CN116709085A

CN116709085A - Noise reduction parameter adaptation method and device

Info

Publication number: CN116709085A
Application number: CN202210737291.7A
Authority: CN
Inventors: 恽毅; 郑占磊; 韩欣宇
Original assignee: Beijing Honor Device Co Ltd
Current assignee: Beijing Honor Device Co Ltd
Priority date: 2022-02-28
Filing date: 2022-06-27
Publication date: 2023-09-05

Abstract

The embodiment of the application provides a noise reduction parameter adaptation method and device, and relates to the technical field of terminals, wherein the method comprises the following steps: the method comprises the steps that a first electronic device obtains an environmental sound signal; the first electronic equipment determines the noise reduction amounts respectively corresponding to the environmental sound signals under the preset multiple groups of noise reduction parameters to obtain multiple noise reduction amounts; the plurality of groups of noise reduction parameters are noise reduction parameters respectively corresponding to the plurality of ear canal characteristics; the first electronic device determines a target noise reduction amount from the plurality of noise reduction amounts; and the first electronic equipment performs noise reduction processing by utilizing the target noise reduction parameters corresponding to the target noise reduction amount. In this way, the noise reduction parameters in the noise reduction earphone can be adapted to the auditory canal of the user, so that the noise reduction effect of the noise reduction earphone can be enhanced.

Description

Noise reduction parameter adaptation method and device

The present application claims priority from the chinese patent office, application number 202210191294.5, application name "noise reduction parameter adaptation method, apparatus and storage medium", filed 28 at 2022, 02, the entire contents of which are incorporated herein by reference.

Technical Field

The present application relates to the field of terminal technologies, and in particular, to a noise reduction parameter adaptation method and apparatus.

Background

With the development of electronic technology, the types and functions of headphones are also increasing. Types of headphones include in-ear headphones, ear-worn headphones, neck-worn headphones, semi-in-ear headphones, and the like. The earphone may be fitted with earplugs so that the earphone fits well with the human ear, thereby providing better physical isolation from ambient noise.

With the continuous development and maturation of active noise reduction (active noisecancellation, ANC) technology, the noise reduction earphone obtained by combining the active noise reduction technology with the earplug can bring better noise reduction effect.

However, the noise reduction earphone cannot enable each user to achieve the intended noise reduction effect.

Disclosure of Invention

The embodiment of the application provides a noise reduction parameter adaptation method and device, relates to the technical field of terminals, and aims to enable noise reduction parameters in noise reduction earphones to be adapted to auditory canals of users, thereby being beneficial to enhancing the noise reduction effect of the noise reduction earphones.

In a first aspect, an embodiment of the present application provides a noise reduction parameter adapting method, where the method includes: the method comprises the steps that a first electronic device obtains an environmental sound signal; the first electronic equipment determines the noise reduction amounts respectively corresponding to the environmental sound signals under the preset multiple groups of noise reduction parameters to obtain multiple noise reduction amounts; the plurality of groups of noise reduction parameters are noise reduction parameters respectively corresponding to the plurality of ear canal characteristics; the first electronic device determines a target noise reduction amount from the plurality of noise reduction amounts; and the first electronic equipment performs noise reduction processing by utilizing the target noise reduction parameters corresponding to the target noise reduction amount. In this way, the noise reduction parameters in the noise reduction earphone can be adapted to the auditory canal of the user, so that the noise reduction effect of the noise reduction earphone can be enhanced. The first electronic device may be a headset.

In one possible implementation, the first electronic device obtains an ambient sound signal, including: the first electronic equipment receives first indication information from the second electronic equipment; the first indication information is used for indicating that noise reduction parameter adaptation is carried out on the first electronic equipment and fitting degree detection is carried out on the earplug; in response to the first indication information, the first electronic device obtains an ambient sound signal. Like this, first electronic equipment can realize accomplishing the parameter adaptation of making an uproar that falls in the in-process that carries out the laminating degree and detect, improves the user demand to laminating degree detection function.

In one possible implementation, the method further includes: the first electronic equipment detects the fitting degree of the earplug; the first electronic device obtains an ambient sound signal, comprising: and under the condition that the first electronic equipment determines that the earplug fitting degree detection passes, the first electronic equipment acquires an environment sound signal. Thus, the first electronic device can adapt noise reduction parameters under the condition that the fit degree detection is passed.

In one possible implementation, the plurality of sets of noise reduction parameters include: the first set of noise reduction parameters and the second set of noise reduction parameters, the ambient sound signal comprising: the first and second ambient sound signals, the plurality of noise reduction amounts including a first noise reduction amount and a second noise reduction amount; the first electronic device determining noise reduction amounts respectively corresponding to the environmental sound signals under preset multiple groups of noise reduction parameters to obtain multiple noise reduction amounts, including: the first electronic equipment determines the noise reduction amount of the first environmental sound signal under a first group of noise reduction parameters to obtain a first noise reduction amount; the first electronic device determines a noise reduction amount of the second ambient sound signal under a second set of noise reduction parameters, resulting in a second noise reduction amount. It can be understood that, because the first electronic device is in a non-playing state in the process of performing noise reduction parameter adaptation, the first electronic device can have a pause of a few seconds when performing noise reduction parameter adaptation, so that the whole noise reduction process can be divided into a plurality of parts, and further the fit degree detection can be inserted in the middle of the plurality of noise reduction parts, so that poor use experience brought to a user by long-time pause in the noise reduction process is avoided.

In one possible implementation manner, after determining the noise reduction amount of the first environmental sound signal under the first set of noise reduction parameters, the first electronic device obtains the first noise reduction amount, the method further includes: the first electronic equipment detects the fitting degree of the earplug; the first electronic device determining a noise reduction amount of the second ambient sound signal under a second set of noise reduction parameters to obtain a second noise reduction amount, including: and under the condition that the first electronic equipment determines that the earplug fitting degree detection passes, the first electronic equipment determines the noise reduction amount of the second environmental sound signal under the second group of noise reduction parameters, and the second noise reduction amount is obtained. Like this, can avoid accomplishing the long-time pause of first electronic equipment when whole noise reduction parameter adaptation, after accomplishing the partial noise reduction parameter adaptation, carry out the laminating degree and detect to continue to make an uproar parameter adaptation of falling under the condition that laminating degree detects and pass through, and then improve the user and use the use experience of laminating degree detection function.

In one possible implementation, the first electronic device is an earphone, the earphone includes a feedforward microphone and a feedback microphone, and the first electronic device performs fit detection on the earplug, including: the first electronic equipment plays preset audio; the first electronic device utilizes a feedforward microphone to collect a third sound signal corresponding to preset audio frequency, and utilizes a feedback microphone to collect a fourth sound signal corresponding to the preset audio frequency; the first electronic device performs noise suppression processing on the fourth sound signal by using the third sound signal to obtain a target sound signal; the first electronic device obtains sound variation based on the third sound signal and the target sound signal; the first electronic equipment detects the fitting degree of the earplug based on the sound variation; wherein, earplug laminating degree detects and passes, includes: the sound variation is smaller than a preset threshold. In this way, the terminal device can improve the use experience of the user using the first electronic device based on the fit detection.

In one possible implementation, the headset further includes: the loudspeaker, the noise reduction amount that the first electronic equipment confirms the ambient sound signal corresponds respectively under the multiunit noise reduction parameter of predetermineeing, obtains a plurality of noise reduction amounts, includes: the first electronic device determines noise reduction amounts respectively corresponding to the environmental sound signals under preset multiple groups of noise reduction parameters based on the first transfer function, the second transfer function and/or the third transfer function, and a plurality of noise reduction amounts are obtained; wherein the first transfer function is used for indicating the transfer path of sound between the feedforward microphone and the feedforward microphone, the second transfer function is used for indicating the transfer path of sound between the loudspeaker and the feedforward microphone, and the third transfer function is used for indicating the transfer path of sound between the feedforward microphone and a periosteum reference point deep in the auditory canal. Therefore, the first electronic device can simulate the characteristics of the user auditory canal more truly according to the first transmission path, the second transmission path and/or the third transmission path, so that the noise reduction amount more relevant to the characteristics of the user auditory canal is obtained, and the accuracy of the noise reduction adaptation method is improved.

In one possible implementation, any set of noise reduction parameters includes: noise reduction parameters for reducing noise in the sound signals collected in the feedforward microphone and/or noise reduction parameters for reducing noise in the sound signals collected in the feedforward microphone.

In one possible implementation manner, after the first electronic device performs the noise reduction processing by using the target noise reduction parameter corresponding to the target noise reduction amount, the method further includes: the first electronic device sends second indication information to the second electronic device; the second indication information is used for indicating the second electronic equipment to display the indication information; the prompt information is used for prompting the first electronic equipment to complete noise reduction parameter adaptation. Therefore, the second electronic equipment can display prompt information when the noise reduction parameter adaptation is completed, and the use experience of a user in using the laminating degree detection function is enhanced.

In one possible implementation, the target noise reduction amount is a noise reduction amount satisfying a preset bandwidth range, a preset low frequency bounce range, and/or a preset high frequency bounce range among the plurality of noise reduction amounts. Therefore, the first electronic equipment can screen the noise reduction parameters corresponding to the noise reduction amount with the best noise reduction effect from the plurality of noise reduction parameters.

In one possible implementation, the sound intensity of the ambient sound signal is greater than a first threshold value and the sound intensity of the ambient sound signal is less than a second threshold value. Therefore, the accuracy of the noise reduction adaptation method can be ensured by controlling the sound intensity of the environment sound signal.

In a second aspect, an embodiment of the present application provides a noise reduction parameter adapting device, where the noise reduction parameter adapting device includes a processing module, where the processing module is configured to obtain an environmental sound signal; the processing module is used for determining the noise reduction amounts respectively corresponding to the environmental sound signals under the preset multiple groups of noise reduction parameters to obtain multiple noise reduction amounts; the plurality of groups of noise reduction parameters are noise reduction parameters respectively corresponding to the plurality of ear canal characteristics; the processing module is also used for determining a target noise reduction amount from the plurality of noise reduction amounts; and the processing module is also used for carrying out noise reduction processing by utilizing the target noise reduction parameters corresponding to the target noise reduction amount.

In one possible implementation, the communication module is configured to receive first indication information from the second electronic device; the first indication information is used for indicating that noise reduction parameter adaptation is carried out on the first electronic equipment and fitting degree detection is carried out on the earplug; in response to the first indication information, the first electronic device obtains an ambient sound signal.

In one possible implementation, the processing module is configured to perform fit detection on the earplug; and under the condition that the first electronic equipment determines that the earplug fitting degree detection is passed, the processing module is also used for acquiring an environment sound signal.

In one possible implementation, the plurality of sets of noise reduction parameters include: the first set of noise reduction parameters and the second set of noise reduction parameters, the ambient sound signal comprising: the first and second ambient sound signals, the plurality of noise reduction amounts including a first noise reduction amount and a second noise reduction amount; the processing module is specifically configured to determine a noise reduction amount of the first environmental sound signal under a first set of noise reduction parameters, so as to obtain a first noise reduction amount; the processing module is further specifically configured to determine a noise reduction amount of the second environmental sound signal under the second set of noise reduction parameters, so as to obtain a second noise reduction amount.

In one possible implementation, the processing module is configured to perform fit detection on the earplug; and under the condition that the first electronic equipment determines that the earplug fitting degree detection passes, the processing module is used for determining the noise reduction amount of the second environmental sound signal under the second group of noise reduction parameters to obtain a second noise reduction amount.

In one possible implementation, the first electronic device is an earphone, and the earphone includes a feedforward microphone and a feedback microphone, and a processing module is configured to: playing preset audio; collecting a third sound signal corresponding to the preset audio frequency by using a feedforward microphone, and collecting a fourth sound signal corresponding to the preset audio frequency by using a feedback microphone; performing noise suppression processing on the fourth sound signal by using the third sound signal to obtain a target sound signal; obtaining a sound variation amount based on the third sound signal and the target sound signal; detecting the fitting degree of the earplug based on the sound variation; wherein, earplug laminating degree detects and passes, includes: the sound variation is smaller than a preset threshold.

In one possible implementation, the headset further includes: the processing module is specifically configured to determine noise reduction amounts respectively corresponding to the environmental sound signals under preset multiple groups of noise reduction parameters based on the first transfer function, the second transfer function and/or the third transfer function, so as to obtain multiple noise reduction amounts; wherein the first transfer function is used for indicating the transfer path of sound between the feedforward microphone and the feedforward microphone, the second transfer function is used for indicating the transfer path of sound between the loudspeaker and the feedforward microphone, and the third transfer function is used for indicating the transfer path of sound between the feedforward microphone and a periosteum reference point deep in the auditory canal.

In one possible implementation, the communication module is further configured to send second indication information to the second electronic device; the second indication information is used for indicating the second electronic equipment to display the indication information; the prompt information is used for prompting the first electronic equipment to complete noise reduction parameter adaptation.

In one possible implementation, the target noise reduction amount is a noise reduction amount satisfying a preset bandwidth range, a preset low frequency bounce range, and/or a preset high frequency bounce range among the plurality of noise reduction amounts.

In one possible implementation, the sound intensity of the ambient sound signal is greater than a first threshold value and the sound intensity of the ambient sound signal is less than a second threshold value.

In a third aspect, embodiments of the present application provide a computer readable storage medium having stored therein a computer program or instructions which, when run on a computer, cause the computer to perform the noise reduction parameter adaptation method described in the first aspect or any one of the possible implementations of the first aspect.

In a fourth aspect, embodiments of the present application provide a computer program product comprising a computer program which, when run on a computer, causes the computer to perform the noise reduction parameter adaptation method described in the first aspect or any one of the possible implementations of the first aspect.

In a fifth aspect, the present application provides a chip or chip system comprising at least one processor and a communication interface, the communication interface and the at least one processor being interconnected by wires, the at least one processor being adapted to execute a computer program or instructions to perform the noise reduction parameter adaptation method described in the first aspect or any one of the possible implementations of the first aspect. The communication interface in the chip can be an input/output interface, a pin, a circuit or the like.

In one possible implementation, the chip or chip system described above further includes at least one memory, where the at least one memory has instructions stored therein. The memory may be a memory unit within the chip, such as a register, a cache, etc., or may be a memory unit of the chip (e.g., a read-only memory, a random access memory, etc.).

In a sixth aspect, an embodiment of the present application provides an electronic device, including a memory for storing a computer program and a processor for executing the computer program to perform the noise reduction parameter adaptation method described in the first aspect or any one of the possible implementations of the first aspect.

It should be understood that, the second aspect to the sixth aspect of the present application correspond to the technical solutions of the first aspect of the present application, and the advantages obtained by each aspect and the corresponding possible embodiments are similar, and are not repeated.

Drawings

FIG. 1 is a schematic view of a scene provided in an embodiment of the present application;

fig. 2 is a schematic structural diagram of an earphone according to an embodiment of the present application;

FIG. 3 is an interface schematic diagram of a fit detection according to an embodiment of the present application;

Fig. 4 is a schematic flow chart of a fitting degree detection and noise reduction parameter adaptation according to an embodiment of the present application;

fig. 5 is a schematic view of an ear canal according to an embodiment of the present application;

FIG. 6 is an interface diagram of another embodiment of a fit detection method;

FIG. 7 is a schematic diagram of a result of a further fit detection according to an embodiment of the present application;

fig. 8 is a schematic diagram of detection adaptation of an earphone according to an embodiment of the present application;

fig. 9 is a schematic view of an auricle according to an embodiment of the present application;

fig. 10 is a schematic flow chart of another fitting degree detection and noise reduction parameter adaptation provided in an embodiment of the present application;

FIG. 11 is a schematic diagram of an acoustic transfer path provided by an embodiment of the present application;

FIG. 12 is a schematic diagram of an adaptive adjustment according to an embodiment of the present application;

fig. 13 is a schematic structural diagram of an earphone according to an embodiment of the present application;

fig. 14 is a schematic structural diagram of a chip according to an embodiment of the present application.

Detailed Description

In order to clearly describe the technical solution of the embodiments of the present application, in the embodiments of the present application, the words "first", "second", etc. are used to distinguish the same item or similar items having substantially the same function and effect. For example, the first chip and the second chip are merely for distinguishing different chips, and the order of the different chips is not limited. It will be appreciated by those of skill in the art that the words "first," "second," and the like do not limit the amount and order of execution, and that the words "first," "second," and the like do not necessarily differ.

It should be noted that, in the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.

In the embodiments of the present application, "at least one" means one or more, and "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a alone, a and B together, and B alone, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b, or c may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or plural.

When the earphone is used by a user, due to individual differences between auricles and/or external auditory canals of different users, whether the fitting degree of the earplug is good or not is a big factor influencing the noise reduction effect for the in-ear earphone, so that the fitting degree detection is carried out after the earphone is worn by the user, and the noise reduction effect can be improved by the user to select the earplug with good fitting degree. Therefore, the user wears the earphone and then carries out the fit degree detection, so that the user can improve the noise reduction effect by selecting the earplug with good fit degree.

Exemplary, fig. 1 is a schematic view of a scenario provided in an embodiment of the present application. As shown in fig. 1, the scenario may include an earphone 10 and an electronic device 20 that establishes a communication connection with the earphone 10, where the electronic device 20 is exemplified as a mobile phone, and this example is not limited to the embodiment of the present application. The earphone 10 may include a left ear earphone 10-1 and a left ear earphone 10-2, wherein the earplug 101-1 is disposed in the left ear earphone 10-1, and the earplug 101-2 is disposed in the left ear earphone 10-2.

For example, as shown in fig. 1, when a user wears the earphone 10 (such as the earphone 10-1 and the earphone 10-2 in fig. 1) and debugs the earphone 10, the earphone 10 is connected to the electronic device 20, the electronic device 20 receives a trigger operation of the user for the fitness test control, and sends test indication information to the earphone 10 in response to the trigger operation. The test indication information is used for indicating the earphone 10 to perform the fit degree detection, the earphone 10 sends a detection result to the electronic device 20 when the fit degree detection is completed, and the electronic device 20 can feed back the received detection result to the user. And prompting the user to replace the earplug 101-1 and/or the earplug 101-2 of the earphone 10 until the fitting degree of the earphone 10 worn by the user reaches the preset standard under the condition that the fitting degree of at least one earphone of the earphone 10-1 or the earphone 10-2 does not reach the preset standard.

Therefore, under the condition that the fitting degree of the earphone reaches the preset standard, a user can realize physical isolation of environmental noise, so that a better noise reduction effect is achieved.

With the continuous development and maturation of active noise reduction technology, active noise reduction headphones obtained by combining the active noise reduction technology with earplugs can bring better noise reduction effect, so that the active noise reduction headphones are widely used. The active noise reduction is to collect noise of surrounding environment through a pickup microphone on the earphone, and then calculate in real time through a built-in chip to generate opposite-phase sound waves to counteract the noise, so that the effect of reducing the noise in sense is achieved.

For example, an active noise reduction headset may include a feed-forward (FF) microphone, a Feedback (FB) microphone, and a filter assembly. When the user wears the active noise reduction earphone, the noise signal collected by the FF microphone of the earphone is an ambient noise signal (or called an ambient sound signal), and the noise signal collected by the FB microphone of the earphone is a noise signal isolated by the earphone.

Active noise reduction headphones may include a feed-forward (FF) microphone, a Feedback (FB) microphone, and a filter assembly. When the user wears the active noise reduction earphone, the noise signals collected by the feedforward microphone of the earphone are environmental noise signals (also called environmental signals), and the noise signals collected by the feedback microphone of the earphone are noise signals isolated by the earphone. Currently, when an active noise reduction earphone is designed, through measuring the energy difference between an environmental signal acquired by a feedforward microphone of the earphone and a noise signal acquired by a feedback microphone and isolated by the earphone, the noise reduction parameter of a filter assembly is fixedly set according to the measured energy difference. Thus, under the condition of fixed noise reduction parameters, even if the fitting degree is good, the noise reduction effect of the active noise reduction earphone may have larger difference due to individual difference of external auditory meatus of different users.

In view of this, an embodiment of the present application provides a noise reduction parameter adapting method, where a first electronic device obtains an ambient sound signal; the first electronic equipment determines the noise reduction amounts respectively corresponding to the environmental sound signals under the preset multiple groups of noise reduction parameters to obtain multiple noise reduction amounts; wherein any one of the plurality of sets of noise reduction parameters has an ear canal feature corresponding to any one of the plurality of sets of noise reduction parameters; the first electronic device determines a target noise reduction amount from the plurality of noise reduction amounts; the first electronic equipment can automatically select the noise reduction parameters which are matched with the auditory meatus of the user and are most suitable from the preset multiple groups of noise reduction parameters according to the acquired environmental sound signals, and further, the first electronic equipment performs noise reduction processing by utilizing the target noise reduction parameters corresponding to the target noise reduction amount, so that the noise reduction effect of the earphone is enhanced.

The first electronic device may be an earphone described in the embodiment of the present application.

In order to better understand the embodiments of the present application, the structure of the earphone according to the embodiments of the present application is described below. Fig. 2 is a schematic structural diagram of an earphone according to an embodiment of the present application.

As shown in fig. 2, the headset 10 includes one or more processors 110, one or more memories 120, a communication interface 130, audio acquisition circuitry, and audio playback circuitry. Wherein the audio acquisition circuit further may comprise at least one microphone 140 and an analog-to-digital converter (ADC) 150. The audio playback circuit may further include a speaker 160 and a digital-to-analog converter (DAC). Optionally, the headset 10 may also include one or more sensors 180, such as a proximity sensor, a motion sensor, an inertial sensor, and so forth. These hardware components may communicate over one or more communication buses. The descriptions are as follows:

The processor 110 is a control center of the headset 10 and may also be referred to as a control unit, controller, microcontroller, or some other suitable terminology. The processor 110 connects the various components of the headset 10 using various interfaces and lines, and in a possible embodiment, the processor 110 may also include one or more processing cores. In a possible embodiment, the processor 110 may have integrated therein a main control unit and a signal processing module. The Main Control Unit (MCU) is configured to receive data collected by the sensor 180 or a monitoring signal from the signal processing module or a control signal from a terminal (e.g. a mobile phone APP), and finally control the earphone 10 through comprehensive judgment and decision. The main control unit is also used for writing the filter coefficients to the positions of the filter coefficients corresponding to the filters in the signal processing module, so that the configuration of the filters is realized. In addition, the main control unit may be further configured to determine a volume of the downlink audio signal according to the level index.

In the embodiment of the present application, the processor 110 may be configured to control the working time sequence of each component of the earphone 10, configure the working parameters of each component of the earphone 10, and analyze the data collected by at least one microphone or sensor through an algorithm so as to set the noise reduction parameters adapted to the auditory canal of the user.

Memory 120 may be coupled to processor 110 or may be connected to processor 110 via a bus for storing various software programs and/or sets of instructions and data. In particular implementations, memory 120 may include high-speed random access memory, and may also include non-volatile memory, such as one or more disk storage devices, embedded multimedia cards (embedded multi media card, EMMC), universal flash storage (universal flash storage, UFS), read-only memory (ROM), flash memory (flash), or the like, or other types of static memory that may store static information and instructions. Memory 120 may also store one or more computer programs, including program instructions for the methods described herein. Illustratively, the memory 203 stores computer instructions for implementing the noise reduction parameter adaptation method.

The memory 120 may also store a communication program that may be used to communicate with the terminal. In one example, memory 120 may also store data/program instructions, and processor 110 may be used to invoke and execute the data/program instructions in memory 120. For example, multiple sets of noise reduction parameters may be stored in memory 120.

Alternatively, the memory 120 may be a memory external to the MCU, or may be a storage unit of the MCU itself.

The communication interface 130 is used for communicating with a terminal, and the communication mode may be a wired mode or a wireless mode. When the communication manner is wired communication, the communication interface 130 may be accessed to the terminal through a cable. When the communication mode is wireless communication, the communication interface 130 is configured to receive and transmit radio frequency signals, and the supported wireless communication mode may be at least one of Bluetooth (Bluetooth) communication, wireless-fidelity (Wifi) communication, infrared communication, or cellular 2/3/4/5generation (2/3/4/5 generation, 2G/3G/4G/5G) communication. In particular implementations, communication interface 130 may include, but is not limited to: an antenna system, an RF transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a CODEC chip, a SIM card, a storage medium, and so forth. In some embodiments, the communication interface 130 may be implemented on a separate chip.

In an embodiment of the present application, the communication interface 130 may be used to indicate the detection of the fit of the earphone 10. For example, the user sends a trigger instruction to the headset 10 via an Application (APP) at the electronic device and communicates to the communication interface 130 via a wireless link, which may be a bluetooth link, for example. The trigger instruction is used for the main control unit to perform the fitting degree detection and the setting of noise reduction parameters, and/or the playing volume of the downlink audio signal.

The electronic device may also be referred to as a terminal (terminal), a User Equipment (UE), a Mobile Station (MS), a Mobile Terminal (MT), or the like. The electronic device may be a mobile phone with communication function, a smart television, a wearable device, a tablet (Pad), a computer with wireless transceiving function, a Virtual Reality (VR) device, an augmented reality (augmented reality, AR) device, a device in industrial control (industrial control), a device in unmanned driving (self-driving), a device in teleoperation (remote medical surgery), a device in smart grid (smart grid), a device in transportation security (transportation safety), a device in smart city (smart city), a device in smart home (smart home), and so on. The embodiment of the application does not limit the specific technology and the specific equipment form adopted by the electronic equipment.

The at least one microphone 140 may include: FF microphone, FB microphone, main microphone, etc. The microphone 140 may be used to collect sound signals (or audio signals, which are analog signals), and the analog-to-digital converter 150 is used to convert the analog signals collected by the microphone 140 into digital signals, and send the digital signals to the processor 110 for processing, and in a specific embodiment, may be sent to a signal processing module for processing. The signal processing module may transmit the processed signal (e.g., the audio signal) to the digital-to-analog converter 170, and the digital-to-analog converter 170 may convert the received signal to an analog signal, and further transmit the analog signal to the speaker 160, where the speaker is used for playing according to the analog signal, so that the user can hear the sound.

FF microphones are typically provided on the side of the earphone 10 remote from the ear canal (i.e., the outside of the earphone) for capturing sound signals or noise in the external environment.

The FB microphone is typically disposed on a side of the earphone 10 that is close to the ear canal (i.e., on the inside of the earphone), closer to the speaker, for collecting sound signals in the user's ear canal. In the embodiment of the application, the FB microphone can collect, for example, a sound signal transmitted by bone conduction when a user speaks, part of noise transmitted from outside, or collect noise in an ear canal caused by vibration of an earphone, vibration of an earphone line, rotation of a head, or vibration of the earphone caused by external collision or friction when the earphone is worn for movement.

It should be noted that, the earphone provided by the embodiment of the present application may include a left ear earphone and a right ear earphone, where the left ear earphone includes an FF microphone and an FB microphone; the right ear phone may also include an FF microphone and an FB microphone.

Those skilled in the art will appreciate that the earphone 10 is merely one example provided by embodiments of the present application. In a specific implementation of the application, the headset 10 may have more or fewer components than shown, two or more components may be combined, or may have different configuration implementations of the components. It should be noted that, in an alternative case, the above-mentioned components of the earphone 10 may also be coupled together.

It should be understood that in various embodiments of the present application, the term "coupled" refers to an interconnection by a particular means, including directly or indirectly through other devices, such as through various types of interfaces, transmission lines or buses, etc., which are typically electrical communication interfaces, although mechanical interfaces or other forms of interfaces are not precluded, and embodiments of the present application are not limited in this respect.

It will be appreciated that the above-described earphone 10 may also be referred to as an earplug, a headset, a walkman, an audio player, a media player, a headset, an earpiece device, or some other suitable terminology. The embodiments of the present application are not limited in this regard.

The following describes the technical scheme of the present application and how the technical scheme of the present application solves the above technical problems in detail with specific embodiments. The following embodiments may be implemented independently or combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

The noise reduction parameter adapting method described in the embodiment of the application can relate to a headset and an electronic device, and the headset and the electronic device can be connected. By way of example, the headset and the electronic device may establish a communication connection through a wired communication means; or, the earphone and the electronic device may also establish communication connection through a wireless communication manner, for example, the earphone and the electronic device may establish communication connection through a wireless manner such as bluetooth, WIFI, or connection to the same cloud account. In the embodiment of the present application, an electronic device is taken as an example of a mobile phone, and the example does not limit the embodiment of the present application.

It can be understood that a preset application for controlling the earphone can be arranged in the mobile phone, so that the user can realize functions of detecting the fitting degree of the earphone and the like based on the preset application. The preset application may be a three-party application or an application in a mobile phone system, which is not limited in the embodiment of the present application.

Exemplary, fig. 3 is an interface schematic diagram of a fitness detection according to an embodiment of the present application.

In the case where the earphone is connected to the mobile phone, the mobile phone may perform the fit detection based on a preset application, for example, when the mobile phone receives an operation of opening a fit detection function in the application by a user, the mobile phone may display an interface shown in a in fig. 3, where the interface may include: text information for indicating the fit detection, prompt information for indicating the start of the detection, images of headphones and left and right ear tags (where L may correspond to left ear headphones and R may correspond to right ear headphones), a control for exiting the fit detection in the upper left corner, and a start control 301, etc. Wherein, this text information for instructing laminating degree detects can show as: detecting the fitting degree of the earplug; the prompt information for indicating to start detection may be: please wear two headphones, press the "start" button; the start control 301 is used to start noise reduction parameter adaptation and fit detection of the earplug.

In the interface shown in a in fig. 3, when the mobile phone receives the triggering operation of the user for the start control 301, the mobile phone may display the interface shown in b in fig. 3 and initiate indication information to the earphone, so that the earphone may perform fit detection and noise reduction parameter adaptation according to the indication information. Wherein the triggering operation may include: clicking operation, long pressing operation, sliding operation, etc., which are not limited in the embodiment of the present application.

An interface as shown in b in fig. 3, which may include: the method comprises the steps of text information for indicating that the earphone is not taken off, text information for indicating that the fitting degree detection is being performed, and a detection control. Wherein, the text information for indicating that the fit detection is being performed may be displayed as: the fitting degree detection and noise reduction parameter adaptation are being performed; the detecting control may be gray, which may be understood as the detecting control being in a non-triggerable state.

Based on the method, a user can flexibly control the earphone by using the mobile phone when the earphone fitting degree detection is required according to the self requirement, and further, the earphone is ensured to have a better noise reduction effect under the condition that the fitting degree detection is qualified; and noise reduction parameter adaptation is realized in the process of the fit degree detection.

On the basis of the embodiment corresponding to fig. 3, as shown in the interface b in fig. 3, when the mobile phone initiates a prompt to the earphone, the earphone can execute the process of fitting degree detection and noise reduction parameter adaptation according to the prompt information sent by the mobile phone.

In the embodiment of the present application, two noise reduction parameter adaptation methods may be adopted for the earphone, for example, the first method and the earphone may perform noise reduction parameter adaptation based on a preset noise reduction parameter related to the characteristics of the auditory canal (see the embodiment corresponding to fig. 4); method two, the headset may match noise reduction parameters associated with the ear canal features in real time based on analysis of the ear canal features (see the corresponding embodiment of fig. 10).

According to the first method, the earphone can perform noise reduction parameter adaptation based on the preset noise reduction parameters related to the characteristics of the auditory canal.

Fig. 4 is a schematic flow chart of the fit detection and noise reduction parameter adaptation according to an embodiment of the present application. As shown in fig. 4, the fitting degree detection and noise reduction parameter adaptation may include the following steps:

s401, the earphone acquires indication information.

In the embodiment of the application, the indication information is used for indicating the earphone to perform the preset fitting degree detection and noise reduction parameter adaptation steps.

In a possible implementation, the headset receives the indication information sent from the mobile phone. It will be appreciated that the headset may be connected to the handset via bluetooth communication, or alternatively, the headset may be connected to the handset via a physical line. The embodiment of the present application is not limited thereto.

Illustratively, a user selects a model of ear bud for the headset in a everyday environment, wears the headset, and operates at the interface of the handset as shown at a in fig. 3 after the headset is connected to the handset. The mobile phone receives a trigger operation for starting control 301 in the interface a shown in fig. 3, and responds to the trigger operation to send indication information to the earphone connected with the mobile phone. The earphone receives the indication information from the mobile phone. In response to the triggering operation, the mobile phone may also display an interface as shown by b in fig. 3.

In the embodiment of the application, the daily environment is an environment with sound intensity greater than a first threshold value and less than a second threshold value. The sound intensity is larger than the first threshold value in order to avoid that the environment of the user is too quiet in the process of carrying out noise reduction parameter adaptation, and smaller than the second threshold value in order to avoid that the environment of the user is too noisy in the process of carrying out noise reduction parameter adaptation.

S402, receiving indication information at the earphone, and collecting N first noise reduction amounts corresponding to N preset noise reduction parameters in a first preset time period in a non-playing state.

Wherein the N first noise reduction amounts may include: l (L) ₁ (f)-L _N (f) N is an integer greater than 1.

In the embodiment of the present application, the non-playing state may be a state where the earphone does not play any sound; the first preset time period may be 1 second to 3 seconds or other time period, etc.

In the embodiment of the application, M groups of noise reduction parameters can be arranged in the earphone, and the M groups of noise reduction parameters can be preset according to different auditory canal characteristics. For example, the mobile phone can perform cluster analysis on measured auditory canal data of a large number of users wearing headphones, and the auditory canals participating in the actual measurement are simplified and divided into M groups of auditory canal features; aiming at any one of the M groups of ear canal characteristics, the electronic equipment can be matched with different noise reduction parameters, and the noise reduction parameters with the optimal noise reduction effect are obtained to be used as the noise reduction parameters suitable for the any one group of ear canal characteristics, so that M groups of noise reduction parameters respectively corresponding to the M groups of ear canal characteristics are obtained. The user with different ear canal characteristics can obtain good noise reduction effect based on noise reduction parameters related to the ear canal characteristics under the condition of wearing the earphone normally.

Fig. 5 is a schematic view of an ear canal according to an embodiment of the present application. As shown in fig. 5, there are no large differences in the length of the ear canal, the width of the ear canal, the shape of the ear canal, and the like of the user. For example, the ear canal 501 in fig. 5 is approximately 28 millimeters (mm) long and 48mm wide, the ear canal 501 being shaped as a "hook"; the ear canal 502 in fig. 5 is approximately 31mm long and 20mm wide, and the shape of the ear canal 502 is relatively uniform.

It can be understood that the ear canals of different users have larger difference, so that the noise reduction amount when the current user wears the earphone can be calculated by using the noise reduction parameters corresponding to the features of the ear canals, and then the target noise reduction parameters suitable for the ear canals of the user are screened out, so that the noise reduction effect is improved.

In the embodiment of the present application, any one set of noise reduction parameters may include: FF noise reduction parameters (or referred to as feedforward filter coefficients) for reducing noise of a first sound signal acquired by the FF microphone; alternatively, any of the noise reduction parameters may include: FF noise reduction parameters for reducing noise of a first sound signal acquired by the FF microphone, and FB noise reduction parameters (or referred to as feedback filter coefficients) for reducing noise of a second sound signal acquired by the FB microphone. It can be appreciated that, since the noise reduction effect of the FB microphone is relatively stable during the actual noise reduction process of the earphone, the noise reduction parameters may include only FF noise reduction parameters.

Illustratively, the noise reduction parameters in any of the sets include: the process of performing noise reduction parameter adaptation using any one of the N sets of noise reduction parameters is described by taking FF noise reduction parameters and FB noise reduction parameters as an example. For example, when the earphone receives indication information sent by the mobile phone, the earphone can respectively acquire sound signals by using the FF microphone and the FB microphone, and the first sound signal acquired by the FF microphone is subjected to noise reduction processing by using the FF noise reduction parameters in any group of noise reduction parameters to obtain the FF noise reduction amount; and performing noise reduction processing on the second sound signal acquired by the FB microphone by using the FB noise reduction parameters in any group of noise reduction parameters to obtain an FB noise reduction amount, and further obtaining a first noise reduction amount corresponding to any group of noise reduction parameters according to the difference between the FF noise reduction amount and the FB noise reduction amount. Similarly, the earphone obtains the noise reduction amount L corresponding to the N-th set of noise reduction parameters ₁ (f)-L _N (f) A. The application relates to a method for producing a fibre-reinforced plastic composite The earphone may perform the noise reduction processing step described in the embodiment of the present application based on a preset ANC filter or the like.

In a possible implementation manner, the earphone can also perform environment recognition by using the first sound signal acquired based on the FF microphone, so that the earphone can perform fitting degree detection of the earplug in an environment that the first sound signal is greater than a first threshold and the first sound signal is less than a second threshold. Wherein the second threshold is greater than the first threshold.

Fig. 6 is an interface schematic diagram of another fitness detection according to an embodiment of the present application. For example, when the earphone detects that the sound intensity of the first sound signal (or the sound signal corresponding to the daily environment, or the sum of the sound signal detected by the feedforward microphone and the sound signal detected by the feedback microphone) is greater than the second threshold, the earphone may determine that the earphone is currently in a noisy environment, and the earphone may display an interface as shown by a in fig. 6, where the interface may include: prompt 601 for indicating a greater sound intensity in the environment, and an end control. The prompt 601 may be displayed as: when the current environment is detected to be louder, please shift to the environment with normal sound intensity.

Further, when the earphone detects that the sound intensity of the first sound signal is smaller than the first threshold, the earphone may determine that the earphone is currently in a quieter environment, and the earphone may be switched from the interface shown by a in fig. 6 to the interface shown by b in fig. 6, where the interface may include: a prompt 602 indicating a lesser sound intensity in the environment. Wherein, the prompt 602 may be displayed as: when the current environment is detected to be low in sound, the environment is shifted to the environment with normal sound intensity. The interface shown in a in fig. 6 and the other contents displayed in the interface shown in b in fig. 6 are similar to those shown in b in fig. 3, and will not be described again.

It will be appreciated that in a scene where the sound intensity is high or low in the environment, the subsequent noise reduction effect may be affected, so that it is necessary to ensure that the fit detection and the noise reduction parameter adaptation are performed in the environment of appropriate sound intensity.

S403, detecting the fitting degree of the earplug by using preset audio in a second preset time period of the playing state of the earphone, and obtaining a fitting degree detection result.

In the embodiment of the application, the preset audio can be set in the preset application of the mobile phone connected with the earphone; the second preset time period may be a time period corresponding to the preset audio.

In a possible implementation manner, the earphone performs the fit detection through the following steps:

step one: and in the process of playing the preset audio, the earphone respectively collects sound signals by using the FF microphone and the FB microphone to obtain a third sound signal corresponding to the FF microphone and a fourth sound signal corresponding to the FB microphone.

Step two: and the earphone performs the fit degree detection by using the third sound signal and the fourth sound signal to obtain a fit degree detection result.

The earphone collects a third sound signal collected by the FF microphone based on the earphone, and performs noise suppression processing on a fourth sound signal collected by the FB microphone in combination with the third sound signal collected by the FF microphone under the condition that the signal-to-noise ratio of the third sound signal is smaller than the signal-to-noise ratio threshold value, so as to obtain a sound signal (or referred to as a target sound signal) for playing preset audio; further, based on the third sound signal and the variation of the sound signal for playing the preset audio, obtaining the leakage of the earphone; and when the leakage amount is smaller than a preset leakage amount threshold value, determining that the fitting degree of the earphone is good, or when the leakage amount is larger than or equal to the leakage amount threshold value, determining that the fitting degree of the earphone is insufficient.

The noise suppression processing of the fourth sound signal collected by the FB microphone in combination with the third sound signal collected by the FF microphone may be an active noise reduction method based on the third sound signal, or may be other methods, which is not limited in the embodiment of the present application.

In a possible implementation manner, the key frequency in the third sound signal may also be collected, and the fitting degree of the earphone may be detected by using the variation of the signal on the key frequency. For example, the earphone collects a third sound signal collected by the FF microphone based on the earphone, and obtains a first response amplitude of the third sound signal on a key frequency, and under the condition that the signal-to-noise ratio of the first response amplitude is smaller than a signal-to-noise ratio threshold, the third sound signal collected by the FF microphone is combined to perform noise suppression processing on a fourth sound signal collected by the FB microphone, so as to obtain a sound signal of playing preset audio, and obtain a second response amplitude of the sound signal of playing preset audio on the key frequency; further, based on the variation of the first response amplitude and the second response amplitude, obtaining the leakage of the earphone; and when the leakage amount is smaller than a preset leakage amount threshold value, determining that the fitting degree of the earphone is good, or when the leakage amount is larger than or equal to the leakage amount threshold value, determining that the fitting degree of the earphone is insufficient. The range corresponding to the key frequency may be: 20 hertz (Hz) -4000Hz.

In a possible implementation manner, the earphone can also detect the leakage amount of noise according to the algorithm, and correspondingly adjust or compensate the noise reduction parameters according to the leakage amount, so that the earphone can improve the noise leakage condition under the condition that a user does not need to adjust the earplug, and a better noise reduction effect is obtained.

S404, judging whether the bonding degree detection results of the earphones at the two sides are good in bonding degree, if so, executing S406, and if not, executing S405.

It can be understood that, under the condition that the laminating degree detection result of at least one side earphone represents that the laminating degree of earphone is insufficient, the earphone can all send prompt message to the cell-phone in order to remind the user to change the model of the earplug of earphone, or carry out laminating degree detection again after adjusting the wearing position of earphone. If the fit degree detection results of the two-side headphones represent that the fit degree is good, the headphones continue to operate the procedure of automatically adapting the noise reduction parameters based on the ear canal type in the step shown in S406.

S405, the earphone sends prompt information to the mobile phone, wherein the prompt information is used for prompting a user to replace an earplug of the earphone.

Fig. 7 is a schematic diagram illustrating a result of still another fit detection according to an embodiment of the present application.

As shown in fig. 7, when the headset transmits a message indicating that the left ear headset is not sufficiently attached and the right ear headset is not sufficiently attached to the mobile phone, the mobile phone may display an interface as shown in a in fig. 7, and the interface may include: text information for indicating the fitting degree of each earphone, prompt information 701 for indicating the fitting degree detection result, a control for re-detection, a control for completing detection, and the like. The prompt 701 may be displayed as: the earphone fitting degree detection result shows that the size of the earplug worn at present is not suitable for detection and replacement is required; the text information for indicating the fitting degree of each earphone can be: the degree of adhesion is insufficient.

Further, when the user replaces the earplug and the mobile phone receives the triggering operation of the user for the control for re-detection shown in a in fig. 7, the mobile phone may send the indication information to the earphone again and instruct the earphone to execute the step shown in S403, so as to obtain the detection result of re-performing the fit detection.

S406, acquiring M-N second noise reduction amounts corresponding to the preset M-N groups of noise reduction parameters in a third preset time period of the earphone in a non-playing state. Wherein the second noise reduction amount may include: l (L) _N+1 (f)-L _M (f)。

In an exemplary embodiment, after the earphone detects that the fitting degree is good, the earphone maintains a non-playing state and continues to obtain the remaining noise reduction parameters in the M groups of noise reduction parameters, for example, noise reduction amounts respectively corresponding to the n+1st group of noise reduction parameters and the M th group of noise reduction parameters, so as to obtain a second noise reduction amount.

It will be appreciated that the 1 st to nth sets of noise reduction parameters of the M sets of noise reduction parameters in the headset may be used to obtain the first noise reduction amount in the step shown in S402; the n+1st-mth set of noise reduction parameters of the M sets of noise reduction parameters may be used to obtain a second noise reduction amount in the step shown in S406.

When the user performs the fit detection in the interface shown in b in fig. 3, the user may perform the calculation of the noise reduction amount by using a small amount of the noise reduction parameters in the M groups of noise reduction parameters in a first preset time period in a non-playing state before the fit detection, and perform the calculation of the noise reduction amount by using the remaining noise reduction parameters in the M groups of noise reduction parameters in a third preset time period in a non-playing state after the fit detection is qualified.

In this way, the situation that a long time is caused when the noise reduction amount is calculated by using all M groups of noise reduction parameters before the lamination degree detection (or after the lamination degree detection) is avoided, and bad use experience is brought to a user is avoided.

In a possible implementation, the earphone may also adapt noise reduction parameters in the following way.

In one implementation, when the earphone receives the indication information sent by the mobile phone in S401, the earphone may collect M noise reduction amounts corresponding to the preset M groups of noise reduction parameters in a period of time in a non-play state, further perform noise reduction parameter adaptation by using the M noise reduction amounts, and perform the step shown in S403 to perform the fit detection after the noise reduction parameter adaptation is completed.

In still another implementation, when the earphone receives the indication information sent by the mobile phone in S401, the earphone performs the step shown in S403 to perform the fit detection, and after the fit detection is passed, collects M noise reduction amounts corresponding to the preset M groups of noise reduction parameters in a period of time in a non-play state, and further performs noise reduction parameter adaptation by using the M noise reduction amounts.

It can be understood that, in the embodiment of the present application, the method for adapting the noise reduction parameters by using the M groups of noise reduction parameters is not specifically limited.

S407, determining target noise reduction parameters according to the N first noise reduction amounts and noise reduction parameters corresponding to the first noise reduction amounts, the M-N second noise reduction amounts and noise reduction parameters corresponding to the second noise reduction amounts.

For example, the method for determining the target noise reduction parameter by using the M sets of noise reduction amounts corresponding to the M sets of noise reduction parameters may be: the earphone determines a target noise reduction parameter based on at least one of a noise reduction bandwidth condition, a low frequency bounce condition, and a high frequency bounce condition. The earphone may calculate the bandwidth, the low-frequency rebound value, and the high-frequency rebound value corresponding to the M groups of noise reduction amounts respectively, so as to screen out a target noise reduction amount with a bandwidth meeting a bandwidth range, a low-frequency rebound value meeting a low-frequency rebound unit, and/or a high-frequency rebound value meeting a high-frequency rebound range from the M groups of noise reduction amounts, thereby obtaining a target noise reduction parameter corresponding to the target noise reduction amount.

It will be appreciated that the bandwidth range, the low frequency bounce range, and the high frequency bounce range may all be different in different headphones, which is not limited in the embodiments of the present application.

In a possible implementation manner, the earphone may also be provided with M sets of noise reduction parameters and weights corresponding to the M sets of noise reduction parameters. When detecting that the Q-group noise reduction amounts in the M-group noise reduction amounts meet at least one of the noise reduction bandwidth condition, the low-frequency rebound condition and the high-frequency rebound condition, the earphone can further utilize weights corresponding to the Q-group noise reduction amounts to weight the Q-group noise reduction parameters, so as to obtain target noise reduction parameters. Wherein Q is less than or equal to M.

S408, the earphone sends the detection adaptation result to the mobile phone. The detection adaptation result is used for representing that the fitting degree of the earphone is good, and the adaptation noise reduction parameters are completed.

It will be appreciated that after S408, each time the user wears the earphone thereafter, the earphone will perform the noise reduction processing using the target noise reduction parameter, so as to avoid repeating the matching of the noise reduction parameter. Therefore, after a plurality of users wear the device normally, the noise reduction effect above the average level can be achieved even if the noise reduction parameter adaptation is not performed. When the user detects the fitting degree of the earphone again, the earphone will calculate the target noise reduction parameters again.

For example, in the case that the earphone calculates the target noise reduction parameter, the earphone may determine that the noise reduction parameter matching process is completed, and send indication information for indicating that the noise reduction parameter matching is completed to the mobile phone; when the mobile phone receives the indication information sent by the earphone and used for indicating that the noise reduction parameter matching is completed, the mobile phone can display an interface shown as b in fig. 7. As shown in b in fig. 7, the prompt information 702 for indicating the result of the fit degree detection in the interface may be displayed as: the earphone fitting degree detection result shows that the size of the earplug worn at present is proper to detect, and personalized noise reduction parameters are configured for the earplug; the text information for indicating the fitting degree of each earphone can be: the fit is good, and other contents displayed in the interface may be similar to the interface shown in a in fig. 7, and will not be described here again.

Fig. 8 is a schematic diagram of detection adaptation of an earphone according to an embodiment of the present application. The ear camera in fig. 8 respectively collects the frequency domain noise reduction amount of the earphone under the 1 st preset ANC filter coefficient to the frequency domain noise reduction amount of the earphone under the N preset ANC filter coefficient, then performs earplug attachment degree detection, and under the condition that the earplug attachment degree detection is good, collects the frequency domain noise reduction amount of the earphone under the n+1 th preset ANC filter coefficient to the frequency domain noise reduction amount of the earphone under the M preset ANC filter coefficient. Then, the earphone selects the optimal noise reduction amount from the acquired multiple frequency domain noise reduction amounts, and takes the filter coefficient corresponding to the optimal noise reduction amount as the matched target noise reduction parameter.

It should be noted that, in the normal earphone use process, the earphone can also detect the leakage amount of noise according to the algorithm, and correspondingly adjust or compensate the noise reduction parameters according to the leakage amount. Thereby, better noise reduction effect can be obtained.

In the embodiment of the application, when the user detects that the fitting degree of the selected earplug is good, the user automatically polls a plurality of groups of noise reduction parameters to complete the adaptation of the noise reduction parameters, so that the adapted noise reduction parameters are more in line with the characteristics of the auditory canal of the user, thereby being beneficial to enhancing the noise reduction effect. Therefore, a user does not need to run a program specially used for parameter adaptation, and the use experience of the user on the earphone is improved.

Based on the above, the earphone can automatically match noise reduction parameters matched with the characteristics of the auditory canal of the user according to the sound signals acquired by the earphone in the process of detecting the fitting degree, so that the noise reduction effect of the active noise reduction earphone is enhanced.

In a possible implementation, on the basis of the embodiment corresponding to fig. 4, different auricles will also have a certain influence on the noise reduction effect.

Fig. 9 is a schematic view of an auricle according to an embodiment of the present application. As shown in fig. 9, there is a large difference between the sizes of auricles 901 and 902, and as an important part for receiving external sound signals, different auricles will also have a large influence on the reception of sound signals, and thus have an influence on the noise reduction effect in the embodiment of the present application.

Illustratively, the earphone may also be provided with: in the noise reduction process, the electronic equipment can also collect images of ears of the user, extract auricle features of the user, and further determine target noise reduction parameters based on the auricle features and preset auditory canal features.

Based on the method, the earphone is a user with different auditory canal characteristics and auditory profiles, and suitable target noise reduction parameters are matched, so that the earphone can bring good noise reduction effects for different users.

The second method and the earphone can be used for matching noise reduction parameters related to the characteristics of the auditory canal in real time based on the analysis of the characteristics of the auditory canal.

Fig. 10 is a schematic flow chart of another fitting degree detection and noise reduction parameter adaptation according to an embodiment of the present application. As shown in fig. 10, the fitting degree detection and noise reduction parameter adaptation may include the following steps:

s1001, the earphone acquires indication information.

S1002, receiving indication information by the earphone, and acquiring a first acoustic transmission path by using a first sound signal acquired by the FF microphone and a second sound signal acquired by the FB microphone in a first preset time period in a non-playing state.

The description of the indication information, the non-playing state and the first preset time period may refer to the steps shown in S402, which are not described herein.

In the embodiment of the application, the first acoustic transmission path is the acoustic transmission path from the indicating FF microphone to the FB microphone or the acoustic transmission path from noise to human ear; the first acoustic transfer path may also be referred to as: a primary acoustic path, or a first transfer function, etc.

Fig. 11 is a schematic diagram of an acoustic transmission path according to an embodiment of the present application. In the corresponding embodiment of fig. 11, an FF microphone, a speaker, and an FB microphone may be included in any of the headphones, which may enable the delivery of sound to the eardrum.

As shown in FIG. 11, X _AC (t) can be an ambient sound signal and the first acoustic transmission path can be P _A (s)。

It may be appreciated that the earphone may determine the first acoustic transmission path based on a preset neural network model or other methods, which is not limited in the embodiment of the present application.

S1003, detecting the fitting degree of the earplug by using preset audio in a second preset time period when the earphone is in a playing state, and obtaining a fitting degree detection result; the second acoustic transmission path is obtained by using the down sound signal output from the speaker and the fourth sound signal collected by the FB microphone, and the third acoustic transmission path is obtained by using the third sound signal collected by the FF microphone, the fourth sound signal collected by the FB microphone, and the down sound signal output from the speaker.

The method for detecting the fit degree may refer to the description in the step shown in S403, and will not be described herein.

In the embodiment of the present application, the second acoustic transmission path, which indicates the acoustic path between the speaker and the FB microphone, or is understood as the acoustic path between the sound emitted by the speaker and the human ear, may also be referred to as: a secondary acoustic path, or a second transfer function, etc.; this third acoustic transfer path, which may also be referred to as an acoustic path between the indicated FB microphone and the eardrum reference point (ear-drum reference point, DRP) deep in the ear canal: and a third transfer function.

As shown in fig. 11, the second acoustic transfer path may be G _A (s); the third acoustic transfer path may be E _A (s). It is understood that the headphones may determine the second acoustic transfer path based on a preset neural network model or other method, etc. For example, the earphone may determine the third acoustic transmission path based on a preset earphone-ear canal acoustic model, which is not limited in the embodiment of the present application. It will be appreciated that the method of deriving the first acoustic transfer path, the second acoustic transfer path and the third acoustic transfer path are all different.

It can be understood that if the bonding degree detection results of the two-side headphones represent that the bonding degree is good, the headphones will execute the step shown in S1004, and continue to acquire the noise reduction parameters of the headphones.

S1004, under the condition that the bonding degree detection results of the two-side earphones are good in bonding degree, calculating to obtain target noise reduction parameters by the earphones through the first acoustic transmission path, the second acoustic transmission path and/or the third acoustic transmission path.

In one implementation, a plurality of sets of noise reduction parameters may also be provided in the earphone, so that the earphone may calculate noise reduction amounts corresponding to the plurality of sets of noise reduction parameters respectively by using the first acoustic transmission path, the second acoustic transmission path, and/or the third acoustic transmission path and the plurality of sets of noise reduction parameters, and determine an optimal target noise reduction parameter based on the plurality of noise reduction amounts.

For example, the earphone may input the first acoustic transmission path, the second acoustic transmission path, and/or the third acoustic transmission path, the first sound signal acquired by the FF microphone, and the second sound signal acquired by the FB microphone into a preset neural network model, calculate the noise reduction amounts corresponding to different noise reduction parameters, and output the noise reduction parameters corresponding to the best noise reduction effect, so as to obtain the target noise reduction parameters.

It will be appreciated that the plurality of sets of noise reduction parameters may be noise reduction parameters that are independent of (or related to) the characteristics of the ear canal. In the neural network model, even if the noise reduction parameters are irrelevant to the characteristics of the auditory canal, the earphone can calculate the target noise reduction parameters most relevant to the characteristics of the auditory canal in the current scene based on a plurality of acoustic transmission paths obtained by real-time calculation.

In another implementation, a set of noise reduction parameters may be set in the earphone, so that the earphone may acquire the noise reduction amount by using the first acoustic transmission path, the second acoustic transmission path, and/or the third acoustic transmission path, and adaptively adjust the set of noise reduction parameters based on the noise reduction amount, so that the earphone may obtain the target noise reduction parameters with better noise reduction effect.

Fig. 12 is a schematic diagram illustrating an adaptive adjustment according to an embodiment of the present application. As shown in fig. 12, x may be ambient sound and x 'may be passing G' _A (s) estimated resulting signal value, W _FF May be a feedforward controller (containing a set of noise reduction parameters), e may be x through P _A (s) the resulting signal is passed through W with x _FF Noise reduction and G _A (s) the difference between the signals obtained after(s). Earphone can be used advantageouslyWith x', E and E _A And(s) adaptively adjusting the noise reduction parameters in the feedforward controller, so that the earphone can output the target noise reduction parameters with the best noise reduction effect.

S1005, the earphone sends a detection adaptation result to the mobile phone. The detection adaptation result is used for representing that the fitting degree of the earphone is good, and the adaptation noise reduction parameters are completed.

Based on the method, the earphone can calculate the acoustic transmission path in real time through the acquired voice signal, and estimate the target noise reduction parameter based on the acoustic transmission path, so that a better noise reduction effect is obtained based on the target noise reduction parameter.

On the basis of the embodiments corresponding to fig. 4 and fig. 10, the noise reduction parameter adapting method described in the embodiment of the present application may be implemented not only in the earphone; or the noise reduction parameter adapting method described in the embodiment of the application can be realized in the electronic equipment connected with the earphone, namely, the earphone can send the sound signals acquired in different time periods to the electronic equipment, so that the electronic equipment executes the noise reduction parameter adapting method described in the embodiment of the application based on the sound signals sent by the earphone, and further sends the target noise reduction parameters obtained by adapting to the earphone.

It should be understood that the interfaces described in the embodiments of the present application are only examples, and should not be construed as limiting the embodiments of the present application.

The foregoing description of the solution provided by the embodiments of the present application has been mainly presented in terms of a method. To achieve the above functions, it includes corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the present application may be implemented in hardware or a combination of hardware and computer software, as the method steps of the examples described in connection with the embodiments disclosed herein. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

According to the embodiment of the application, the electronic equipment for realizing the noise reduction parameter adaptation method can be divided into the functional modules according to the method example, for example, each functional module can be divided corresponding to each function, and two or more functions can be integrated into one processing module. The integrated modules may be implemented in hardware or in software functional modules. It should be noted that, in the embodiment of the present application, the division of the modules is schematic, which is merely a logic function division, and other division manners may be implemented in actual implementation.

Fig. 13 is a schematic structural diagram of an earphone according to an embodiment of the present application, where an earphone 1300 shown in fig. 13 includes a processing module 1301; a processing module 1301, configured to acquire an ambient sound signal; the processing module 1301 is configured to determine noise reduction amounts of the environmental sound signal corresponding to the preset plurality of groups of noise reduction parameters, so as to obtain a plurality of noise reduction amounts; the plurality of groups of noise reduction parameters are noise reduction parameters respectively corresponding to the plurality of ear canal characteristics; a processing module 1301, configured to determine a target noise reduction amount from the plurality of noise reduction amounts; the processing module 1301 is further configured to perform noise reduction processing by using a target noise reduction parameter corresponding to the target noise reduction amount.

Optionally, the headset 1300 further includes a communication module 1302, where the communication module 1302 is configured to establish a communication connection with an electronic device, so as to implement the steps of sending and receiving data. The communication module 1302 may be an interface or an interface circuit, among other things.

Fig. 14 is a schematic structural diagram of a chip according to an embodiment of the present application. Chip 1400 includes one or more (including two) processors 1401, communication lines 1402, and communication interfaces 1403, and optionally, chip 1400 also includes memory 1404.

In some implementations, the memory 1404 stores the following elements: executable modules or data structures, or a subset thereof, or an extended set thereof.

The methods described in the embodiments of the present application described above may be applied to the processor 1401 or implemented by the processor 1401. The processor 1401 may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuitry of hardware in the processor 1401 or instructions in the form of software. The processor 1401 may be a general purpose processor (e.g., a microprocessor or a conventional processor), a digital signal processor (digital signal processing, DSP), an application specific integrated circuit (application specific integrated circuit, ASIC), an off-the-shelf programmable gate array (field-programmable gate array, FPGA) or other programmable logic device, discrete gates, transistor logic, or discrete hardware components, and the processor 1401 may implement or perform the methods, steps, and logic blocks disclosed in embodiments of the application.

The steps of the method disclosed in connection with the embodiments of the present application may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor. The software modules may be located in a state-of-the-art storage medium such as random access memory, read-only memory, programmable read-only memory, or charged erasable programmable memory (electrically erasable programmable read only memory, EEPROM). The storage medium is located in the memory 1404, and the processor 1401 reads the information in the memory 1404 and performs the steps of the method in combination with its hardware.

The processor 1401, the memory 1404, and the communication interface 1403 can communicate with each other via a communication line 1402.

In the above embodiments, the instructions stored by the memory for execution by the processor may be implemented in the form of a computer program product. The computer program product may be written in the memory in advance, or may be downloaded in the form of software and installed in the memory.

Embodiments of the present application also provide a computer program product comprising one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wired (e.g., coaxial cable, fiber optic, digital subscriber line (digital subscriber line, DSL), or wireless (e.g., infrared, wireless, microwave, etc.), or semiconductor medium (e.g., solid state disk, SSD)) or the like.

The embodiment of the application provides electronic equipment, which can execute any noise reduction parameter adaptation method.

The embodiment of the application also provides a computer readable storage medium. The methods described in the above embodiments may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. Computer readable media can include computer storage media and communication media and can include any medium that can transfer a computer program from one place to another. The storage media may be any target media that is accessible by a computer.

As one possible design, the computer-readable medium may include compact disk read-only memory (CD-ROM), RAM, ROM, EEPROM, or other optical disk memory; the computer readable medium may include disk storage or other disk storage devices. Moreover, any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk and disc, as used herein, includes Compact Disc (CD), laser disc, optical disc, digital versatile disc (digital versatile disc, DVD), floppy disk and blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers.

Combinations of the above should also be included within the scope of computer-readable media. The foregoing is merely illustrative embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about variations or substitutions within the technical scope of the present application, and the application should be covered. Therefore, the protection scope of the application is subject to the protection scope of the claims.

Claims

1. A method of adapting noise reduction parameters, the method comprising:

the method comprises the steps that a first electronic device obtains an environmental sound signal;

the first electronic equipment determines the noise reduction amounts respectively corresponding to the environmental sound signals under the preset multiple groups of noise reduction parameters to obtain multiple noise reduction amounts; the plurality of groups of noise reduction parameters are noise reduction parameters respectively corresponding to a plurality of auditory canal features;

the first electronic device determines a target noise reduction amount from the plurality of noise reduction amounts;

and the first electronic equipment performs noise reduction processing by utilizing the target noise reduction parameters corresponding to the target noise reduction amount.

2. The method of claim 1, wherein the first electronic device acquiring an ambient sound signal comprises:

The first electronic equipment receives first indication information from second electronic equipment; the first indication information is used for indicating that noise reduction parameter adaptation is performed on the first electronic equipment and fitting degree detection is performed on the earplug;

the first electronic device obtains the ambient sound signal in response to the first indication information.

3. The method according to claim 2, wherein the method further comprises:

the first electronic device detects the fitting degree of the earplug;

the first electronic device obtaining an ambient sound signal, comprising: and under the condition that the first electronic equipment determines that the earplug fitting degree detection passes, the first electronic equipment acquires the environment sound signal.

4. The method of claim 2, wherein the plurality of sets of noise reduction parameters comprises: a first set of noise reduction parameters and a second set of noise reduction parameters, the ambient sound signal comprising: a first ambient sound signal and a second ambient sound signal, the plurality of noise reduction amounts including a first noise reduction amount and a second noise reduction amount; the first electronic device determines noise reduction amounts respectively corresponding to the environmental sound signals under preset multiple groups of noise reduction parameters to obtain multiple noise reduction amounts, and the method comprises the following steps:

The first electronic device determines the noise reduction amount of the first environmental sound signal under the first set of noise reduction parameters to obtain the first noise reduction amount;

the first electronic device determines a noise reduction amount of the second environmental sound signal under the second set of noise reduction parameters, and obtains the second noise reduction amount.

5. The method of claim 4, wherein the first electronic device determines an amount of noise reduction of the first ambient sound signal under the first set of noise reduction parameters, and wherein after obtaining the first amount of noise reduction, the method further comprises:

the first electronic device detects the fitting degree of the earplug;

the first electronic device determining a noise reduction amount of the second environmental sound signal under the second set of noise reduction parameters, to obtain the second noise reduction amount, including: and under the condition that the first electronic equipment determines that the earplug fitting degree detection passes, the first electronic equipment determines the noise reduction amount of the second environmental sound signal under the second group of noise reduction parameters, and the second noise reduction amount is obtained.

6. The method of claim 2 or 5, wherein the first electronic device is an earphone, the earphone includes a feedforward microphone and a feedback microphone, and the first electronic device performs fit detection on the earplug, including:

The first electronic equipment plays preset audio;

the first electronic device collects a third sound signal corresponding to the preset audio frequency by using the feedforward microphone, and collects a fourth sound signal corresponding to the preset audio frequency by using the feedforward microphone;

the first electronic device performs noise suppression processing on the fourth sound signal by using the third sound signal to obtain a target sound signal;

the first electronic device obtains a sound variation based on the third sound signal and the target sound signal;

the first electronic device detects the fitting degree of the earplug based on the sound variation; wherein, earplug laminating degree detects and passes, includes: the sound variation is smaller than a preset threshold.

7. The method of claim 6, wherein the headset further comprises: the speaker, the first electronic device determines the noise reduction amounts corresponding to the environmental sound signals under the preset multiple groups of noise reduction parameters respectively, and obtains multiple noise reduction amounts, including:

the first electronic device determines noise reduction amounts respectively corresponding to the environmental sound signals under the preset multiple groups of noise reduction parameters based on a first transfer function, a second transfer function and/or a third transfer function, so as to obtain multiple noise reduction amounts;

Wherein the first transfer function is used for indicating a transfer path of sound between the feedforward microphone and the feedforward microphone, the second transfer function is used for indicating a transfer path of sound between the loudspeaker and the feedforward microphone, and the third transfer function is used for indicating a transfer path of sound between the feedforward microphone and a periosteum reference point deep in an auditory canal.

8. The method according to claim 6 or 7, wherein the noise reduction parameters of any one set include: noise reduction parameters for reducing noise of sound signals collected in the feedforward microphone and/or noise reduction parameters for reducing noise of sound signals collected in the feedforward microphone.

9. The method according to any one of claims 2-8, wherein after the first electronic device performs the noise reduction processing using the target noise reduction parameter corresponding to the target noise reduction amount, the method further includes:

the first electronic device sends second indication information to the second electronic device; the second indication information is used for indicating the second electronic equipment to display the indication information; the prompt information is used for prompting the first electronic equipment to complete the noise reduction parameter adaptation.

10. The method according to claim 1, wherein the target noise reduction amount is a noise reduction amount satisfying a preset bandwidth range, a preset low frequency bounce range, and/or a preset high frequency bounce range among the plurality of noise reduction amounts.

11. The method of claim 1, wherein the sound intensity of the ambient sound signal is greater than a first threshold and the sound intensity of the ambient sound signal is less than a second threshold.

12. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the computer program is caused by the processor to perform the method of any one of claims 1-11.

13. A computer readable storage medium storing a computer program, which when executed by a processor causes a computer to perform the method of any one of claims 1-11.