 108 is larger than a maximum speaker threshold and/or based on detecting that the output level of the acoustic transducer 108 is smaller than a minimum speaker threshold.

In some demonstrative aspects, AAC controller 193 may be configured to mute the sound control mode provided to acoustic transducer 108, e.g., via sound control signal 109, based on a level of noise input 104. For example, the AAC controller 193 may be configured to mute the sound control mode provided to the acoustic transducer 108, e.g. via the sound control signal 109, based on detecting that the level of the noise input 104 is greater than a predetermined threshold ("maximum reference threshold") and/or based on detecting that the level of the noise input 104 is less than a predetermined threshold ("minimum reference threshold").

In some demonstrative aspects, AAC controller 193 may be configured to slow down and/or stop adaptation of one or more AAC parameters used to generate sound control signals 109, e.g., based on the level of noise input 104. For example, the AAC controller 193 may be configured to slow down and/or stop adaptation of one or more AAC parameters for generating the sound control signal 109, e.g. based on detecting that the level of the noise input 104 is greater than a maximum reference threshold and/or based on detecting that the level of the noise input 104 is less than a minimum reference threshold.

In some demonstrative aspects, AAC controller 193 may be configured to mute the sound control mode provided to acoustic transducer 108, e.g., via sound control signal 109, e.g., based on the level of residual noise input 106. For example, the AAC controller 193 may be configured to mute the sound control mode provided to the acoustic transducer 108, e.g. via the sound control signal 109, based on detecting that the level of the residual noise input 106 is greater than a predetermined threshold ("maximum residual threshold") and/or based on detecting that the level of the residual noise input 106 is less than a predetermined threshold ("minimum residual threshold").

In some demonstrative aspects, AAC controller 193 may be configured to slow down and/or stop adaptation of one or more AAC parameters used to generate sound control signals 109, e.g., based on residual noise input 106. For example, the AAC controller 193 may be configured to slow down and/or stop adaptation of one or more AAC parameters for generating the sound control signal 109, e.g. based on detecting that the residual noise input 106 is larger than a maximum residual threshold and/or based on detecting that the residual noise input 106 is smaller than a minimum residual threshold.

In some demonstrative aspects, AAC controller 193 may be configured to mute, for example, via sound control signal 109, a sound control mode to be provided to acoustic transducer 108, and/or to slow down and/or stop adaptation of one or more AAC parameters used to generate sound control signal 109 based on a determination that one or more acoustic sensors are malfunctioning and/or malfunctioning.

In some demonstrative aspects, AAC controller 193 may be configured to detect, for example, that one or more acoustic sensors are malfunctioning and/or malfunctioning based on AAC information 129.

In some demonstrative aspects, AAC controller 193 may be configured to mute, e.g., via sound control signal 109, a sound control mode to be provided to acoustic transducer 108, and/or to slow down and/or stop adaptation of one or more AAC parameters for generating sound control signal 109 based on a determination that one or more reference acoustic sensors 119 are malfunctioning and/or malfunctioning.

In some demonstrative aspects, AAC controller 193 may be configured to detect one or more reference acoustic sensors 119, which are malfunctioning and/or malfunctioning, e.g., based on noise input 104 and/or based on any other information in AAC information 129.

In some demonstrative aspects, AAC controller 193 may be configured to mute, e.g., via sound control signal 109, a sound control mode to be provided to acoustic transducer 108, and/or to slow down and/or stop adaptation of one or more AAC parameters for generating sound control signal 109 based on a determination that one or more residual noise acoustic sensors 121 are malfunctioning and/or malfunctioning.

In some demonstrative aspects, AAC controller 193 may be configured to detect one or more residual noise acoustic sensors 121, which are malfunctioning and/or malfunctioning, e.g., based on residual noise input 106 and/or based on any other information in AAC information 129.

In some demonstrative aspects, AAC controller 193 may be configured to mute the sound control mode provided to acoustic transducer 108, e.g., via sound control signal 109, and/or to slow down and/or stop adaptation of one or more AAC parameters used to generate sound control signal 109, based on speed information corresponding to the speed of the vehicle.

In one example, the AAC controller 193 may be configured to mute the sound control mode provided to the acoustic transducer 108, for example via the sound control signal 109, and/or to slow down and/or stop adaptation of one or more AAC parameters for generating the sound control signal 109 based on detecting that the speed information indicates that the vehicle speed of the vehicle is above a predetermined vehicle speed threshold and/or beyond a predetermined vehicle speed range.

In some demonstrative aspects, AAC controller 193 may be configured to mute the sound control mode to be provided to acoustic transducer 108, e.g., via sound control signal 109, and/or to slow down and/or stop adaptation of one or more AAC parameters for generating sound control signal 109, based on opening state information corresponding to one or more openings of the vehicle.

In one example, the AAC controller 193 may be configured to mute the sound control mode provided to the acoustic transducer 108, for example, via the sound control signal 109, and/or to slow down and/or stop adaptation of one or more AAC parameters for generating the sound control signal 109, based on detecting that the open state information indicates that a door of the vehicle is open, a window is open (e.g., greater than a predetermined opening percentage), a trunk of the vehicle is open, and/or a roof of the vehicle is open (e.g., greater than a predetermined opening percentage).

In some demonstrative aspects, AAC controller 193 may be configured to mute the sound control mode provided to acoustic transducer 108, e.g., via sound control signal 109, and/or to slow down and/or stop adaptation of one or more AAC parameters for generating sound control signal 109, based on tire information corresponding to a tire system of the vehicle.

In one example, the AAC controller 193 may be configured to mute the sound control mode to be provided to the acoustic transducer 108, for example via the sound control signal 109, and/or to reduce and/or stop adaptation of one or more AAC parameters for generating the sound control signal 109, based on detecting that the tire information indicates that the tire pressure of the one or more tires is not within a predetermined tire pressure range.

In some demonstrative aspects, AAC controller 193 may be configured to mute the sound control mode provided to acoustic transducer 108, e.g., via sound control signal 109, and/or to slow down and/or stop adaptation of one or more AAC parameters for generating sound control signal 109, based on climate information corresponding to the climate in the vehicle.

In one example, the AAC controller 193 may be configured to mute the sound control mode provided to the acoustic transducer 108, for example via the sound control signal 109, and/or to slow down and/or stop adaptation of one or more AAC parameters used to generate the sound control signal 109, based on detecting that the climate information indicates that the temperature within the vehicle is not within a predetermined temperature range and/or that the humidity level within the vehicle is not within a predetermined humidity level range.

In some demonstrative aspects, AAC controller 193 may be configured to mute the sound control mode provided to acoustic transducer 108, e.g., via sound control signal 109, and/or to slow down and/or stop adaptation of one or more AAC parameters used to generate sound control signal 109, based on climate information corresponding to the climate outside the vehicle.

In one example, the AAC controller 193 may be configured to mute the sound control mode provided to the acoustic transducer 108, for example via the sound control signal 109, and/or to slow down and/or stop adaptation of one or more AAC parameters used to generate the sound control signal 109, based on detecting that the climate information indicates that the temperature outside the vehicle is not within a predetermined temperature range and/or that the humidity level outside the vehicle is not within a predetermined humidity level range.

In some demonstrative aspects, AAC controller 193 may be configured to mute the sound control mode provided to acoustic transducer 108, e.g., via sound control signal 109, and/or to slow down and/or stop adaptation of one or more AAC parameters for generating sound control signal 109, based on vehicle system information corresponding to a vehicle system of the vehicle.

In one example, the AAC controller 193 may be configured to mute the sound control mode provided to the acoustic transducer 108, for example via the sound control signal 109, and/or to slow down and/or stop adaptation of one or more AAC parameters for generating the sound control signal 109 based on detecting that the vehicle system information indicates that the operating condition of the vehicle system is not within a predefined operating condition range.

In one example, the AAC controller 193 may be configured to mute the sound control mode provided to the acoustic transducer 108, for example via the sound control signal 109, and/or to reduce and/or stop adaptation of one or more AAC parameters for generating the sound control signal 109 based on detecting that the vehicle system information indicates that the engine RPM is not within a predetermined RPM range.

In one example, the AAC controller 193 may be configured to mute the sound control mode provided to the acoustic transducer 108, for example via the sound control signal 109, and/or to slow down and/or stop adaptation of one or more AAC parameters for generating the sound control signal 109 based on detecting that the vehicle system information indicates that the operating condition of the vehicle air conditioning system is not within a predefined operating condition range and/or that the blower speed of the air conditioning system of the vehicle is not within a predefined operating condition range.

In some demonstrative aspects, controller 193 may be configured to dynamically update the sound control mode of sound control signal 109, e.g., as described below, based on a detected change in AAC information 129 indicative of a change in the acoustic configuration of the AAC system operation.

For example, the controller 193 may be configured to dynamically monitor the AAC input 129 to detect changes in the AAC information 129, for example, in real-time.

For example, the controller 193 may be configured to dynamically update the sound control mode of the sound control signal 109, e.g., in real-time, based on detected changes in the AAC information 129, for example.

In some demonstrative aspects, controller 193 may be configured to determine settings of one or more sound control parameters based on AAC information 129, and determine a sound control mode based on the settings of the one or more sound control parameters, e.g., as described below.

In other aspects, the controller 193 may be configured to determine the setting of one or more sound control parameters based on any other additional or alternative criteria associated with the AAC information 129.

In some demonstrative aspects, controller 193 may be configured to determine an AAC profile based on AAC information 129, e.g., as described below.

In some demonstrative aspects, controller 193 may be configured to determine a sound control mode of sound control signal 109 based on the AAC profile, e.g., as described below.

In some demonstrative aspects, the AAC profile may include settings of one or more sound control parameters, which may be used to determine a sound control mode of sound control signal 109, e.g., as described below.

In some demonstrative aspects, controller 193 may be configured to determine a sound control mode of sound control signal 109, e.g., based on the setting of one or more sound control parameters, e.g., as described below.

In some demonstrative aspects, memory 198 may be configured to store a plurality of AAC profiles 199, e.g., as described below.

In some demonstrative aspects, AAC profile 199 may include settings of one or more sound control parameters corresponding to an AAC operational configuration of AAC system 100, e.g., as described below.

In one example, the first AAC profile 199 may correspond to a first AAC operating configuration of the AAC system 100. According to the present example, the first AAC profile 199 corresponding to the first AAC operation configuration of the AAC system 100 may include, for example, first settings of one or more sound control parameters. For example, the first setting of the one or more sound control parameters may be configured for sound control applied, for example, when the AAC system 100 is operated in the first operating condition.

In another example, the second AAC profile 199 may correspond to a second AAC operating configuration of the AAC system 100. According to the present example, the second AAC profile 199 corresponding to the second AAC operation configuration of the AAC system 100 may include, for example, second settings, different from the first settings, for example, of one or more sound control parameters. For example, the second setting of the one or more sound control parameters may be configured for sound control applied, for example, when the AAC system 100 is operated in a second operating condition, for example, different from the first operating condition.

In some demonstrative aspects, controller 193 may be configured to select a selected AAC profile from a plurality of AAC profiles 199, e.g., based on AAC information 129, and determine a sound control mode of sound control signal 109, e.g., based on the selected AAC profile, e.g., as described below.

In some demonstrative aspects, AAC profile 199 may include user-based profiles corresponding to one or more users, e.g., as described below.

In some demonstrative aspects, the user-based profile may correspond to a user, and the user may be allowed to control user preferences with respect to sound control area 110, e.g., as described above.

In some demonstrative aspects, AAC information 129 may include user identity information corresponding to the user identity, and controller 193 may select a selected user-based profile from a plurality of AAC profiles 199 based on the user identity information.

In one example, AAC profile 199 may include a user-based profile corresponding to a driver of a vehicle. For example, the controller 193 may be configured to identify identity information corresponding to a driver of the vehicle based on, for example, AAC information 129 received from a system of the vehicle. For example, the controller 193 may select a selected user-based profile corresponding to the driver from the plurality of AAC profiles 199, for example, based on user identity information corresponding to the driver.

For example, a user-based profile corresponding to a driver may include information defining one or more sound control parameter settings for the sound control zone 110 based on driver preferences.

In one example, the user-based profile corresponding to the driver may include information defining one or more sound control parameter settings for the driver sound control zone 110 corresponding to the driver's seat. In another example, a user-based profile corresponding to a driver may include information defining one or more sound control parameter settings for a passenger sound control zone 110 corresponding to a passenger seat in a vehicle.

In some demonstrative aspects, controller 193 may be configured to determine the sound control mode of sound control signal 109 corresponding to sound control zone 110, e.g., based on a user-based profile corresponding to the driver, e.g., based on a setting of one or more sound control parameters of sound control zone 110.

In some demonstrative aspects, the setting of the one or more sound control parameters may include a Prediction Filter (PF) setting for determining a sound control mode based on the plurality of noise inputs 104 and the plurality of residual noise inputs 106, e.g., as described below.

In some demonstrative aspects, the setting of the one or more sound control parameters may include a prediction filter weight vector to be applied to determine a sound control mode based on the plurality of noise inputs 104 and the plurality of residual noise inputs 106, e.g., as described below.

In some demonstrative aspects, the setting of the one or more sound control parameters may include an update rate parameter for updating the prediction filter weight vector, e.g., as described below.

In some demonstrative aspects, the setting of the one or more sound control parameters may include one or more path transfer functions, e.g., including one or more Speaker Transfer Functions (STFs), to be applied to determine a sound control mode based on the plurality of noise inputs 104 and the plurality of residual noise inputs 106, e.g., as described below.

In some demonstrative aspects, the setting of the one or more sound control parameters may include a setting of a level of noise cancellation, noise control and/or sound isolation to be applied in sound control region 110.

In one example, AAC profile 199 corresponding to a sound control zone 110 (e.g., a driver sound control zone) may define a sound insulation level between the driver sound control zone and one of a plurality of other sound control zones (e.g., a passenger sound control zone). For example, the sound insulation level between the driver sound control zone and the other sound control zone may represent a level at which sound from the driver sound control zone may be heard in the other sound control zone, and/or a level at which sound from the other sound control zone may be heard in the driver sound control zone.

In another example, AAC profile 199 corresponding to a sound control area 110 (e.g., a driver sound control area) may define a sound insulation level between the driver sound control area and an environment (e.g., an off-vehicle environment). For example, the sound insulation level between the driver's voice control zone and the environment may represent a level in which sound from the environment may be heard in the driver's voice control zone.

In some demonstrative aspects, the setting of the one or more sound control parameters may include a setting of an audio level to be heard in sound control zone 110.

In other aspects, the setting of the one or more sound control parameters may include a setting of one or more additional or alternative parameters, weights, coefficients, and/or functions that are to be applied to determine a sound control mode based on the plurality of noise inputs 104 and the plurality of residual noise inputs 106.

In some demonstrative aspects, controller 193 may determine sound control signal 109, e.g., by applying an estimation function or a prediction function to noise input 104 and/or residual noise input 106, e.g., as described below.

In some demonstrative aspects, controller 193 may include an estimator (also referred to as a "prediction unit") configured to apply an estimation or prediction function to noise input 104 and/or residual noise input 106, e.g., as described below.

In some demonstrative aspects, controller 193 may be configured to cause the estimator or prediction unit to utilize one or more prediction parameters, e.g., for estimating a function, e.g., as described below, e.g., based on AAC information 129.

In one example, the controller 193 may be configured to determine a first set of prediction parameters of a first AAC configuration of the AAC system 100, for example, based on the first AAC information 129.

In another example, the controller 193 may be configured to determine a second set of prediction parameters of a second AAC configuration of the AAC system 100, for example, based on the second AAC information 129.

In some demonstrative aspects, controller 193 may determine one or more prediction parameters of the AAC configuration, e.g., based on a look-up table (LUT), e.g., as described below.

In some demonstrative aspects, the LUT may be configured to map a plurality of AAC configurations and a plurality of settings of the prediction parameters.

In one example, the LUT may be configured to match between a first prediction parameter and a first AAC configuration, and/or the LUT may match between a second prediction parameter, e.g., different from the first prediction parameter, and a second AAC configuration, e.g., different from the first HVAACAC configuration.

In some demonstrative aspects, controller 193 may determine one or more prediction parameters of the AAC configuration, e.g., based on any other additional or alternative algorithms, methods, functions and/or programs.

In some demonstrative aspects, the prediction parameters may include weights, coefficients, functions and/or any other additional or alternative parameters to be used in determining the sound control mode, e.g., as described below.

In some demonstrative aspects, the prediction parameters may include one or more path transfer function parameters of an estimated or predicted function, e.g., as described below. In one example, the prediction parameters may include one or more STFs to be applied by the controller 193 to determine the sound control mode. In one example, the STF may include a representation of an acoustic path from one or more of the acoustic transducers 108 to one or more of the noise sensing locations 105.

In some demonstrative aspects, the prediction parameters may include one or more update rate parameters corresponding to an update rate of the weights of the estimation or prediction function, e.g., as described below.

In other aspects, the prediction parameters may include any other additional or alternative parameters.

In some demonstrative aspects, controller 193 may be configured to determine, set, adjust, and/or update one or more of the STFs based on the changes in the AAC configuration indicated by AAC information 129, e.g., as described below.

In some demonstrative aspects, controller 193 may be configured to determine, set, adjust, and/or update one or more of the prediction parameters based on the change in the AAC configuration indicated by AAC information 129, e.g., as described below.

In some illustrative aspects, AAC controller 193 can be configured according to a non-hybrid scheme, for example, as described below.

In some demonstrative aspects, the non-hybrid scheme may include a noise prediction filter, which may be applied to a prediction filter input based on noise input 104, e.g., as described below.

Referring now to FIG. 3, a diagram schematically illustrates a controller 300 in accordance with some demonstrative aspects. In some aspects, AAC controller 202 (fig. 1) and/or controller 193 (fig. 1) may perform one or more functions and/or operations of, for example, controller 300.

In some demonstrative aspects, controller 300 may receive AAC information 329, e.g., including AAC information 129 (fig. 1).

In some demonstrative aspects, controller 300 may receive a plurality of inputs 304 (e.g., including input 104 (fig. 1)) representing acoustic noise at a plurality of predetermined noise-sensing locations (e.g., locations 105 (fig. 2)). The controller 300 may generate the sound control signal 312 to control at least one acoustic transducer 314, such as the acoustic transducer 108 (fig. 1).

In some demonstrative aspects, controller 300 may include an estimator ("prediction unit") 310 to estimate signal 312 by applying an estimation function to input 308 corresponding to input 304.

In some demonstrative aspects, estimator 310 may estimate signal 312, e.g., based on AAC information 329, e.g., as described below.

In some demonstrative aspects, controller 300 may include an extractor 306 to extract a plurality of disjoint reference acoustic patterns from input 304, e.g., as shown in fig. 3. According to these aspects, the input 308 may include a plurality of disjoint reference acoustic patterns.

In some demonstrative aspects, controller 300 may generate signal 312 configured to control, reshape, reduce, and/or cancel noise generated by one or more noise sources, e.g., as described above.

In some demonstrative aspects, controller 300 may generate sound control signal 312 configured to control, reshape, reduce, and/or eliminate noise energy and/or amplitude of one or more sound modes within the sound control zone, while noise energy and/or amplitude of one or more other sound modes may not be affected within the sound control zone.

In some demonstrative aspects, acoustic control signal 312 may be configured to control, reshape, reduce, and/or eliminate noise generated by one or more vehicle systems, e.g., as described above.

In some demonstrative aspects, feature extractor 306 may be configured to determine, update, and/or adjust settings of at least one acoustic pattern extractor parameter, e.g., in real-time, based on AAC information 329, and determine a plurality of disjoint reference acoustic patterns of input 308, e.g., based on the acoustic pattern extractor parameter settings.

In other aspects, the controller 300 may not include the extractor 306. Thus, the inputs 308 may include the input 304 and/or any other input based on the input 304.

In some demonstrative aspects, estimator 310 may apply any suitable linear and/or non-linear estimation function to input 308. In one example, the estimation function may include a non-linear estimation function, such as a radial basis function.

In some demonstrative aspects, estimator 310 may be capable of adapting one or more parameters of the estimation function based on a plurality of residual noise inputs 316 representative of acoustic residual noise located at a plurality of predefined residual noise sensing locations within the noise control region. For example, the inputs 316 may include the inputs 106 (fig. 1) representing acoustic residual noise located at the residual noise sensing locations 107 (fig. 2) within the noise control zone 110 (fig. 2).

In some demonstrative aspects, one or more of inputs 316 may include at least one virtual microphone input corresponding to residual noise ("noise error") sensed by at least one virtual error sensor at least one particular residual noise sensor location (fig. 2) of locations 107. For example, the controller 300 may evaluate noise errors at particular residual noise sensor locations based on the input 308 and the predicted noise signal 312, e.g., as described below.

In some demonstrative aspects, estimator 310 may be configured to determine an AAC parameter setting based on AAC information 329, and determine the sound control mode of sound control signal 312, e.g., by applying the AAC parameter setting to noise input 302 and/or residual noise input 316.

In some demonstrative aspects, estimator 310 may be configured to adapt the AAC parameter settings, e.g., based on the changes in AAC information 329.

In some demonstrative aspects, estimator 310 may be configured to determine a prediction filter setting of at least one prediction filter, e.g., based on AAC information 329, and determine a sound control mode of sound control signal 312, e.g., based on the prediction filter setting.

In some demonstrative aspects, estimator 310 may be configured to determine a prediction filter setting, including a prediction filter weight vector applied by the prediction filter, for determining the sound control mode based on noise input 302 and/or residual noise input 316.

In some demonstrative aspects, estimator 310 may be configured to determine a prediction filter setting including an update rate parameter for updating the prediction filter weight vector.

In some demonstrative aspects, estimator 310 may be configured to determine a path transfer function setting of one or more path transfer functions, e.g., based on AAC information 329, and to apply the path transfer function setting to determine a sound control mode of sound control signal 312, e.g., based on noise input 302 and/or residual noise input 316.

In some demonstrative aspects, estimator 310 may include a multiple-input multiple-output (MIMO) prediction unit configured to generate, for example, a plurality of sound control modes corresponding to the nth sample (e.g., including M control modes, denoted y ₁ (n)……y _M (n)) to drive a plurality of M corresponding acoustic transducers, for example, based on input 308.

Referring now to fig. 4, a diagram schematically illustrates a MIMO prediction unit 400 in accordance with some demonstrative aspects. In some demonstrative aspects, estimator 310 (fig. 3) may include a MIMO prediction unit 400 and/or perform one or more functions and/or operations of MIMO prediction unit 400.

As shown in fig. 4, prediction unit 400 may be configured to receive AAC information 429, including, for example, AAC configuration information 129 (fig. 1).

As shown in fig. 4, prediction unit 400 may be configured to receive a vector comprisingFor example, as an output of extractor 306 (fig. 3)) and drives speaker array 402, which includes M acoustic transducers, for example acoustic transducer 108 (fig. 2).

For example, the prediction unit 400 may generate a sound control pattern including M sound control patterns y ₁ (n)…y _M (n) to drive a plurality M of corresponding acoustic transducers, such as acoustic transducer 108 (fig. 2), for example, based on input 412, a plurality of residual noise inputs 404 (e.g., including a plurality of residual noise inputs 316 (fig. 3)) and/or AAC information 429.

In some demonstrative aspects, prediction unit 400 may be configured to determine an AAC parameter setting based on AAC information 429, and determine controller output 401, e.g., by applying the AAC parameter setting to noise input 412 and/or residual noise input 404, e.g., as described below.

In some demonstrative aspects, prediction unit 400 may be configured to adapt the AAC parameter settings, e.g., based on the changes in AAC information 429, e.g., as described below.

In some demonstrative aspects, prediction unit 400 may be configured to determine a prediction filter setting of at least one prediction filter, e.g., based on AAC information 449, and determine controller output 401, e.g., based on the prediction filter setting, e.g., as described below.

In some demonstrative aspects, prediction unit 400 may be configured to determine a prediction filter setting, including a prediction filter weight vector applied by the prediction filter, for determining a sound control mode based on noise input 412 and/or residual noise input 404, e.g., as described below.

In some demonstrative aspects, prediction unit 400 may be configured to determine a prediction filter setting including an update rate parameter for updating the prediction filter weight vector, e.g., as described below.

In some demonstrative aspects, prediction unit 400 may be configured to determine a path transfer function setting of the one or more path transfer functions, e.g., based on AAC information 429, and to apply the path transfer function setting to determine controller output 401, e.g., based on noise input 412 and/or residual noise input 404, e.g., as described below.

In some demonstrative aspects, interference (crosstalk) may occur between two or more of the M acoustic transducers of array 402, e.g., when two or more (e.g., all) of the M acoustic transducers generate control noise patterns, e.g., simultaneously.

In some demonstrative aspects, prediction unit 400 may generate an output 401 configured to control array 402 to generate a substantially optimal sound control pattern, e.g., while optimizing the input signal to each speaker in array 402. For example, the prediction unit 400 may control the multi-channel speakers of the array 402, e.g., while eliminating interfaces between the speakers.

In one example, prediction unit 400 may utilize a linear function with memory. For example, the prediction unit 400 may determine a sound control mode (denoted as y) corresponding to the mth speaker of the array 402 with respect to the nth sample of the main mode _m [n]) For example, the following are possible:

wherein S is _k [n]Represents, for example, the kth disjoint reference acoustic pattern received from extractor 306 (FIG. 3), and w _km [i]Representing predicted filter coefficients configured to drive an mth speaker based on a kth disjoint reference acoustic pattern, e.g., as described below.

In another example, prediction unit 400 may implement any other suitable prediction algorithm (e.g., linear or non-linear, with or without memory, etc.) to determine output 401.

In some demonstrative aspects, prediction unit 400 may, for example, be based on a plurality of residual noise inputs 404e ₁ [n]，e ₂ [n]，...，e _L [n](e.g., including a plurality of residual noise inputs 316 (fig. 3)) to optimize the prediction filter coefficients w _km [i]. Example(s)For example, the prediction unit 400 may optimize the prediction filter coefficients w _km [j]For example, to achieve maximum destructive interference at residual error sensing location 107 (fig. 2). For example, location 107 may include L locations and input 404 may include L residual noise components, denoted as e ₁ [n]，e ₂ [n]，...，e _L [n]。

In some demonstrative aspects, prediction unit 400 may optimize prediction filter coefficients w, e.g., based on a Minimum Mean Square Error (MMSE) criterion, or any other suitable criterion _km [i]For example, some or all of one or more of the following. For example, for optimizing the prediction filter coefficients w _km [i]The cost function (denoted J) of one or more (e.g., some or all) of (e.g., as) may be defined, for example, as a residual noise component e at, for example, location 107 (fig. 2) ₁ [n]，e ₂ [n]，...，e _L [n]For example as follows:

in some illustrative aspects, the residual noise pattern at position 1 (denoted as e ₁ [n]) This can be expressed, for example, as follows:

therein stf _lm [j]Representing a path transfer function with J coefficients from the mth speaker of the array 402 at position 1; and W is _km [n]Representing adaptive weight vectors of the prediction filter, wherein the I coefficients represent the kth reference acoustic pattern s _k [n]Relationship with the control signal of the mth speaker.

In some demonstrative aspects, prediction unit 400 may optimize adaptive weight vector w, e.g., based on AAC information 429 _km [n]For example, to achieve a sweet spot, e.g., maximum noise reduction. For example, when at each stepUpdating the weight vector w in the negative direction of the gradient of the cost function J _km [n]In this case, the prediction unit 400 may implement a gradient-based adaptive method, for example, as follows:

referring back to fig. 1, in some demonstrative aspects, controller 193 may be configured to update one or more parameters of equations 3, 4 and/or 5, e.g., based on AAC information 129, e.g., as described below.

In other aspects, the controller 193 (fig. 1) may be configured to update one or more other additional or alternative parameters of the prediction unit 400 (fig. 4) and/or the estimator 310 (fig. 3).

In some demonstrative aspects, controller 193 may be configured to update one or more parameters of equations 3, 4 and/or 5, e.g., based on AAC information 129, e.g., to generate controller output 401 (fig. 4), which may be configured based on AAC information 129.

In some demonstrative aspects, controller 193 may update one or more path transfer functions stf of equations 4 and/or 5, e.g., based on AAC information 129 _lm [j]。

In some demonstrative aspects, controller 193 may update one or more update rate parameters μ in equation 5, e.g., based on AAC information 129 _km 。

In one example, the controller 193 may be configured to use one or more update rate parameters μ _km (e.g. update rate parameter μ _km Some or all of which). A set of update rate parameters μmay be determined or preconfigured based on AAC information 129 _km For example, as described above.

Referring to fig. 5, an implementation of a controller 500 in an AAC system is schematically shown according to some demonstrative aspects. For example, controller 193 (fig. 1), controller 300 (fig. 3), and/or prediction unit 400 (fig. 4) may include one or more elements of controller 500 (fig. 5) and/or may perform one or more operations and/or functions of controller 500.

In some demonstrative aspects, controller 500 may be configured to receive an input 512 including a noise input from a plurality of microphones (RMICs) and generate an output signal 501 to drive a speaker array 502 including M acoustic transducers (e.g., three speakers or any other number of speakers). For example, input 512 may include input 104 (fig. 1), input 304 (fig. 3), and/or input 412 (fig. 4).

In some demonstrative aspects, controller 500 may be configured to configure, determine, update, and/or set one or more parameters of a prediction filter (denoted as PF), e.g., based on AAC information 129, e.g., as described above.

Referring back to fig. 1, in some illustrative aspects, AAC controller 193 can be configured according to a hybrid scheme, for example, as described below.

In some demonstrative aspects, the hybrid scheme may be configured to apply at least one noise prediction filter and at least one residual noise prediction filter, e.g., as described below.

In some demonstrative aspects, the noise prediction filter may be configured to be applied to a prediction filter input, which may be based on noise input 104, e.g., as described below.

In some demonstrative aspects, the residual noise prediction filter may be configured to be applied to a prediction filter input, which may be based on residual noise input 106, e.g., as described below.

In some demonstrative aspects, the mixing scheme may include an adaptive mixing scheme, e.g., as described below.

In some demonstrative aspects, the adaptive mixing scheme may be configured to adaptively update at least one of the noise prediction filter and/or the residual noise prediction filter, e.g., as described below.

For example, the controller 193 may be configured to update one or more prediction parameters of at least one of the noise prediction filter and/or the residual noise prediction filter, e.g., based on the AAC information 129.

In some demonstrative aspects, controller 193 may be configured to update one or more prediction parameters of at least one of the noise prediction filter and/or the residual noise prediction filter, e.g., by updating weights, coefficients, functions and/or any other additional or alternative parameters to be used in determining sound control mode 109, e.g., as described below.

Referring now to fig. 6, a diagram schematically illustrates a controller 600 in accordance with some demonstrative aspects. For example, the controller 193 (fig. 1) may include one or more elements of the controller 600 and/or may perform one or more operations and/or functions of the controller 600.

In some demonstrative aspects, controller 600 may be configured according to a hybrid scheme.

In some demonstrative aspects, controller 600 may include a prediction filter 610 and a prediction filter 620, e.g., as described below, as shown in fig. 6.

In some demonstrative aspects, prediction filter 610 and/or prediction filter 620 may be implemented by a Finite Impulse Response (FIR) filter.

In other aspects, prediction filter 610 and/or prediction filter 620 may be implemented by an Infinite Impulse Response (IIR) filter. In one example, prediction filter 610 and/or prediction filter 620 may be implemented by a series of multi-stage series second-order digital IIR filters.

In other aspects, any other prediction filter may be used.

In some demonstrative aspects, prediction filter 610 may include a noise prediction filter to be applied to a prediction filter input 612, which may be based on, for example, a noise input 616 from one or more noise sensors 618 ("reference microphones"), as shown in fig. 6. For example, the prediction filter input 612 may be based on the noise input 104 (fig. 1).

In some demonstrative aspects, prediction filter 620 may include a residual noise prediction filter to be applied to a prediction filter input 622, which may be based on, for example, a residual noise input 626 from one or more residual noise sensors 628 ("error microphones"). For example, the prediction filter input 622 may be based on the residual noise input 106 (fig. 1).

In some demonstrative aspects, input 626 may include at least one virtual microphone input corresponding to residual noise ("noise error") sensed by at least one virtual error sensor at the virtual sensing location, e.g., based on the monitoring input sensed at monitoring location 103 (fig. 2). For example, the controller 600 may evaluate noise errors at the virtual sensing locations based on the input 626 and the predicted noise signal 629.

In some demonstrative aspects, controller 600 may generate sound control signal 629 based on the output of prediction unit 610 and the output of prediction unit 620, and may output sound control signal 629 to acoustic transducer 608, as shown in fig. 6.

In some demonstrative aspects, controller 600 may generate sound control signal 629 configured to control, reshape, reduce, and/or cancel noise energy and/or amplitude of one or more sound modes within the sound control zone, while noise energy and/or amplitude of one or more other sound modes may not be affected within the sound control zone, e.g., as described below.

In some demonstrative aspects, controller 600 may include an extractor 614 to extract a plurality of disjoint reference acoustic patterns from input 616, e.g., as shown in fig. 6. According to these aspects, the prediction filter input 612 may include a plurality of disjoint reference acoustic patterns. In other aspects, the extractor 614 may not be included and the prediction filter input 612 may be generated directly or indirectly based on the input 616, e.g., according to any other algorithm and/or calculation.

In some demonstrative aspects, controller 600 may include an extractor 624 to extract a plurality of disjoint residual noise acoustic modes from input 626, e.g., as shown in fig. 6. According to these aspects, the prediction filter input 622 may include a plurality of disjoint residual noise acoustic modes. In other aspects, the extractor 624 may not be included and the prediction filter input 622 may be generated directly or indirectly based on the input 626, e.g., according to any other algorithm and/or calculation.

In some demonstrative aspects, controller 600 may include an echo processing component ("echo canceller") 615 configured to partially or fully reduce, remove, and/or cancel a portion of the signal generated by speaker 608 from the output signal of reference microphone 618, as shown in fig. 6.

In some demonstrative aspects, controller 600 may include an echo processing component ("echo canceller") 625 configured to partially or fully reduce, remove, and/or cancel a portion of the signal generated by speaker 608 from the output signal of residual noise microphone 628, as shown in fig. 6.

In some demonstrative aspects, controller 600 may be configured according to an adaptive mixing scheme, e.g., as described below.

In some demonstrative aspects, controller 600 may be configured to update one or more parameters of prediction filter 610 and/or prediction filter 620, e.g., based on residual noise input 626, e.g., as shown in fig. 6.

In some demonstrative aspects, controller 600 may identify AAC configuration 630, e.g., based on AAC information 632, as shown in fig. 6. For example, AAC information 632 may include AAC information 129 (fig. 1).

In some demonstrative aspects, controller 600 may be configured to determine an AAC parameter setting based on AAC information 632, and determine sound control signal 629, e.g., by applying the AAC parameter setting to noise input 616 and/or residual noise input 626, e.g., as described below.

In some demonstrative aspects, controller 600 may be configured to adapt the AAC parameter settings, e.g., based on the changes in AAC information 632, e.g., as described below.

In some demonstrative aspects, controller 600 may be configured to determine a prediction filter setting of prediction unit 610 and/or prediction unit 620, e.g., based on AAC information 449, and determine sound control signal 629, e.g., based on the prediction filter setting, e.g., as described below.

In some demonstrative aspects, controller 600 may be configured to determine a prediction filter setting including a prediction filter weight vector applied by the prediction filter for determining sound control signal 629 based on noise input 616 and/or residual noise input 626, e.g., as described below.

In some demonstrative aspects, controller 600 may be configured to determine a prediction filter setting including an update rate parameter for updating the prediction filter weight vector, e.g., as described below.

In some demonstrative aspects, controller 600 may be configured to determine a path transfer function setting of one or more path transfer functions, e.g., based on AAC information 632, and apply the path transfer function setting to determine sound control signal 629, e.g., based on noise input 616 and/or residual noise input 626, e.g., as described below.

In some demonstrative aspects, controller 600 may be configured to update one or more parameters of prediction filter 610, e.g., based on AAC information 632.

In some demonstrative aspects, controller 600 may be configured to update one or more parameters of prediction filter 620, e.g., based on AAC information 632.

In some demonstrative aspects, controller 600 may apply any suitable linear and/or nonlinear function to prediction filter input 612 and/or prediction filter input 622. For example, prediction filter 620 and/or prediction filter 620 may be configured according to a linear estimation function or a non-linear estimation function (e.g., radial basis function).

In some demonstrative aspects, controller 600 may be configured to determine, update, and/or adjust, e.g., in real-time, a setting of at least one acoustic mode extractor parameter of extractor 614 and/or extractor 624, e.g., based on AAC information 632. For example, the extractor 614 may be configured to determine the plurality of disjoint reference acoustic patterns of the input 612, e.g., based on acoustic pattern extractor parameter settings, which are based on AAC information 632. For example, the extractor 624 may be configured to determine a plurality of disjoint residual noise acoustic modes of the input 622, e.g., based on acoustic mode extractor parameter settings, which are based on AAC information 632.

Referring to fig. 7, a vehicle 700 including an AAC system is schematically shown in accordance with some demonstrative aspects.

In one example, vehicle 740 may include one or more elements and/or components of AAC system 100 (fig. 1), for example, for controlling sound within one or more sound control areas within vehicle 700.

In some demonstrative aspects, vehicle 700 may include a plurality of speakers 708, a plurality of residual noise sensors ("monitoring microphones") 712, and a plurality of reference sensors ("environmental microphones") 710, as shown in fig. 7.

In some demonstrative aspects, vehicle 700 may include an AAC controller 102 (fig. 1) configured to control a plurality of speakers 708 to provide a first sound control area 730 for an operator of vehicle 700, e.g., in a headrest position of the operator's seat.

In some demonstrative aspects, AAC controller 102 (fig. 1) may be configured to control a plurality of speakers 708, e.g., to provide a second sound control zone 726 for the occupant, e.g., in a front seat near the driver seat, e.g., in a headrest position of the occupant seat.

In some demonstrative aspects, plurality of monitoring microphones 712 may be located within first and/or second control areas 730 and 726, as shown in fig. 7.

In some demonstrative aspects, as shown in fig. 7, a plurality of ambient microphones 710 may be located in an environment outside of sound control areas 730 and 726.

In other aspects, the vehicle 700 may include any other number of the plurality of speakers 708, the plurality of monitoring microphones 712, and/or the plurality of environmental microphones 710, any other arrangement, positioning, and/or location of the plurality of speakers 708, the plurality of monitoring microphones 712, and/or the plurality of environmental microphones 710, and/or any other additional or alternative components.

Referring to fig. 8, the AAC method is shown. For example, one or more of the operations of fig. 8 may be performed by one or more components of AAC system 100 (fig. 1), controller 102 (fig. 1), controller 193 (fig. 1), controller 300 (fig. 3), prediction unit 400 (fig. 4), controller 500 (fig. 5), and/or controller 600 (fig. 6).

In some demonstrative aspects, the method may include processing input information including, for example, AAC configuration information corresponding to an AAC configuration in the sound control area, a plurality of noise inputs representing acoustic noise at a plurality of noise sensing locations, and a plurality of residual noise inputs representing acoustic residual noise at a plurality of residual noise sensing locations within the sound control area, as indicated by block 802. For example, the controller 193 (fig. 1) may be configured to process the input information 195 (fig. 1) including the noise input 104 (fig. 1), the residual noise input 106 (fig. 1), and/or the AAC information 129 (fig. 1), e.g., as described above.

In some demonstrative aspects, the method may include determining a sound control mode to control sound within the sound control zone, e.g., based on the AAC configuration information, the plurality of noise inputs, and the plurality of residual noise inputs, as indicated by block 804. For example, the controller 193 (fig. 1) may be configured to determine the sound control mode based on the input information 195 (fig. 1) including the noise input 104 (fig. 1), the residual noise input 106 (fig. 1), and/or the AAC information 129 (fig. 1), e.g., as described above.

In some demonstrative aspects, the method may include outputting a sound control pattern to a plurality of acoustic transducers, as indicated by block 806. For example, the controller 193 (fig. 1) may be configured to output the sound control signal 109 (fig. 1) to control the acoustic transducer 108 (fig. 1) to generate the sound control pattern, e.g., as described above.

Referring to fig. 9, an article of manufacture 900 is schematically illustrated in accordance with some demonstrative aspects. The article 900 may include one or more tangible computer-readable ("machine-readable") non-transitory storage media 902, which may include instructions, e.g., implemented by logic 904, e.g., computer-executable instructions, which when executed by at least one processor (e.g., a computer processor) are operable to enable the at least one processor to perform one or more operations and/or functions of the AAC system 100 (fig. 1), the controller 102 (fig. 1), the controller 193 (fig. 1), the controller 300 (fig. 3), the prediction unit 400, the controller 500 (fig. 5), and/or the controller 600 (fig. 6); implementing one or more operations and/or functions at AAC system 100 (fig. 1), controller 102 (fig. 1), controller 193 (fig. 1), controller 300 (fig. 3), prediction unit 400 (fig. 4), controller 500 (fig. 5), and/or controller 600 (fig. 6); and/or performing, triggering and/or implementing one or more of the operations and/or functions described above with reference to fig. 1, 2, 3, 4, 5, 6, 7 and/or 8 and/or one or more of the operations described herein. The phrases "non-transitory machine-readable medium" and "computer-readable non-transitory storage medium" are intended to include all computer-readable media with the sole exception of transitory propagating signals.

In some demonstrative aspects, article 900 and/or storage medium 902 may include one or more types of computer-readable storage media capable of storing data, including volatile memory, non-volatile memory, removable or non-removable memory, erasable or non-erasable memory, writeable or non-writeable memory, and so forth. For example, the storage medium 902 may include RAM, DRAM, double data rate DRAM (DDR-DRAM), SDRAM, static RAM (SRAM), ROM, programmable ROM (PROM), erasable Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), flash memory (e.g., NOR or NAND flash memory), content Addressable Memory (CAM), polymer memory, phase change memory, ferroelectric memory, silicon nitride oxide silicon (SONOS) memory, disks, hard disk drives, optical disks, and the like. A computer-readable storage medium may include any suitable medium for downloading or transmitting a computer program from a remote computer over a communication link (e.g., a modem, radio or network connection) to a requesting computer carried by a data signal embodied in a carrier wave or other propagation medium.

In some demonstrative aspects, logic 904 may include instructions, data, and/or code, which, if executed by a machine, may cause the machine to perform a method, process, and/or operation as described herein. The machine may include, for example, any suitable processing platform, computing device, processing device, computing system, processing system, computer, processor, or the like, and may be implemented using any suitable combination of hardware, software, firmware, or the like.

In some demonstrative aspects, logic 904 may include, or be implemented as, software, a software module, an application, a program, a subroutine, instructions, an instruction set, computing code, words, values, symbols, and the like. The instructions may include any suitable type of code, such as source code, compiled code, interpreted code, executable code, static code, dynamic code, and the like. The instructions may be implemented according to a predefined computer language, manner or syntax, for instructing a processor to perform a certain function.

Example

The following examples relate to other aspects.

Example 1 includes an apparatus comprising: an input for receiving input information, the input information comprising Active Acoustic Control (AAC) configuration information corresponding to an AAC configuration in a sound control area, a plurality of noise inputs representing acoustic noise at a plurality of noise sensing locations, and a plurality of residual noise inputs representing acoustic residual noise at a plurality of residual noise sensing locations within the sound control area; a controller comprising logic and circuitry configured to determine a sound control mode to control sound within the sound control zone, the controller configured to determine the sound control mode based on AAC configuration information, a plurality of noise inputs, and a plurality of residual noise inputs; and an output that outputs the sound control pattern to the plurality of acoustic transducers.

Example 2 includes the subject matter of example 1, and optionally, wherein the controller is configured to determine AAC parameter settings based on the AAC configuration information, and to determine the sound control mode by applying the AAC parameter settings to at least one of the plurality of noise inputs or the plurality of residual noise inputs.

Example 3 includes the subject matter of example 2, and optionally, wherein the controller is configured to adapt the AAC parameter settings based on a change in the AAC configuration information.

Example 4 includes the subject matter of any one of examples 1-3, and optionally, wherein the controller is configured to determine a prediction filter setting of at least one prediction filter based on the AAC configuration information, and determine the sound control mode based on the prediction filter setting.

Example 5 includes the subject matter of example 4, and optionally, wherein the prediction filter settings include a prediction filter weight vector applied by the prediction filter to determine the sound control mode based on at least one of the plurality of noise inputs or the plurality of residual noise inputs.

Example 6 includes the subject matter of example 5, and optionally, wherein the prediction filter settings include update rate parameters for updating the prediction filter weight vector.

Example 7 includes the subject matter of any one of examples 1-6, and optionally, wherein the controller is configured to determine a path transfer function setting of one or more path transfer functions based on the AAC configuration information, and to determine the sound control mode based on at least one of the plurality of noise inputs or the plurality of residual noise inputs applying the path transfer function setting.

Example 8 includes the subject matter of example 7, and optionally, wherein the path transfer function settings include settings of a path transfer function between an acoustic transducer and a noise sensing location.

Example 9 includes the subject matter of example 7 or 8, and optionally, wherein the path transfer function settings include settings of a path transfer function between an acoustic transducer and a residual noise sensing location.

Example 10 includes the subject matter of any of examples 7-9, and optionally, wherein the path transfer function settings include path transfer function settings between an acoustic transducer and a monitoring location, wherein at least one of the one or more residual noise inputs is based on a monitoring input sensed at the monitoring location.

Example 11 includes the subject matter of any one of examples 1-10, and optionally, wherein the controller is configured to determine a noise extraction function based on the AAC configuration information, determine one or more extracted acoustic modes by applying the noise extraction function to at least one of the plurality of noise inputs or the plurality of residual noise inputs, and determine the sound control mode based on the one or more extracted acoustic modes.

Example 12 includes the subject matter of any one of examples 1-15, and optionally, wherein the controller is configured to determine a sound control profile based on the AAC configuration information, and to determine the sound control mode based on the sound control profile.

Example 13 includes the subject matter of example 12, and optionally, wherein the sound control profile includes settings of one or more sound control parameters, the controller configured to determine the sound control mode based on the settings of the one or more sound control parameters.

Example 14 includes the subject matter of any one of examples 1-13, and optionally comprising a memory to store a plurality of sound control profiles respectively corresponding to a plurality of sound control configurations, wherein the controller is configured to select a selected sound control profile from the plurality of sound control profiles based on the AAC configuration information, and determine the sound control mode based on the selected sound control profile.

Example 15 includes the subject matter of example 14, and optionally, wherein the plurality of sound control profiles comprises a user-based profile corresponding to a user, the user-based profile comprising settings of one or more sound control parameters based on user preferences, wherein the AAC profile comprises user identity information corresponding to an identity of the user.

Example 16 includes the subject matter of any one of examples 1-15, and optionally, wherein the controller is configured to selectively mute the sound control mode, adjust a level of the sound control mode, or freeze adaptation of the sound control mode based on the AAC configuration information.

Example 17 includes the subject matter of any one of examples 1-16, and optionally, wherein the AAC configuration information includes real-time information corresponding to a real-time acoustic configuration of the sound control area.

Example 18 includes the subject matter of any one of examples 1-17, and optionally, wherein the AAC profile information includes vehicle speed information corresponding to a speed of a vehicle including the sound control area.

Example 19 includes the subject matter of any one of examples 1-18, and optionally, wherein the AAC configuration information includes engine information corresponding to an engine of a vehicle including the sound control area.

Example 20 includes the subject matter of any one of examples 1-19, and optionally, wherein the AAC configuration information includes brake system information corresponding to a brake system of a vehicle including the sound control area.

Example 21 includes the subject matter of any one of examples 1-20, and optionally, wherein the AAC profile information includes road detection information from a road detection system of a vehicle including the sound control area.

Example 22 includes the subject matter of any one of examples 1-21, and optionally, wherein the AAC profile information includes steering information corresponding to a steering system of a vehicle including the sound control area.

Example 23 includes the subject matter of any one of examples 1-22, and optionally, wherein the AAC configuration information includes tire information corresponding to one or more tires of a vehicle including the sound control area.

Example 24 includes the subject matter of any one of examples 1-23, and optionally, wherein the AAC configuration information includes seat position information corresponding to one or more seats of a vehicle including the sound control area.

Example 25 includes the subject matter of any one of examples 1-24, and optionally, wherein the AAC profile information includes passenger information corresponding to one or more passengers of a vehicle including the sound control area.

Example 26 includes the subject matter of any one of examples 1-25, and optionally, wherein the AAC configuration information includes open state information corresponding to an open state of a vehicle including the sound control area.

Example 27 includes the subject matter of any one of examples 1-26, and optionally, wherein the AAC configuration information includes audio system information corresponding to an audio system of a vehicle including the sound control area.

Example 28 includes the subject matter of any one of examples 1-27, and optionally, wherein the AAC configuration information includes climate information corresponding to at least one of a climate within the sound control area or a climate outside the sound control area.

Example 29 includes the subject matter of any one of examples 1-28, and optionally, wherein the AAC configuration information includes user location information corresponding to a location of at least one of a head or an ear of a user in the sound control area.

Example 30 includes the subject matter of any one of examples 1-29, and optionally, wherein the AAC configuration information includes user identity information corresponding to an identity of a user to control user preferences with respect to the sound control area.

Example 31 includes the subject matter of any one of examples 1-30, and optionally, wherein the AAC configuration information includes vehicle system configuration information corresponding to a configuration of one or more vehicle systems of the vehicle including the sound control area.

Example 32 includes the subject matter of any one of examples 1-31, and optionally, wherein the AAC configuration information includes vehicle sensor information from one or more vehicle sensors of a vehicle including the sound control area.

Example 33 includes the subject matter of any one of examples 1-32, and optionally, wherein the input is configured to receive the AAC configuration information via a system bus of a vehicle including the sound control area.

Example 34 includes the subject matter of example 33, and optionally, wherein the input is configured to receive the AAC configuration information via at least one of: CAN bus information received via a Controller Area Network (CAN) bus of the vehicle, A2B bus information received via an a-to-B (A2B) bus of the vehicle, MOST bus information received via a Multimedia Oriented System Transmission (MOST) bus of the vehicle, wireless communication information received via a wireless communication link, or ethernet bus information received via an ethernet bus of the vehicle.

Example 35 includes an article comprising one or more tangible computer-readable non-transitory storage media comprising instructions that, when executed by at least one processor, are operable to cause the at least one processor to enable a sound control system to control sound within a sound control zone, the instructions, when executed, cause: the sound control system processes input information including system bus information received via a system bus of the vehicle, active Acoustic Control (AAC) configuration information corresponding to an AAC configuration in the sound control area, a plurality of noise inputs representing acoustic noise at a plurality of noise sensing locations, and a plurality of residual noise inputs representing acoustic residual noise at a plurality of residual noise sensing locations within the sound control area; determining a sound control mode to control sound within the sound control zone based on the AAC configuration information, the plurality of noise inputs, and the plurality of residual noise inputs; and outputting the sound control pattern to a plurality of acoustic transducers.

Example 36 includes the subject matter of example 35, and optionally, wherein the processor is configured to cause the sound control system to perform one or more operations of any one of examples 1-34.

Example 37 includes a vehicle, comprising: a plurality of seats; a sound control system configured to control sound within a sound control zone relative to the seat, the sound control system comprising a plurality of acoustic transducers; a plurality of noise sensors for generating a plurality of noise inputs representative of acoustic noise at a plurality of noise sensing locations; a plurality of residual noise sensors for generating a plurality of residual noise inputs representative of acoustic residual noise at a plurality of residual noise sensing locations within the sound control zone; and a controller comprising logic and circuitry configured to determine a sound control mode to control sound within the sound control zone and output the sound control mode to the plurality of acoustic transducers, the controller configured to determine the sound control mode based on the plurality of noise inputs, the plurality of residual noise inputs, and Active Acoustic Control (AAC) configuration information corresponding to AAC configurations in the sound control zone.

Example 38 includes the subject matter of example 37, and optionally, the apparatus of any of examples 1-34.

Example 39 includes a sound control system comprising the apparatus of any one of examples 1-34.

Example 40 includes an apparatus comprising means for performing any of the operations described in examples 1-34.

Example 41 includes an apparatus comprising: a memory interface; and processing circuitry configured to: any of the operations described in examples 1 to 26 are performed.

Example 42 includes a method comprising any of the operations described in examples 1-34.

The functions, operations, components and/or features described herein with reference to one or more aspects may be combined with or used in combination with one or more other functions, operations, components and/or features described herein with reference to one or more other aspects, or vice versa.

Although certain features have been illustrated and described herein, many modifications, substitutions, changes, and equivalents will now occur to those skilled in the art. It is, therefore, to be understood that the appended claims are not intended to cover all such modifications and changes as fall within the true spirit of the disclosure.

Claims

1. An apparatus, comprising:

an input for receiving input information, the input information comprising:

active Acoustic Control (AAC) configuration information, which corresponds to an AAC configuration in a sound control area,

A plurality of noise inputs representing acoustic noise at a plurality of noise sensing locations, an

A plurality of residual noise inputs representing acoustic residual noise at a plurality of residual noise sensing locations within the sound control zone;

a controller comprising logic and circuitry configured to determine a sound control mode to control sound within the sound control zone, the controller configured to determine the sound control mode based on the AAC configuration information, the plurality of noise inputs, and the plurality of residual noise inputs; and

and an output that outputs the sound control pattern to a plurality of acoustic transducers.

2. The device of claim 1, wherein the controller is configured to determine AAC parameter settings based on the AAC configuration information and to determine the sound control mode by applying the AAC parameter settings to at least one of the plurality of noise inputs or the plurality of residual noise inputs.

3. The device of claim 2, wherein the controller is configured to adapt the AAC parameter settings based on a change in the AAC configuration information.

4. The apparatus of claim 1, wherein the controller is configured to determine a prediction filter setting of at least one prediction filter based on the AAC configuration information, and to determine the sound control mode based on the prediction filter setting.

5. The apparatus of claim 4, wherein the prediction filter settings comprise a prediction filter weight vector applied by the prediction filter for determining the sound control mode based on at least one of the plurality of noise inputs or the plurality of residual noise inputs.

6. The apparatus of claim 5, wherein the prediction filter settings comprise update rate parameters for updating the prediction filter weight vector.

7. The apparatus of claim 1, wherein the controller is configured to determine path transfer function settings for one or more path transfer functions based on the AAC configuration information, and to apply the path transfer function settings based on at least one of the plurality of noise inputs or the plurality of residual noise inputs for determining the sound control mode.

8. The apparatus of claim 7, wherein the path transfer function settings comprise settings of at least one of a path transfer function between an acoustic transducer and a noise sensing location, a path transfer function between an acoustic transducer and a residual noise sensing location, or a path transfer function between an acoustic transducer and a monitoring location, wherein at least one of the one or more residual noise inputs is based on a monitoring input sensed at the monitoring location.

9. The device of claim 1, wherein the controller is configured to determine a noise extraction function based on the AAC configuration information, determine one or more extracted acoustic modes by applying the noise extraction function to at least one of the plurality of noise inputs or the plurality of residual noise inputs, and determine the sound control mode based on the one or more extracted acoustic modes.

10. The device of claim 1, wherein the controller is configured to determine a sound control profile based on the AAC configuration information and to determine the sound control mode based on the sound control profile.

11. The device of claim 10, wherein the sound control profile includes settings of one or more sound control parameters, the controller configured to determine the sound control mode based on the settings of the one or more sound control parameters.

12. The apparatus of claim 1, comprising a memory to store a plurality of sound control profiles respectively corresponding to a plurality of sound control configurations, wherein the controller is configured to select a selected sound control profile from the plurality of sound control profiles based on the AAC configuration information, and to determine the sound control mode based on the selected sound control profile.

13. The apparatus of claim 12, wherein the plurality of sound control profiles comprises a user-based profile corresponding to a user, the user-based profile comprising settings of one or more sound control parameters based on user preferences, wherein the AAC profile comprises user identity information corresponding to an identity of the user.

14. The apparatus of claim 1, wherein the controller is configured to selectively mute the sound control mode, adjust a level of the sound control mode, or freeze adaptation of the sound control mode based on the AAC configuration information.

15. The apparatus of any one of claims 1 to 14, wherein the AAC profile information includes vehicle speed information corresponding to a speed of a vehicle including the sound control area.

16. The apparatus of any one of claims 1 to 14, wherein the AAC configuration information includes engine information corresponding to an engine of a vehicle including the sound control area.

17. The apparatus of any one of claims 1-14, wherein the AAC configuration information includes at least one of brake system information including information corresponding to a brake system of a vehicle including the sound control area, road detection information including information from a road detection system of the vehicle, steering information including information corresponding to a steering system of the vehicle, tire information including information corresponding to one or more tires of the vehicle, seat position information including information corresponding to one or more seats of the vehicle, or open state information including information corresponding to an open state of the vehicle.

18. The apparatus of any one of claims 1 to 14, wherein the AAC configuration information includes passenger information corresponding to one or more passengers of a vehicle including the sound control area.

19. The apparatus of any one of claims 1 to 14, wherein the AAC configuration information includes audio system information corresponding to an audio system of a vehicle including the sound control area.

20. The apparatus of any one of claims 1 to 14, wherein the AAC configuration information includes climate information corresponding to at least one of a climate within the sound control area or a climate outside the sound control area.

21. The device of any one of claims 1 to 14, wherein the AAC configuration information includes user position information corresponding to a position of at least one of a head or an ear of a user in the sound control area.

22. The device of any one of claims 1 to 14, wherein the AAC configuration information includes user identity information corresponding to an identity of a user to control user preferences with respect to the sound control area.

23. The apparatus of any one of claims 1 to 14, wherein the AAC configuration information includes vehicle system configuration information corresponding to a configuration of an operating mode of one or more vehicle systems of a vehicle including the sound control area.

24. The apparatus of any one of claims 1 to 14, wherein the AAC configuration information includes vehicle sensor information from one or more vehicle sensors of a vehicle including the sound control area.

25. The apparatus of any one of claims 1 to 14, wherein the input is configured to receive the AAC configuration information via a system bus of a vehicle including the sound control area.

26. The device of claim 25, wherein the input is configured to receive the AAC configuration information via at least one of: CAN bus information received via a Controller Area Network (CAN) bus of the vehicle, A2B bus information received via an a-to-B (A2B) bus of the vehicle, MOST bus information received via a Multimedia Oriented System Transmission (MOST) bus of the vehicle, wireless communication information received via a wireless communication link, or ethernet bus information received via an ethernet bus of the vehicle.

27. An article comprising one or more tangible computer-readable non-transitory storage media, the storage media comprising instructions that when executed by at least one processor are operable to enable the at least one processor to cause a sound control system to control sound within a sound control zone, the instructions when executed causing the sound control system to:

Processing input information, the input information comprising:

system bus information received via a system bus of the vehicle;

active Acoustic Control (AAC) configuration information, which corresponds to an AAC configuration in the sound control area,

determining a sound control mode based on the AAC configuration information, the plurality of noise inputs, and the plurality of residual noise inputs to control sound within the sound control area; and

the sound control pattern is output to a plurality of acoustic transducers.

28. The product of claim 27, wherein the instructions, when executed, cause the sound control system to determine AAC parameter settings based on the AAC configuration information and determine the sound control mode by applying the AAC parameter settings to at least one of the plurality of noise inputs or the plurality of residual noise inputs.

29. A vehicle, comprising:

a plurality of seats;

a sound control system configured to control sound within a sound control zone relative to a seat, the sound control system comprising:

A plurality of acoustic transducers;

a plurality of noise sensors for generating a plurality of noise inputs representing acoustic noise at a plurality of noise sensing locations;

a plurality of residual noise sensors for generating a plurality of residual noise inputs representing acoustic residual noise at a plurality of residual noise sensing locations within the sound control zone; and

a controller comprising logic and circuitry configured to determine a sound control mode to control sound within the sound control zone and output the sound control mode to a plurality of acoustic transducers, the controller configured to determine the sound control mode based on the plurality of noise inputs, the plurality of residual noise inputs, and Active Acoustic Control (AAC) configuration information corresponding to AAC configurations in the sound control zone.

30. The vehicle of claim 29, wherein the controller is configured to determine a prediction filter setting of at least one prediction filter based on the AAC configuration information, and to determine the sound control mode based on the prediction filter setting.