USRE48371E1 - Microphone array system - Google Patents
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- USRE48371E1 USRE48371E1 US16/052,623 US201816052623A USRE48371E US RE48371 E1 USRE48371 E1 US RE48371E1 US 201816052623 A US201816052623 A US 201816052623A US RE48371 E USRE48371 E US RE48371E
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S3/00—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received
- G01S3/80—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received using ultrasonic, sonic or infrasonic waves
- G01S3/802—Systems for determining direction or deviation from predetermined direction
- G01S3/805—Systems for determining direction or deviation from predetermined direction using adjustment of real or effective orientation of directivity characteristics of a transducer or transducer system to give a desired condition of signal derived from that transducer or transducer system, e.g. to give a maximum or minimum signal
- G01S3/8055—Systems for determining direction or deviation from predetermined direction using adjustment of real or effective orientation of directivity characteristics of a transducer or transducer system to give a desired condition of signal derived from that transducer or transducer system, e.g. to give a maximum or minimum signal adjusting orientation of a single directivity characteristic to produce maximum or minimum signal
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S3/00—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received
- G01S3/80—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received using ultrasonic, sonic or infrasonic waves
- G01S3/801—Details
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/18—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using ultrasonic, sonic, or infrasonic waves
- G01S5/22—Position of source determined by co-ordinating a plurality of position lines defined by path-difference measurements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R1/00—Details of transducers, loudspeakers or microphones
- H04R1/20—Arrangements for obtaining desired frequency or directional characteristics
- H04R1/32—Arrangements for obtaining desired frequency or directional characteristics for obtaining desired directional characteristic only
- H04R1/40—Arrangements for obtaining desired frequency or directional characteristics for obtaining desired directional characteristic only by combining a number of identical transducers
- H04R1/406—Arrangements for obtaining desired frequency or directional characteristics for obtaining desired directional characteristic only by combining a number of identical transducers microphones
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R3/00—Circuits for transducers, loudspeakers or microphones
- H04R3/005—Circuits for transducers, loudspeakers or microphones for combining the signals of two or more microphones
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M3/00—Automatic or semi-automatic exchanges
- H04M3/42—Systems providing special services or facilities to subscribers
- H04M3/56—Arrangements for connecting several subscribers to a common circuit, i.e. affording conference facilities
- H04M3/568—Arrangements for connecting several subscribers to a common circuit, i.e. affording conference facilities audio processing specific to telephonic conferencing, e.g. spatial distribution, mixing of participants
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R2201/00—Details of transducers, loudspeakers or microphones covered by H04R1/00 but not provided for in any of its subgroups
- H04R2201/40—Details of arrangements for obtaining desired directional characteristic by combining a number of identical transducers covered by H04R1/40 but not provided for in any of its subgroups
- H04R2201/401—2D or 3D arrays of transducers
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R2201/00—Details of transducers, loudspeakers or microphones covered by H04R1/00 but not provided for in any of its subgroups
- H04R2201/40—Details of arrangements for obtaining desired directional characteristic by combining a number of identical transducers covered by H04R1/40 but not provided for in any of its subgroups
- H04R2201/403—Linear arrays of transducers
Definitions
- Microphones constitute an important element in today's speech acquisition devices.
- most of the hands-free speech acquisition devices for example, mobile devices, lapels, headsets, etc., convert sound into electrical signals by using a microphone embedded within the speech acquisition device.
- the paradigm of a single microphone often does not work effectively because the microphone picks up many ambient noise signals in addition to the desired sound, specifically when the distance between a user and the microphone is more than a few inches. Therefore, there is a need for a microphone system that operates under a variety of different ambient noise conditions and that places fewer constraints on the user with respect to the microphone, thereby eliminating the need to wear the microphone or be in close proximity to the microphone.
- a microphone array that achieves directional gain in a preferred spatial direction while suppressing ambient noise from other directions.
- Conventional microphone arrays include arrays that are typically developed for applications such as radar and sonar, but are generally not suitable for hands-free or handheld speech acquisition devices. The main reason is that the desired sound signal has an extremely wide bandwidth relative to its center frequency, thereby rendering conventional narrowband techniques employed in the conventional microphone arrays unsuitable.
- the array size needs to be vastly increased, making the conventional microphone arrays large and bulky, and precluding the conventional microphone arrays from having broader applications, for example, in mobile and handheld communication devices.
- There is a need for a microphone array system that provides an effective response over a wide spectrum of frequencies while being unobtrusive in terms of size.
- target sound signal refers to a sound signal from a desired or target sound source, for example, a person's speech that needs to be enhanced.
- a microphone array system comprising an array of sound sensors positioned in an arbitrary configuration, a sound source localization unit, an adaptive beamforming unit, and a noise reduction unit, is provided. The sound source localization unit, the adaptive beamforming unit, and the noise reduction unit are in operative communication with the array of sound sensors.
- the array of sound sensors is, for example, a linear array of sound sensors, a circular array of sound sensors, or an arbitrarily distributed coplanar array of sound sensors.
- the array of sound sensors herein referred to as a “microphone array” receives sound signals from multiple disparate sound sources.
- the method disclosed herein can be applied on a microphone array with an arbitrary number of sound sensors having, for example, an arbitrary two dimensional (2D) configuration.
- the sound signals received by the sound sensors in the microphone array comprise the target sound signal from the target sound source among the disparate sound sources, and ambient noise signals.
- the sound source localization unit estimates a spatial location of the target sound signal from the received sound signals, for example, using a steered response power-phase transform.
- the adaptive beamforming unit performs adaptive beamforming for steering a directivity pattern of the microphone array in a direction of the spatial location of the target sound signal.
- the adaptive beamforming unit thereby enhances the target sound signal from the target sound source and partially suppresses the ambient noise signals.
- the noise reduction unit suppresses the ambient noise signals for further enhancing the target sound signal received from the target sound source.
- a delay between each of the sound sensors and an origin of the microphone array is determined as a function of distance between each of the sound sensors and the origin, a predefined angle between each of the sound sensors and a reference axis, and an azimuth angle between the reference axis and the target sound signal.
- the delay between each of the sound sensors and the origin of the microphone array is determined as a function of distance between each of the sound sensors and the origin, a predefined angle between each of the sound sensors and a first reference axis, an elevation angle between a second reference axis and the target sound signal, and an azimuth angle between the first reference axis and the target sound signal.
- This method of determining the delay enables beamforming for arbitrary numbers of sound sensors and multiple arbitrary microphone array configurations. The delay is determined, for example, in terms of number of samples. Once the delay is determined, the microphone array can be aligned to enhance the target sound signal from a specific direction.
- the adaptive beamforming unit comprises a fixed beamformer, a blocking matrix, and an adaptive filter.
- the fixed beamformer steers the directivity pattern of the microphone array in the direction of the spatial location of the target sound signal from the target sound source for enhancing the target sound signal, when the target sound source is in motion.
- the blocking matrix feeds the ambient noise signals to the adaptive filter by blocking the target sound signal from the target sound source.
- the adaptive filter adaptively filters the ambient noise signals in response to detecting the presence or absence of the target sound signal in the sound signals received from the disparate sound sources.
- the fixed beamformer performs fixed beamforming, for example, by filtering and summing output sound signals from the sound sensors.
- the adaptive filtering comprises sub-band adaptive filtering.
- the adaptive filter comprises an analysis filter bank, an adaptive filter matrix, and a synthesis filter bank.
- the analysis filter bank splits the enhanced target sound signal from the fixed beamformer and the ambient noise signals from the blocking matrix into multiple frequency sub-bands.
- the adaptive filter matrix adaptively filters the ambient noise signals in each of the frequency sub-bands in response to detecting the presence or absence of the target sound signal in the sound signals received from the disparate sound sources.
- the synthesis filter bank synthesizes a full-band sound signal using the frequency sub-bands of the enhanced target sound signal.
- the adaptive beamforming unit further comprises an adaptation control unit for detecting the presence of the target sound signal and adjusting a step size for the adaptive filtering in response to detecting the presence or the absence of the target sound signal in the sound signals received from the disparate sound sources.
- the noise reduction unit suppresses the ambient noise signals for further enhancing the target sound signal from the target sound source.
- the noise reduction unit performs noise reduction, for example, by using a Wiener-filter based noise reduction algorithm, a spectral subtraction noise reduction algorithm, an auditory transform based noise reduction algorithm, or a model based noise reduction algorithm.
- the noise reduction unit performs noise reduction in multiple frequency sub-bands employed for sub-band adaptive beamforming by the analysis filter bank of the adaptive beamforming unit.
- the microphone array system disclosed herein comprising the microphone array with an arbitrary number of sound sensors positioned in arbitrary configurations can be implemented in handheld devices, for example, the iPad® of Apple Inc., the iPhone® of Apple Inc., smart phones, tablet computers, laptop computers, etc.
- the microphone array system disclosed herein can further be implemented in conference phones, video conferencing applications, or any device or equipment that needs better speech inputs.
- FIG. 1 illustrates a method for enhancing a target sound signal from multiple sound signals.
- FIG. 2 illustrates a system for enhancing a target sound signal from multiple sound signals.
- FIG. 3 exemplarily illustrates a microphone array configuration showing a microphone array having N sound sensors arbitrarily distributed on a circle.
- FIG. 4 exemplarily illustrates a graphical representation of a filter-and-sum beamforming algorithm for determining output of the microphone array having N sound sensors.
- FIG. 5 exemplarily illustrates distances between an origin of the microphone array and sound sensor M 1 and sound sensor M 3 in the circular microphone array configuration, when the target sound signal is at an angle ⁇ from the Y-axis.
- FIG. 6A exemplarily illustrates a table showing the distance between each sound sensor in a circular microphone array configuration from the origin of the microphone array, when the target sound source is in the same plane as that of the microphone array.
- FIG. 6B exemplarily illustrates a table showing the relationship of the position of each sound sensor in the circular microphone array configuration and its distance to the origin of the microphone array, when the target sound source is in the same plane as that of the microphone array.
- FIG. 7A exemplarily illustrates a graphical representation of a microphone array, when the target sound source is in a three dimensional plane.
- FIG. 7B exemplarily illustrates a table showing delay between each sound sensor in a circular microphone array configuration and the origin of the microphone array, when the target sound source is in a three dimensional plane.
- FIG. 7C exemplarily illustrates a three dimensional working space of the microphone array, where the target sound signal is incident at an elevation angle ⁇
- FIG. 8 exemplarily illustrates a method for estimating a spatial location of the target sound signal from the target sound source by a sound source localization unit using a steered response power-phase transform.
- FIG. 9A exemplarily illustrates a graph showing the value of the steered response power-phase transform for every 10°.
- FIG. 9B exemplarily illustrates a graph representing the estimated target sound signal from the target sound source.
- FIG. 10 exemplarily illustrates a system for performing adaptive beamforming by an adaptive beamforming unit.
- FIG. 11 exemplarily illustrates a system for sub-band adaptive filtering.
- FIG. 12 exemplarily illustrates a graphical representation showing the performance of a perfect reconstruction filter bank.
- FIG. 13 exemplarily illustrates a block diagram of a noise reduction unit that performs noise reduction using a Wiener-filter based noise reduction algorithm.
- FIG. 14 exemplarily illustrates a hardware implementation of the microphone array system.
- FIGS. 15A-15C exemplarily illustrate a conference phone comprising an eight-sensor microphone array.
- FIG. 16A exemplarily illustrates a layout of an eight-sensor microphone array for a conference phone.
- FIG. 16B exemplarily illustrates a graphical representation of eight spatial regions to which the eight-sensor microphone array of FIG. 16A responds.
- FIGS. 16C-16D exemplarily illustrate computer simulations showing the steering of the directivity patterns of the eight-sensor microphone array of FIG. 16A in the directions of 15° and 60° respectively, in the frequency range 300 Hz to 5 kHz.
- FIGS. 16E-16L exemplarily illustrate graphical representations showing the directivity patterns of the eight-sensor microphone array of FIG. 16A in each of the eight spatial regions, where each directivity pattern is an average response from 300 Hz to 5000 Hz.
- FIG. 17A exemplarily illustrates a graphical representation of four spatial regions to which a four-sensor microphone array for a wireless handheld device responds.
- FIGS. 17B-17I exemplarily illustrate computer simulations showing the directivity patterns of the four-sensor microphone array of FIG. 17A with respect to azimuth and frequency.
- FIGS. 18A-18B exemplarily illustrate a microphone array configuration for a tablet computer.
- FIG. 18C exemplarily illustrates an acoustic beam formed using the microphone array configuration of FIGS. 18A-18B according to the method and system disclosed herein.
- FIGS. 18D-18G exemplarily illustrate graphs showing processing results of the adaptive beamforming unit and the noise reduction unit for the microphone array configuration of FIG. 18B , in both a time domain and a spectral domain for the tablet computer.
- FIGS. 19A-19F exemplarily illustrate tables showing different microphone array configurations and the corresponding values of delay ⁇ n , for the sound sensors in each of the microphone array configurations.
- FIG. 1 illustrates a method for enhancing a target sound signal from multiple sound signals.
- target sound signal refers to a desired sound signal from a desired or target sound source, for example, a person's speech that needs to be enhanced.
- the method disclosed herein provides 101 a microphone array system comprising an array of sound sensors positioned in an arbitrary configuration, a sound source localization unit, an adaptive beamforming unit, and a noise reduction unit.
- the sound source localization unit, the adaptive beamforming unit, and the noise reduction unit are in operative communication with the array of sound sensors.
- the microphone array system disclosed herein employs the array of sound sensors positioned in an arbitrary configuration, the sound source localization unit, the adaptive beamforming unit, and the noise reduction unit for enhancing a target sound signal by acoustic beam forming in the direction of the target sound signal in the presence of ambient noise signals.
- the array of sound sensors herein referred to as a “microphone array” comprises multiple or an arbitrary number of sound sensors, for example, microphones, operating in tandem.
- the microphone array refers to an array of an arbitrary number of sound sensors positioned in an arbitrary configuration.
- the sound sensors are transducers that detect sound and convert the sound into electrical signals.
- the sound sensors are, for example, condenser microphones, piezoelectric microphones, etc.
- the sound sensors receive 102 sound signals from multiple disparate sound sources and directions.
- the target sound source that emits the target sound signal is one of the disparate sound sources.
- the term “sound signals” refers to composite sound energy from multiple disparate sound sources in an environment of the microphone array.
- the sound signals comprise the target sound signal from the target sound source and the ambient noise signals.
- the sound sensors are positioned in an arbitrary planar configuration herein referred to as a “microphone array configuration”, for example, a linear configuration, a circular configuration, any arbitrarily distributed coplanar array configuration, etc.
- the microphone array provides a higher response to the target sound signal received from a particular direction than to the sound signals from other directions.
- a plot of the response of the microphone array versus frequency and direction of arrival of the sound signals is referred to as a directivity pattern of the microphone array.
- the sound source localization unit estimates 103 a spatial location of the target sound signal from the received sound signals.
- the sound source localization unit estimates the spatial location of the target sound signal from the target sound source, for example, using a steered response power-phase transform as disclosed in the detailed description of FIG. 8 .
- the adaptive beamforming unit performs adaptive beamforming 104 by steering the directivity pattern of the microphone array in a direction of the spatial location of the target sound signal, thereby enhancing the target sound signal, and partially suppressing the ambient noise signals.
- Beamforming refers to a signal processing technique used in the microphone array for directional signal reception, that is, spatial filtering. This spatial filtering is achieved by using adaptive or fixed methods. Spatial filtering refers to separating two signals with overlapping frequency content that originate from different spatial locations.
- the noise reduction unit performs noise reduction by further suppressing 105 the ambient noise signals and thereby further enhancing the target sound signal.
- the noise reduction unit performs the noise reduction, for example, by using a Wiener-filter based noise reduction algorithm, a spectral subtraction noise reduction algorithm, an auditory transform based noise reduction algorithm, or a model based noise reduction algorithm.
- FIG. 2 illustrates a system 200 for enhancing a target sound signal from multiple sound signals.
- the system 200 herein referred to as a “microphone array system”, comprises the array 201 of sound sensors positioned in an arbitrary configuration, the sound source localization unit 202 , the adaptive beamforming unit 203 , and the noise reduction unit 207 .
- the array 201 of sound sensors is in operative communication with the sound source localization unit 202 , the adaptive beamforming unit 203 , and the noise reduction unit 207 .
- the microphone array 201 is, for example, a linear array of sound sensors, a circular array of sound sensors, or an arbitrarily distributed coplanar array of sound sensors.
- the microphone array 201 achieves directional gain in any preferred spatial direction and frequency band while suppressing signals from other spatial directions and frequency bands.
- the sound sensors receive the sound signals comprising the target sound signal and ambient noise signals from multiple disparate sound sources, where one of the disparate sound sources is the target sound source that emits the target sound signal.
- the sound source localization unit 202 estimates the spatial location of the target sound signal from the received sound signals.
- the sound source localization unit 202 uses, for example, a steered response power-phase transform, for estimating the spatial location of the target sound signal from the target sound source.
- the adaptive beamforming unit 203 steers the directivity pattern of the microphone array 201 in a direction of the spatial location of the target sound signal, thereby enhancing the target sound signal and partially suppressing the ambient noise signals.
- the adaptive beamforming unit 203 comprises a fixed beamformer 204 , a blocking matrix 205 , and an adaptive filter 206 as disclosed in the detailed description of FIG. 10 .
- the fixed beamformer 204 performs fixed beamforming by filtering and summing output sound signals from each of the sound sensors in the microphone array 201 as disclosed in the detailed description of FIG. 4 .
- the adaptive filter 206 is implemented as a set of sub-band adaptive filters.
- the adaptive filter 206 comprises an analysis filter bank 206 a, an adaptive filter matrix 206 b, and a synthesis filter bank 206 c as disclosed in the detailed description of FIG. 11 .
- the noise reduction unit 207 further suppresses the ambient noise signals for further enhancing the target sound signal.
- the noise reduction unit 207 is, for example, a Wiener-filter based noise reduction unit, a spectral subtraction noise reduction unit, an auditory transform based noise reduction unit, or a model based noise reduction unit.
- FIG. 3 exemplarily illustrates a microphone array configuration showing a microphone array 201 having N sound sensors 301 arbitrarily distributed on a circle 302 with a diameter “d”, where “N” refers to the number of sound sensors 301 in the microphone array 201 .
- N refers to the number of sound sensors 301 in the microphone array 201 .
- N refers to the number of sound sensors 301 in the microphone array 201 .
- N refers to the number of sound sensors 301 in the microphone array 201 .
- N refers to the number of sound sensors 301 in the microphone array 201 .
- N refers to the number of sound sensors 301 in the microphone array 201 .
- N refers to the number of sound sensors 301 in the microphone array 201 .
- the sound sensor 301 M 0 is positioned at an acute angle ⁇ 0 from the Y-axis; the sound sensor 301 M 1 is positioned at an acute angle ⁇ 1 from the Y-axis; the sound sensor 301 M 2 is positioned at an acute angle ⁇ 2 from the Y-axis; and the sound sensor 301 M 3 is positioned at an acute angle ⁇ 3 from the Y-axis.
- a filter-and-sum beamforming algorithm determines the output “y” of the microphone array 201 having N sound sensors 301 as disclosed in the detailed description of FIG. 4 .
- FIG. 4 exemplarily illustrates a graphical representation of the filter-and-sum beamforming algorithm for determining the output of the microphone array 201 having N sound sensors 301 .
- the microphone array configuration is arbitrary in a two dimensional plane, for example, a circular array configuration where the sound sensors 301 M 0 , M 1 , M 2 , . . . , M N , M N ⁇ 1 of the microphone array 201 are arbitrarily positioned on a circle 302 .
- the sound signals received by each of the sound sensors 301 in the microphone array 201 are inputs to the microphone array 201 .
- the adaptive beamforming unit 203 employs the filter-and-sum beamforming algorithm that applies independent weights to each of the inputs to the microphone array 201 such that directivity pattern of the microphone array 201 is steered to the spatial location of the target sound signal as determined by the sound source localization unit 202 .
- the spatial directivity pattern H ( ⁇ , ⁇ ) for the target sound signal from angle ⁇ with normalized frequency w is defined as:
- X is the signal received at the origin of the circular microphone array 201
- W is the frequency response of the real-valued finite impulse response (FIR) filter w.
- FIG. 5 exemplarily illustrates distances between an origin of the microphone array 201 and the sound sensor 301 M 1 and the sound sensor 301 M 3 in the circular microphone array configuration, when the target sound signal is at an angle ⁇ from the Y-axis.
- the microphone array system 200 disclosed herein can be used with an arbitrary directivity pattern for arbitrarily distributed sound sensors 301 .
- the parameter that is defined to achieve beamformer coefficients is the value of delay ⁇ n for each sound sensor 301 .
- ⁇ n an origin or a reference point of the microphone array 201 is defined; and then the distance d n between each sound sensor 301 and the origin is measured, and then the angle ⁇ n of each sound sensor 301 biased from a vertical axis is measured.
- the angle between the Y-axis and the line joining the origin and the sound sensor 301 M 0 is ⁇ 0
- the angle between the Y-axis and the line joining the origin and the sound sensor 301 M 1 is ⁇ 1
- the angle between the Y-axis and the line joining the origin and the sound sensor 301 M 2 is ⁇ 2
- the angle between the Y-axis and the line joining the origin and the sound sensor 301 M 3 is ⁇ 3
- the distance between the origin O and the sound sensor 301 M 1 , and the origin O and the sound sensor 301 M 3 when the incoming target sound signal from the target sound source is at an angle ⁇ from the Y-axis is denoted as ⁇ 1 and ⁇ 3 , respectively.
- the detailed description refers to a circular microphone array configuration; however, the scope of the microphone array system 200 disclosed herein is not limited to the circular microphone array configuration but may be extended to include a linear array configuration, an arbitrarily distributed coplanar array configuration, or a microphone array configuration with any arbitrary geometry.
- FIG. 6A exemplarily illustrates a table showing the distance between each sound sensor 301 in a circular microphone array configuration from the origin of the microphone array 201 , when the target sound source is in the same plane as that of the microphone array 201 .
- the distance measured in meters and the corresponding delay ( ⁇ ) measured in number of samples is exemplarily illustrated in FIG. 6A .
- the delay ( ⁇ ) between each of the sound sensors 301 and the origin of the microphone array 201 is determined as a function of distance (d) between each of the sound sensors 301 and the origin, a predefined angle ( ⁇ ) between each of the sound sensors 301 and a reference axis (Y) as exemplarily illustrated in FIG. 5 , and an azimuth angle ( ⁇ ) between the reference axis (Y) and the target sound signal.
- the determined delay ( ⁇ ) is represented in terms of number of samples.
- the time delay between the signal received by the (n+1) th sound sensor 301 “x n ,” and the origin of the microphone array 201 is herein denoted as “t” measured in seconds.
- the sound signals received by the microphone array 201 which are in analog form are converted into digital sound signals by sampling the analog sound signals at a particular frequency, for example, 8000 Hz. That is, the number of samples in each second is 8000.
- FIG. 6B exemplarily illustrates a table showing the relationship of the position of each sound sensor 301 in the circular microphone array configuration and its distance to the origin of the microphone array 201 , when the target sound source is in the same plane as that of the microphone array 201 .
- the distance measured in meters and the corresponding delay ( ⁇ ) measured in number of samples is exemplarily illustrated in FIG. 6B .
- the method of determining the delay ( ⁇ ) enables beamforming for arbitrary numbers of sound sensors 301 and multiple arbitrary microphone array configurations. Once the delay ( ⁇ ) is determined, the microphone array 201 can be aligned to enhance the target sound signal from a specific direction.
- FIGS. 7A-7C exemplarily illustrate an embodiment of a microphone array 201 when the target sound source is in a three dimensional plane.
- the delay ( ⁇ ) between each of the sound sensors 301 and the origin of the microphone array 201 is determined as a function of distance (d) between each of the sound sensors 301 and the origin, a predefined angle ( ⁇ ) between each of the sound sensors 301 and a first reference axis (Y), an elevation angle ( ⁇ ) between a second reference axis (Z) and the target sound signal, and an azimuth angle ( ⁇ ) between the first reference axis (Y) and the target sound signal.
- the determined delay ( ⁇ ) is represented in terms of number of samples. The determination of the delay enables beamforming for arbitrary numbers of the sound sensors 301 and multiple arbitrary configurations of the microphone array 201 .
- FIG. 7A exemplarily illustrates a graphical representation of a microphone array 201 , when the target sound source in a three dimensional plane.
- the target sound signal from the target sound source is received from the direction ( ⁇ , ⁇ ) with reference to the origin of the microphone array 201 , where ⁇ is the elevation angle and ⁇ is the azimuth.
- FIG. 7B exemplarily illustrates a table showing delay between each sound sensor 301 in a circular microphone array configuration and the origin of the microphone array 201 , when the target sound source is in a three dimensional plane.
- the target sound source in a three dimensional plane emits a target sound signal from a spatial location ( ⁇ , ⁇ ).
- the distances between the origin O and the sound sensors 301 M 0 , M 1 , M 2 , and M 3 when the incoming target sound signal from the target sound source is at an angle ( ⁇ , ⁇ ) from the Z-axis and the Y-axis respectively, are denoted as ⁇ 0 , ⁇ 1 , ⁇ 2 , and ⁇ 3 respectively.
- FIG. 7C exemplarily illustrates a three dimensional working space of the microphone array 201 , where the target sound signal is incident at an elevation angle ⁇ , where ⁇ is a specific angle and is a variable representing the elevation angle.
- ⁇ is a specific angle and is a variable representing the elevation angle.
- all four sound sensors 301 M 0 , M 1 , M 2 , and M 3 receive the same target sound signal for 0° ⁇ 0 ⁇ 360°.
- the value of ⁇ is determined by the sample delay between each of the sound sensors 301 and the origin of the microphone array 201 .
- the adaptive beamforming unit 203 enhances sound from this range and suppresses sound signals from other directions, for example, S 1 and S 2 treating them as ambient noise signals.
- the beamforming is performed by a delay-sum method. In another embodiment, the beamforming is performed by a filter-sum method.
- FIG. 8 exemplarily illustrates a method for estimating a spatial location of the target sound signal from the target sound source by the sound source localization unit 202 using a steered response power-phase transform (SRP-PHAT).
- SRP-PHAT combines the advantages of sound source localization methods, for example, the time difference of arrival (TDOA) method and the steered response power (SRP) method.
- the TDOA method performs the time delay estimation of the sound signals relative to a pair of spatially separated sound sensors 301 .
- the estimated time delay is a function of both the location of the target sound source and the position of each of the sound sensors 301 in the microphone array 201 .
- the location of the target sound source can be determined.
- a filter-and-sum beamforming algorithm is applied to the microphone array 201 for sound signals in the direction of each of the disparate sound sources.
- the location of the target sound source corresponds to the direction in which the output of the filter-and-sum beamforming has the largest response power.
- the TDOA based localization is suitable under low to moderate reverberation conditions.
- the SRP method requires shorter analysis intervals and exhibits an elevated insensitivity to environmental conditions while not allowing for use under excessive multi-path.
- the SRP-PHAT method disclosed herein combines the advantages of the TDOA method and the SRP method, has a decreased sensitivity to noise and reverberations compared to the TDOA method, and provides more precise location estimates than existing localization methods.
- the correlation value corr(D it ) between the t th pair of the sound sensors 301 corresponding to the delay of D it is then calculated 802 .
- the correlation value is given 803 by:
- FIGS. 9A-9B exemplarily illustrate graphs showing the results of sound source localization performed using the steered response power-phase transform (SRP-PHAT).
- FIG. 9A exemplarily illustrates a graph showing the value of the SRP-PHAT for every 10° The maximum value corresponds to the location of the target sound signal from the target sound source.
- FIG. 9B exemplarily illustrates a graph representing the estimated target sound signal from the target sound source and a ground truth.
- FIG. 10 exemplarily illustrates a system for performing adaptive beamforming by the adaptive beamforming unit 203 .
- the algorithm for fixed beamforming is disclosed with reference to equations (3) through (8) in the detailed description of FIG. 4 , FIGS. 6A-6B , and FIGS. 7A-7C , which is extended herein to adaptive beamforming.
- Adaptive beamforming refers to a beamforming process where the directivity pattern of the microphone array 201 is adaptively steered in the direction of a target sound signal emitted by a target sound source in motion.
- Adaptive beamforming achieves better ambient noise suppression than fixed beamforming. This is because the target direction of arrival, which is assumed to be stable in fixed beamforming, changes with the movement of the target sound source.
- the gains of the sound sensors 301 which are assumed uniform in fixed beamforming, exhibit significant distribution. All these factors reduce speech quality.
- adaptive beamforming adaptively performs beam steering and null steering; therefore, the adaptive beamforming method is more robust against steering error caused by the array imperfection mentioned above.
- the adaptive beamforming unit 203 disclosed herein comprises a fixed beamformer 204 , a blocking matrix 205 , an adaptation control unit 208 , and an adaptive filter 206 .
- the fixed beamformer 204 adaptively steers the directivity pattern of the microphone array 201 in the direction of the spatial location of the target sound signal from the target sound source for enhancing the target sound signal, when the target sound source is in motion.
- the sound sensors 301 in the microphone array 201 receive the sound signals S 1 , . . . , S 4 , which comprise both the target sound signal from the target sound source and the ambient noise signals.
- the received sound signals are fed as input to the fixed beamformer 204 and the blocking matrix 205 .
- the fixed beamformer 204 outputs a signal “b”.
- the fixed beamformer 204 performs fixed beamforming by filtering and summing output sound signals from the sound sensors 301 .
- the blocking matrix 205 outputs a signal “z” which primarily comprises the ambient noise signals.
- the blocking matrix 205 blocks the target sound signal from the target sound source and feeds the ambient noise signals to the adaptive filter 206 to minimize the effect of the ambient noise signals on the enhanced target sound signal.
- the output “z” of the blocking matrix 205 may contain some weak target sound signals due to signal leakage. If the adaptation is active when the target sound signal, for example, speech is present, the speech is cancelled out with the noise. Therefore, the adaptation control unit 208 determines when the adaptation should be applied.
- the adaptation control unit 208 comprises a target sound signal detector 208 a and a step size adjusting module 208 b.
- the target sound signal detector 208 a of the adaptation control unit 208 detects the presence or absence of the target sound signal, for example, speech.
- the step size adjusting module 208 b adjusts the step size for the adaptation process such that when the target sound signal is present, the adaptation is slow for preserving the target sound signal, and when the target sound signal is absent, adaptation is quick for better cancellation of the ambient noise signals.
- FIG. 11 exemplarily illustrates a system for sub-band adaptive filtering.
- Sub-band adaptive filtering involves separating a full-band signal into different frequency ranges called sub-bands prior to the filtering process.
- the sub-band adaptive filtering using sub-band adaptive filters lead to a higher convergence speed compared to using a full-band adaptive filter.
- the noise reduction unit 207 disclosed herein is developed in a sub-band, whereby applying sub-band adaptive filtering provides the same sub-band framework for both beamforming and noise reduction, and thus saves on computational cost.
- the adaptive filter 206 comprises an analysis filter bank 206 a, an adaptive filter matrix 206 b, and a synthesis filter bank 206 c.
- the analysis filter bank 206 a splits the enhanced target sound signal (b) from the fixed beamformer 204 and the ambient noise signals (z) from the blocking matrix 205 exemplarily illustrated in FIG. 10 into multiple frequency sub-bands.
- the analysis filter bank 206 a performs an analysis step where the outputs of the fixed beamformer 204 and the blocking matrix 205 are split into frequency sub bands.
- the sub-band adaptive filter 206 typically has a shorter impulse response than its full band counterpart.
- the step size of the sub-bands can be adjusted individually for each sub-band by the step-size adjusting module 208 b, which leads to a higher convergence speed compared to using a full band adaptive filter.
- the adaptive filter matrix 206 b adaptively filters the ambient noise signals in each of the frequency sub-bands in response to detecting the presence or absence of the target sound signal in the sound signals received from the disparate sound sources.
- the adaptive filter matrix 206 b performs an adaptation step, where the adaptive filter 206 is adapted such that the filter output only contains the target sound signal, for example, speech.
- the synthesis filter bank 206 c synthesizes a full-band sound signal using the frequency sub-bands of the enhanced target sound signal.
- the synthesis filter bank 206 c performs a synthesis step where the sub-band sound signal is synthesized into a full-band sound signal. Since the noise reduction and the beamforming are performed in the same sub-band framework, the noise reduction as disclosed in the detailed description of FIG. 13 , by the noise reduction unit 207 is performed prior to the synthesis step, thereby reducing computation.
- the analysis filter bank 206 a is implemented as a perfect-reconstruction filter bank, where the output of the synthesis filter bank 206 c after the analysis and synthesis steps perfectly matches the input to the analysis filter bank 206 a. That is, all the sub-band analysis filter banks 206 a are factorized to operate on prototype filter coefficients and a modulation matrix is used to take advantage of the fast Fourier transform (FFT). Both analysis and synthesize steps require performing frequency shifts in each sub-band, which involves complex value computations with cosines and sinusoids. The method disclosed herein employs the FFT to perform the frequency shifts required in each sub-band, thereby minimizing the amount of multiply-accumulate operations.
- the implementation of the sub-band analysis filter bank 206 a as a perfect-reconstruction filter bank ensures the quality of the target sound signal by ensuring that the sub-band analysis filter banks 206 a do not distort the target sound signal itself.
- FIG. 12 exemplarily illustrates a graphical representation showing the performance of a perfect-reconstruction filter bank.
- the solid line represents the input signal to the analysis filter bank 206 a, and the circles represent the output of the synthesis filter bank 206 c after analysis and synthesis.
- the output of the synthesis filter bank 206 c perfectly matches the input, and is therefore referred to as the perfect-reconstruction filter bank.
- FIG. 13 exemplarily illustrates a block diagram of a noise reduction unit 207 for performing noise reduction using, for example, a Wiener-filter based noise reduction algorithm.
- the noise reduction unit 207 performs noise reduction for further suppressing the ambient noise signals after adaptive beamforming, for example, by using a Wiener-filter based noise reduction algorithm, a spectral subtraction noise reduction algorithm, an auditory transform based noise reduction algorithm, or a model based noise reduction algorithm.
- the noise reduction unit 207 performs noise reduction in multiple frequency sub-bands employed by an analysis filter bank 206 a of the adaptive beamforming unit 203 for sub-band adaptive beamforming.
- the noise reduction is performed using the Wiener-filter based noise reduction algorithm.
- the noise reduction unit 207 explores the short-term and long-term statistics of the target sound signal, for example, speech, and the ambient noise signals, and the wide-band and narrowband signal-to-noise ratio (SNR) to support a Wiener gain filtering.
- the noise reduction unit 207 comprises a target sound signal statistics analyzer 207 a, a noise statistics analyzer 207 b, a signal-to-noise ratio (SNR) analyzer 207 c, and a Wiener filter 207 d.
- the target sound signal statistics analyzer 207 a explores the short-term and long-term statistics of the target sound signal, for example, speech.
- the noise statistics analyzer 207 b explores the short-term and long-term statistics of the ambient noise signals.
- the SNR analyzer 207 c of the noise reduction unit 207 explores the wide-band and narrow-band signal-to-noise ratio (SNR). After the spectrum of noisy-speech passes through the Wiener filter 207 d, an estimation of the clean-speech spectrum is generated.
- the synthesis filter bank 206 c by an inverse process of the analysis filter bank 206 a, reconstructs the signals of the clean speech into a full-band signal, given the estimated spectrum of the clean speech.
- FIG. 14 exemplarily illustrates a hardware implementation of the microphone array system 200 disclosed herein.
- the hardware implementation of the microphone array system 200 disclosed in the detailed description of FIG. 2 comprises the microphone array 201 having an arbitrary number of sound sensors 301 positioned in an arbitrary configuration, multiple microphone amplifiers 1401 , one or more audio codecs 1402 , a digital signal processor (DSP) 1403 , a flash memory 1404 , one or more power regulators 1405 and 1406 , a battery 1407 , a loudspeaker or a headphone 1408 , and a communication interface 1409 .
- the microphone array 201 comprises, for example, four or eight sound sensors 301 arranged in a linear or a circular microphone array configuration. The microphone array 201 receives the sound signals.
- the microphone array 201 comprises four sound sensors 301 that pick up the sound signals.
- Four microphone amplifiers 1401 receive the output sound signals from the four sound sensors 301 .
- the microphone amplifiers 1401 also referred to as preamplifiers provide a gain to boost the power of the received sound signals for enhancing the sensitivity of the sound sensors 301 .
- the gain of the preamplifiers is 20 dB.
- the DSP 1403 either stores the processed signal from the DSP 1403 in a memory device for a recording application, or transmits the processed signal to the communication interface 1409 .
- the recording application comprises, for example, storing the processed signal onto the memory device for the purposes of playing back the processed signal at a later time.
- the communication interface 1409 transmits the processed signal, for example, to a computer, the internet, or a radio for communicating the processed signal.
- the microphone array system 200 disclosed herein implements a two-way communication device where the signal received from the communication interface 1409 is processed by the DSP 1403 and the processed signal is then played through the loudspeaker or the headphone 1408 .
- the flash memory 1404 stores the code for the DSP 1403 and compressed audio signals.
- the DSP 1403 reads the code from the flash memory 1404 into an internal memory of the DSP 1403 and then starts executing the code.
- the audio codec 1402 can be configured for encoding and decoding audio or sound signals during the start up stage by writing to registers of the DSP 1403 .
- two four-channel audio codec 1402 chips may be used.
- the power regulators 1405 and 1406 for example, linear power regulators 1405 and switch power regulators 1406 provide appropriate voltage and current supply for all the components, for example, 201 , 1401 , 1402 , 1403 , etc., mechanically supported and electrically connected on a circuit board.
- a universal serial bus (USB) control is built into the DSP 1403 .
- the battery 1407 is used for powering the microphone array system 200 .
- the microphone array system 200 disclosed herein is implemented on a mixed signal circuit board having a six-layer printed circuit board (PCB).
- noisy digital signals easily contaminate the low voltage analog sound signals from the sound sensors 301 . Therefore, the layout of the mixed signal circuit board is carefully partitioned to isolate the analog circuits from the digital circuits.
- both the inputs and outputs of the microphone amplifiers 1401 are in analog form, the microphone amplifiers 1401 are placed in a digital region of the mixed signal circuit board because of their high power consumption 1401 and switch amplifier nature.
- the linear power regulators 1405 are deployed in an analog region of the mixed signal circuit board due to the low noise property exhibited by the linear power regulators 1405 .
- Five power regulators, for example, 1405 are designed in the microphone array system 200 circuits to ensure quality.
- the switch power regulators 1406 achieve an efficiency of about 95% of the input power and have high output current capacity; however their outputs are too noisy for analog circuits.
- the efficiency of the linear power regulators 1405 is determined by the ratio of the output voltage to the input voltage, which is lower than that of the switch power regulators 1406 in most cases.
- the regulator outputs utilized in the microphone array system 200 circuits are stable, quiet, and suitable for the low power analog circuits.
- the microphone array system 200 is designed with a microphone array 201 having dimensions of 10 cm ⁇ 2.5 cm ⁇ 1.5 cm, a USB interface, and an assembled PCB supporting the microphone array 201 and a DSP 1403 having a low power consumption design devised for portable devices, a four-channel codec 1402 , and a flash memory 1404 .
- the DSP 1403 chip is powerful enough to handle the DSP 1403 computations in the microphone array system 200 disclosed herein.
- the hardware configuration of this example can be used for any microphone array configuration, with suitable modifications to the software.
- the adaptive beamforming unit 203 of the microphone array system 200 is implemented as hardware with software instructions programmed on the DSP 1403 .
- the DSP 1403 is programmed for beamforming, noise reduction, echo cancellation, and USB interfacing according to the method disclosed herein, and fine tuned for optimal performance.
- FIGS. 15A-15C exemplarily illustrate a conference phone 1500 comprising an eight-sensor microphone array 201 .
- the eight-sensor microphone array 201 comprises eight sound sensors 301 arranged in a configuration as exemplarily illustrated in FIG. 15A .
- a top view of the conference phone 1500 comprising the eight-sensor microphone array 201 is exemplarily illustrated in FIG. 15A .
- a front view of the conference phone 1500 comprising the eight-sensor microphone array 201 is exemplarily illustrated in FIG. 15B .
- a headset 1502 that can be placed in a base holder 1501 of the conference phone 1500 having the eight-sensor microphone array 201 is exemplarily illustrated in FIG. 15C .
- the microphone array system 200 disclosed herein with broadband beamforming can be configured for a mobile phone, a tablet computer, etc., for speech enhancement and noise reduction.
- FIG. 16A exemplarily illustrates a layout of an eight-sensor microphone array 201 for a conference phone 1500 .
- a circular microphone array 201 in which eight sound sensors 301 are mounted on the surface of the conference phone 1500 as exemplarily illustrated in FIG. 15A .
- the conference phone 1500 has a removable handset 1502 on top, and hence the microphone array system 200 is configured to accommodate the handset 1502 as exemplarily illustrated in FIGS. 15A-15C .
- the circular microphone array 201 has a diameter of about four inches.
- Eight sound sensors 301 for example, microphones, M 0 , M 1 , M 2 , M 3 , M 4 , M 5 , M 6 , and M 7 are distributed along a circle 302 on the conference phone 1500 .
- Microphones M 4 -M 7 are separated by 90 degrees from each other, and microphones M o -M 3 are rotated counterclockwise by 60 degrees from microphone M 4 -M 7 respectively.
- FIG. 16B exemplarily illustrates a graphical representation of eight spatial regions to which the eight-sensor microphone array 201 of FIG. 16A responds.
- the space is divided into eight spatial regions with equal spaces centered at 15°, 60°, 105°, 150°, 195°, 240°, 285°, and 330° respectively.
- the adaptive beamforming unit 203 configures the eight-sensor microphone array 201 to automatically point to one of these eight spatial regions according to the location of the target sound signal from the target sound source as estimated by the sound source localization unit 202 .
- FIGS. 16C-16D exemplarily illustrate computer simulations showing the steering of the directivity patterns of the eight-sensor microphone array 201 of FIG. 16A , in the directions 15° and 60° respectively, in the frequency range 300 Hz to 5 kHz.
- FIG. 16C exemplarily illustrates the computer simulation result showing the directivity pattern of the microphone array 201 when the target sound signal is received from the target sound source in the spatial region centered at 15°.
- the computer simulation for verifying the performance of the adaptive beamforming unit 203 when the target sound signal is received from the target sound source in the spatial region centered at 15° uses the following parameters:
- Passband ( ⁇ p , ⁇ p ) ⁇ 300-5000 Hz, ⁇ 5°-35° ⁇ , designed spatial directivity pattern is 1.
- Stopband ( ⁇ s , ⁇ s ) ⁇ 300 ⁇ 5000 Hz, ⁇ 180° ⁇ 15°+45° ⁇ 180° ⁇ , the designed spatial directivity pattern is 0.
- FIG. 16D exemplarily illustrates the computer simulation result showing the directivity pattern of the microphone array 201 when the target sound signal is received from the target sound source in the spatial region centered at 60°.
- the computer simulation for verifying the performance of the adaptive beamforming unit 203 when the target sound signal is received from the target sound source in the spatial region centered at 60° uses the following parameters:
- Passband ( ⁇ p , ⁇ p ) ⁇ 300-5000 Hz, 40°-80° ⁇ , designed spatial directivity pattern is 1.
- Stopband ( ⁇ s , ⁇ s ) ⁇ 300 ⁇ 5000 Hz, ⁇ 180° ⁇ 30°+90° ⁇ 180° ⁇ , the designed spatial directivity pattern is 0.
- the directivity pattern of the microphone array 201 in the spatial region centered at 60° is enhanced while the sound signals from all other spatial regions are suppressed.
- the other six spatial regions have similar parameters.
- the main lobe has the same level, which means the target sound signal has little distortion in frequency.
- FIGS. 16E-16L exemplarily illustrate graphical representations showing the directivity patterns of the eight-sensor microphone array 201 of FIG. 16A in each of the eight spatial regions, where each directivity pattern is an average response from 300 Hz to 5000 Hz.
- the main lobe is about 10 dB higher than the side lobe, and therefore the ambient noise signals from other directions are highly suppressed compared to the target sound signal in the pass direction.
- the microphone array system 200 calculates the filter coefficients for the target sound signal, for example, speech signals from each sound sensor 301 and combines the filtered signals to enhance the speech from any specific direction. Since speech covers a large range of frequencies, the method and system 200 disclosed herein covers broadband signals from 300 Hz to 5000 Hz.
- FIG. 16E exemplarily illustrates a graphical representation showing the directivity pattern of the eight-sensor microphone array 201 when the target sound signal is received from the target sound source in the spatial region centered at 15°.
- FIG. 16F exemplarily illustrates a graphical representation showing the directivity pattern of the eight-sensor microphone array 201 when the target sound signal is received from the target sound source in the spatial region centered at 60°.
- FIG. 16G exemplarily illustrates a graphical representation showing the directivity pattern of the eight-sensor microphone array 201 when the target sound signal is received from the target sound source in the spatial region centered at 105°.
- FIG. 16E exemplarily illustrates a graphical representation showing the directivity pattern of the eight-sensor microphone array 201 when the target sound signal is received from the target sound source in the spatial region centered at 15°.
- FIG. 16F exemplarily illustrates a graphical representation showing the directivity pattern of the eight-sensor microphone array 201 when the target sound signal is received from the target sound source in the spatial region
- FIG. 16H exemplarily illustrates a graphical representation showing the directivity pattern of the eight-sensor microphone array 201 when the target sound signal is received from the target sound source in the spatial region centered at 150°.
- FIG. 16I exemplarily illustrates a graphical representation showing the directivity pattern of the eight-sensor microphone array 201 when the target sound signal is received from the target sound source in the spatial region centered at 195°.
- FIG. 16J exemplarily illustrates a graphical representation showing the directivity pattern of the eight-sensor microphone array 201 when the target sound signal is received from the target sound source in the spatial region centered at 240°.
- FIG. 16H exemplarily illustrates a graphical representation showing the directivity pattern of the eight-sensor microphone array 201 when the target sound signal is received from the target sound source in the spatial region centered at 150°.
- FIG. 16I exemplarily illustrates a graphical representation showing the directivity pattern of the eight-sensor microphone array 201 when the target sound signal is received from the target sound source in the spatial region
- FIG. 16K exemplarily illustrates a graphical representation showing the directivity pattern of the eight-sensor microphone array 201 when the target sound signal is received from the target sound source in the spatial region centered at 285°.
- FIG. 16L exemplarily illustrates a graphical representation showing the directivity pattern of the eight-sensor microphone array 201 when the target sound signal is received from the target sound source in the spatial region centered at 330°.
- the microphone array system 200 disclosed herein enhances the target sound signal from each of the directions 15°, 60°, 105°, 150°, 195°, 240°, 285°, and 330°, while suppressing the ambient noise signals from the other directions.
- the microphone array system 200 disclosed herein can be implemented for a square microphone array configuration and a rectangular array configuration where a sound sensor 301 is positioned in each corner of the four-cornered array.
- the microphone array system 200 disclosed herein implements beamforming from plane to three dimensional sound sources.
- FIG. 17A exemplarily illustrates a graphical representation of four spatial regions to which a four-sensor microphone array 201 for a wireless handheld device responds.
- the wireless handheld device is, for example, a mobile phone.
- the microphone array 201 comprises four sound sensors 301 , for example, microphones, uniformly distributed around a circle 302 having diameter equal to about two inches. This configuration is identical to positioning four sound sensors 301 or microphones on four corners of a square.
- the space is divided into four spatial regions with equal space centered at ⁇ 90°, 0°, 90°, and 180° respectively.
- the adaptive beamforming unit 203 configures the four-sensor microphone array 201 to automatically point to one of these spatial regions according to the location of the target sound signal from the target sound source as estimated by the sound source localization unit 202 .
- FIGS. 17B-17I exemplarily illustrate computer simulations showing the directivity patterns of the four-sensor microphone array 201 of FIG. 17A with respect to azimuth and frequency.
- Passband ( ⁇ p , ⁇ p ) ⁇ 300-4000 Hz, ⁇ 20°-20° ⁇ , designed spatial directivity pattern is 1.
- Stopband ( ⁇ , ⁇ s ) ⁇ 300 ⁇ 4000 Hz, ⁇ 180° ⁇ 30°+30° ⁇ 180° ⁇ , the designed spatial directivity pattern is 0.
- Passband ( ⁇ p , ⁇ p ) ⁇ 300-4000 Hz, 70°-110° ⁇ , designed spatial directivity pattern is 1.
- Stopband ( ⁇ s , ⁇ s ) ⁇ 300 ⁇ 4000 Hz, ⁇ 180° ⁇ 60°+120° ⁇ 180° ⁇ , the designed spatial directivity pattern is 0.
- the directivity patterns for the spatial regions centered at ⁇ 90° and 180° are similarly obtained.
- FIG. 17B exemplarily illustrates the computer simulation result representing a three dimensional (3D) display of the directivity pattern of the four-sensor microphone array 201 when the target sound signal is received from the target sound source in the spatial region centered at ⁇ 90°.
- FIG. 17C exemplarily illustrates the computer simulation result representing a 2D display of the directivity pattern of the four-sensor microphone array 201 when the target sound signal is received from the target sound source in the spatial region centered at ⁇ 90°.
- FIG. 17D exemplarily illustrates the computer simulation result representing a 3D display of the directivity pattern of the four-sensor microphone array 201 when the target sound signal is received from the target sound source in the spatial region centered at 0°.
- FIG. 17E exemplarily illustrates the computer simulation result representing a 2D display of the directivity pattern of the four-sensor microphone array 201 when the target sound signal is received from the target sound source in the spatial region centered at 0°.
- FIG. 17F exemplarily illustrates the computer simulation result representing a 3D display of the directivity pattern of the four-sensor microphone array 201 when the target sound signal is received from the target sound source in the spatial region centered at 90°.
- FIG. 17G exemplarily illustrates the computer simulation result representing a 2D display of the directivity pattern of the four-sensor microphone array 201 when the target sound signal is received from the target sound source in the spatial region centered at 90°.
- FIG. 17H exemplarily illustrates the computer simulation result representing a 3D display of the directivity pattern of the four-sensor microphone array 201 when the target sound source is received from the target sound source in the spatial region centered at 180°.
- FIG. 17I exemplarily illustrates the computer simulation result representing a 2D display of the directivity pattern of the four-sensor microphone array 201 when the target sound source is received from the target sound source in the spatial region centered at 180°.
- the 3D displays of the directivity patterns in FIG. 17B , FIG. 17D , FIG. 17F , and FIG. 17H demonstrate that the passbands have the same height.
- the 2D displays of the directivity patterns in FIG. 17C , FIG. 17E , FIG. 17G , and FIG. 17I demonstrate that the passbands have the same width along the frequency and demonstrates the broadband properties of the microphone array 201 .
- FIGS. 18A-18B exemplarily illustrates a microphone array configuration for a tablet computer.
- four sound sensors 301 of the microphone array 201 are positioned on a frame 1801 of the tablet computer, for example, the iPad® of Apple Inc.
- the sound sensors 301 are distributed on the circle 302 as exemplarily in FIG. 18B .
- the radius of the circle 302 is equal to the width of the tablet computer.
- the angle ⁇ between the sound sensors 301 M 2 and M 3 is determined to avoid spatial aliasing up to 4000 Hz.
- This microphone array configuration enhances a front speaker's voice and suppresses background ambient noise.
- the adaptive beamforming unit 203 configures the microphone array 201 to form an acoustic beam 1802 pointing frontwards using the method and system 200 disclosed herein.
- the target sound signal that is, the front speaker's voice within the range of ⁇ 30° is enhanced compared to the sound signals from other directions.
- FIG. 18C exemplarily illustrates an acoustic beam 1802 formed using the microphone array configuration of FIGS. 18A-18B according to the method and system 200 disclosed herein.
- FIGS. 18D-18G exemplarily illustrates graphs showing processing results of the adaptive beamforming unit 203 and the noise reduction unit 207 for the microphone array configuration of FIG. 18B , in both a time domain and a spectral domain for the tablet computer.
- FIG. 18D exemplarily illustrates a graph showing the performance of the microphone array 201 before performing beamforming and noise reduction with a signal-to-noise ratio (SNR) of 15 dB.
- SNR signal-to-noise ratio
- FIG. 18E exemplarily illustrates a graph showing the performance of the microphone array 201 after performing beamforming and noise reduction, according to the method disclosed herein, with an SNR of 15 dB.
- FIG. 18F exemplarily illustrates a graph showing the performance of the microphone array 201 before performing beamforming and noise reduction with an SNR of 0 dB.
- FIG. 18G exemplarily illustrates a graph showing the performance of the microphone array 201 after performing beamforming and noise reduction, according to the method disclosed herein, with an SNR of 0 dB.
- the performance graph is noisier for the microphone array 201 before the beamforming and noise reduction is performed. Therefore, the adaptive beamforming unit 203 and the noise reduction unit 207 of the microphone array system 200 disclosed herein suppresses ambient noise signals while maintaining the clarity of the target sound signal, for example, the speech signal.
- FIGS. 19A-19F exemplarily illustrate tables showing different microphone array configurations and the corresponding values of delay ⁇ n for the sound sensors 301 in each of the microphone array configurations.
- the broadband beamforming method disclosed herein can be used for microphone arrays 201 with arbitrary numbers of sound sensors 301 and arbitrary locations of the sound sensors 301 .
- the sound sensors 301 can be mounted on surfaces or edges of any speech acquisition device.
- the only parameter that needs to be defined to achieve the beamformer coefficients is the value of; for each sound sensor 301 as disclosed in the detailed description of FIG. 5 , FIGS. 6A-6B , and FIGS. 7A-7C and as exemplarily illustrated in FIGS. 19A-19F .
- the microphone array configuration exemplarily illustrated in FIG. 19F is implemented on a handheld device for hands-free speech acquisition.
- a user prefers to talk in distance rather than speaking close to the sound sensor 301 and may want to talk while watching a screen of the handheld device.
- the microphone array system 200 disclosed herein allows the handheld device to pick up sound signals from the direction of the speaker's mouth and suppress noise from other directions.
- the method and system 200 disclosed herein may be implemented on any device or equipment, for example, a voice recorder where a target sound signal or speech needs to be enhanced.
Abstract
Description
where
H(ω,θ)=Σn=0 N−1Wn(ω)e−jωτ
where wT=[w0 T, w1 T, w2 T, w3 T, . . . , wN−1 T] and
g(ω,θ)={gi(ω, θ)}i=1 . . . NL={e−jω(k+τ
Replacing
|H(ω,θ)|2=wTg(ω,θ)gH(ω,θ)w=wT(GR(ω,θ)+jG1(ω,θ))w=wTGR(ω,θ)w and Re(H(ω,θ))=wTgR(ω,θ),J(ω) becomes
J(ω)=wTQw−2wTα+d, where
Q=∫Ω
α=∫Ω
d=∫Ω
where gR(ω,θ)=cos [ω(k+τn)] and GR(ω,θ)=cos [ω(k−l+τn−τm)].
When ∂J/∂w=0, the cost function J is minimized. The least-square estimate of w is obtained by:
w=Q−1α (5)
Now, the design problem becomes:
and the solution of the constrained minimization problem is equal to:
w=Q−1CT(CQ−1CT)−1(b−CQ−1α)+Q−1α (8)
where w is the filter parameter for the designed
Therefore, the spatial location of the target sound signal is given 804 by:
Claims (41)
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US16/052,623 USRE48371E1 (en) | 2010-09-24 | 2018-08-02 | Microphone array system |
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US16/052,623 Active 2033-05-18 USRE48371E1 (en) | 2010-09-24 | 2018-08-02 | Microphone array system |
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US11137979B2 (en) | 2016-02-22 | 2021-10-05 | Sonos, Inc. | Metadata exchange involving a networked playback system and a networked microphone system |
US11159880B2 (en) | 2018-12-20 | 2021-10-26 | Sonos, Inc. | Optimization of network microphone devices using noise classification |
US11175880B2 (en) | 2018-05-10 | 2021-11-16 | Sonos, Inc. | Systems and methods for voice-assisted media content selection |
US11175888B2 (en) | 2017-09-29 | 2021-11-16 | Sonos, Inc. | Media playback system with concurrent voice assistance |
US11184704B2 (en) | 2016-02-22 | 2021-11-23 | Sonos, Inc. | Music service selection |
US11184969B2 (en) | 2016-07-15 | 2021-11-23 | Sonos, Inc. | Contextualization of voice inputs |
US11183183B2 (en) | 2018-12-07 | 2021-11-23 | Sonos, Inc. | Systems and methods of operating media playback systems having multiple voice assistant services |
US11183181B2 (en) | 2017-03-27 | 2021-11-23 | Sonos, Inc. | Systems and methods of multiple voice services |
US11189286B2 (en) | 2019-10-22 | 2021-11-30 | Sonos, Inc. | VAS toggle based on device orientation |
US11197096B2 (en) | 2018-06-28 | 2021-12-07 | Sonos, Inc. | Systems and methods for associating playback devices with voice assistant services |
US11200889B2 (en) | 2018-11-15 | 2021-12-14 | Sonos, Inc. | Dilated convolutions and gating for efficient keyword spotting |
US11200894B2 (en) | 2019-06-12 | 2021-12-14 | Sonos, Inc. | Network microphone device with command keyword eventing |
US11200900B2 (en) | 2019-12-20 | 2021-12-14 | Sonos, Inc. | Offline voice control |
US11302326B2 (en) | 2017-09-28 | 2022-04-12 | Sonos, Inc. | Tone interference cancellation |
US11308962B2 (en) | 2020-05-20 | 2022-04-19 | Sonos, Inc. | Input detection windowing |
US11308958B2 (en) | 2020-02-07 | 2022-04-19 | Sonos, Inc. | Localized wakeword verification |
US11308961B2 (en) | 2016-10-19 | 2022-04-19 | Sonos, Inc. | Arbitration-based voice recognition |
US11315556B2 (en) | 2019-02-08 | 2022-04-26 | Sonos, Inc. | Devices, systems, and methods for distributed voice processing by transmitting sound data associated with a wake word to an appropriate device for identification |
US11343614B2 (en) | 2018-01-31 | 2022-05-24 | Sonos, Inc. | Device designation of playback and network microphone device arrangements |
US11354092B2 (en) | 2019-07-31 | 2022-06-07 | Sonos, Inc. | Noise classification for event detection |
US11361756B2 (en) | 2019-06-12 | 2022-06-14 | Sonos, Inc. | Conditional wake word eventing based on environment |
US11380322B2 (en) | 2017-08-07 | 2022-07-05 | Sonos, Inc. | Wake-word detection suppression |
US11405430B2 (en) | 2016-02-22 | 2022-08-02 | Sonos, Inc. | Networked microphone device control |
US11432030B2 (en) | 2018-09-14 | 2022-08-30 | Sonos, Inc. | Networked devices, systems, and methods for associating playback devices based on sound codes |
US11451908B2 (en) | 2017-12-10 | 2022-09-20 | Sonos, Inc. | Network microphone devices with automatic do not disturb actuation capabilities |
US11482978B2 (en) | 2018-08-28 | 2022-10-25 | Sonos, Inc. | Audio notifications |
US11482224B2 (en) | 2020-05-20 | 2022-10-25 | Sonos, Inc. | Command keywords with input detection windowing |
US11501795B2 (en) | 2018-09-29 | 2022-11-15 | Sonos, Inc. | Linear filtering for noise-suppressed speech detection via multiple network microphone devices |
US11500611B2 (en) | 2017-09-08 | 2022-11-15 | Sonos, Inc. | Dynamic computation of system response volume |
US11501773B2 (en) | 2019-06-12 | 2022-11-15 | Sonos, Inc. | Network microphone device with command keyword conditioning |
US11516610B2 (en) | 2016-09-30 | 2022-11-29 | Sonos, Inc. | Orientation-based playback device microphone selection |
US11514898B2 (en) | 2016-02-22 | 2022-11-29 | Sonos, Inc. | Voice control of a media playback system |
US11513763B2 (en) | 2016-02-22 | 2022-11-29 | Sonos, Inc. | Audio response playback |
US11531520B2 (en) | 2016-08-05 | 2022-12-20 | Sonos, Inc. | Playback device supporting concurrent voice assistants |
US11538451B2 (en) | 2017-09-28 | 2022-12-27 | Sonos, Inc. | Multi-channel acoustic echo cancellation |
US11551700B2 (en) | 2021-01-25 | 2023-01-10 | Sonos, Inc. | Systems and methods for power-efficient keyword detection |
US11551690B2 (en) | 2018-09-14 | 2023-01-10 | Sonos, Inc. | Networked devices, systems, and methods for intelligently deactivating wake-word engines |
US11556306B2 (en) | 2016-02-22 | 2023-01-17 | Sonos, Inc. | Voice controlled media playback system |
US11556307B2 (en) | 2020-01-31 | 2023-01-17 | Sonos, Inc. | Local voice data processing |
US11563842B2 (en) | 2018-08-28 | 2023-01-24 | Sonos, Inc. | Do not disturb feature for audio notifications |
US11562740B2 (en) | 2020-01-07 | 2023-01-24 | Sonos, Inc. | Voice verification for media playback |
US11589329B1 (en) | 2010-12-30 | 2023-02-21 | Staton Techiya Llc | Information processing using a population of data acquisition devices |
US11641559B2 (en) | 2016-09-27 | 2023-05-02 | Sonos, Inc. | Audio playback settings for voice interaction |
US11646023B2 (en) | 2019-02-08 | 2023-05-09 | Sonos, Inc. | Devices, systems, and methods for distributed voice processing |
US11646045B2 (en) | 2017-09-27 | 2023-05-09 | Sonos, Inc. | Robust short-time fourier transform acoustic echo cancellation during audio playback |
US11664023B2 (en) | 2016-07-15 | 2023-05-30 | Sonos, Inc. | Voice detection by multiple devices |
US20230169956A1 (en) * | 2019-05-03 | 2023-06-01 | Sonos, Inc. | Locally distributed keyword detection |
US11676590B2 (en) | 2017-12-11 | 2023-06-13 | Sonos, Inc. | Home graph |
US11698771B2 (en) | 2020-08-25 | 2023-07-11 | Sonos, Inc. | Vocal guidance engines for playback devices |
US11715489B2 (en) | 2018-05-18 | 2023-08-01 | Sonos, Inc. | Linear filtering for noise-suppressed speech detection |
US11727919B2 (en) | 2020-05-20 | 2023-08-15 | Sonos, Inc. | Memory allocation for keyword spotting engines |
US11727936B2 (en) | 2018-09-25 | 2023-08-15 | Sonos, Inc. | Voice detection optimization based on selected voice assistant service |
US11792590B2 (en) | 2018-05-25 | 2023-10-17 | Sonos, Inc. | Determining and adapting to changes in microphone performance of playback devices |
US11790937B2 (en) | 2018-09-21 | 2023-10-17 | Sonos, Inc. | Voice detection optimization using sound metadata |
US11890168B2 (en) | 2022-03-21 | 2024-02-06 | Li Creative Technologies Inc. | Hearing protection and situational awareness system |
US11899519B2 (en) | 2018-10-23 | 2024-02-13 | Sonos, Inc. | Multiple stage network microphone device with reduced power consumption and processing load |
Families Citing this family (107)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102306496B (en) * | 2011-09-05 | 2014-07-09 | 歌尔声学股份有限公司 | Noise elimination method, device and system of multi-microphone array |
US8983089B1 (en) | 2011-11-28 | 2015-03-17 | Rawles Llc | Sound source localization using multiple microphone arrays |
WO2013093565A1 (en) * | 2011-12-22 | 2013-06-27 | Nokia Corporation | Spatial audio processing apparatus |
US9437213B2 (en) * | 2012-03-05 | 2016-09-06 | Malaspina Labs (Barbados) Inc. | Voice signal enhancement |
US10107887B2 (en) | 2012-04-13 | 2018-10-23 | Qualcomm Incorporated | Systems and methods for displaying a user interface |
US20130343549A1 (en) * | 2012-06-22 | 2013-12-26 | Verisilicon Holdings Co., Ltd. | Microphone arrays for generating stereo and surround channels, method of operation thereof and module incorporating the same |
US9384737B2 (en) * | 2012-06-29 | 2016-07-05 | Microsoft Technology Licensing, Llc | Method and device for adjusting sound levels of sources based on sound source priority |
US9232310B2 (en) * | 2012-10-15 | 2016-01-05 | Nokia Technologies Oy | Methods, apparatuses and computer program products for facilitating directional audio capture with multiple microphones |
US9078057B2 (en) * | 2012-11-01 | 2015-07-07 | Csr Technology Inc. | Adaptive microphone beamforming |
US9595997B1 (en) * | 2013-01-02 | 2017-03-14 | Amazon Technologies, Inc. | Adaption-based reduction of echo and noise |
US9294839B2 (en) | 2013-03-01 | 2016-03-22 | Clearone, Inc. | Augmentation of a beamforming microphone array with non-beamforming microphones |
US10750132B2 (en) * | 2013-03-14 | 2020-08-18 | Pelco, Inc. | System and method for audio source localization using multiple audio sensors |
US20140270219A1 (en) * | 2013-03-15 | 2014-09-18 | CSR Technology, Inc. | Method, apparatus, and manufacture for beamforming with fixed weights and adaptive selection or resynthesis |
CN104065798B (en) * | 2013-03-21 | 2016-08-03 | 华为技术有限公司 | Audio signal processing method and equipment |
US9294858B2 (en) * | 2014-02-26 | 2016-03-22 | Revo Labs, Inc. | Controlling acoustic echo cancellation while handling a wireless microphone |
US9716946B2 (en) * | 2014-06-01 | 2017-07-25 | Insoundz Ltd. | System and method thereof for determining of an optimal deployment of microphones to achieve optimal coverage in a three-dimensional space |
US10149047B2 (en) * | 2014-06-18 | 2018-12-04 | Cirrus Logic Inc. | Multi-aural MMSE analysis techniques for clarifying audio signals |
KR102208477B1 (en) | 2014-06-30 | 2021-01-27 | 삼성전자주식회사 | Operating Method For Microphones and Electronic Device supporting the same |
WO2016004225A1 (en) | 2014-07-03 | 2016-01-07 | Dolby Laboratories Licensing Corporation | Auxiliary augmentation of soundfields |
TWI584657B (en) * | 2014-08-20 | 2017-05-21 | 國立清華大學 | A method for recording and rebuilding of a stereophonic sound field |
KR102174850B1 (en) * | 2014-10-31 | 2020-11-05 | 한화테크윈 주식회사 | Environment adaptation type beam forming apparatus for audio |
US9747367B2 (en) | 2014-12-05 | 2017-08-29 | Stages Llc | Communication system for establishing and providing preferred audio |
US10609475B2 (en) | 2014-12-05 | 2020-03-31 | Stages Llc | Active noise control and customized audio system |
US9654868B2 (en) | 2014-12-05 | 2017-05-16 | Stages Llc | Multi-channel multi-domain source identification and tracking |
US10924846B2 (en) * | 2014-12-12 | 2021-02-16 | Nuance Communications, Inc. | System and method for generating a self-steering beamformer |
US9565493B2 (en) | 2015-04-30 | 2017-02-07 | Shure Acquisition Holdings, Inc. | Array microphone system and method of assembling the same |
US9554207B2 (en) | 2015-04-30 | 2017-01-24 | Shure Acquisition Holdings, Inc. | Offset cartridge microphones |
JP6131989B2 (en) * | 2015-07-07 | 2017-05-24 | 沖電気工業株式会社 | Sound collecting apparatus, program and method |
US9823893B2 (en) | 2015-07-15 | 2017-11-21 | International Business Machines Corporation | Processing of voice conversations using network of computing devices |
US10572073B2 (en) * | 2015-08-24 | 2020-02-25 | Sony Corporation | Information processing device, information processing method, and program |
US10425726B2 (en) * | 2015-10-26 | 2019-09-24 | Sony Corporation | Signal processing device, signal processing method, and program |
US10320964B2 (en) * | 2015-10-30 | 2019-06-11 | Mitsubishi Electric Corporation | Hands-free control apparatus |
KR102502601B1 (en) * | 2015-11-27 | 2023-02-23 | 삼성전자주식회사 | Electronic device and controlling voice signal method |
US11064291B2 (en) | 2015-12-04 | 2021-07-13 | Sennheiser Electronic Gmbh & Co. Kg | Microphone array system |
US9894434B2 (en) | 2015-12-04 | 2018-02-13 | Sennheiser Electronic Gmbh & Co. Kg | Conference system with a microphone array system and a method of speech acquisition in a conference system |
JP2017102085A (en) * | 2015-12-04 | 2017-06-08 | キヤノン株式会社 | Information processing apparatus, information processing method, and program |
CN107290711A (en) * | 2016-03-30 | 2017-10-24 | 芋头科技(杭州)有限公司 | A kind of voice is sought to system and method |
US9820042B1 (en) | 2016-05-02 | 2017-11-14 | Knowles Electronics, Llc | Stereo separation and directional suppression with omni-directional microphones |
US10657983B2 (en) | 2016-06-15 | 2020-05-19 | Intel Corporation | Automatic gain control for speech recognition |
TWI579833B (en) * | 2016-06-22 | 2017-04-21 | 瑞昱半導體股份有限公司 | Signal processing device and signal processing method |
CN107889022B (en) * | 2016-09-30 | 2021-03-23 | 松下电器产业株式会社 | Noise suppression device and noise suppression method |
US9980075B1 (en) | 2016-11-18 | 2018-05-22 | Stages Llc | Audio source spatialization relative to orientation sensor and output |
US9980042B1 (en) | 2016-11-18 | 2018-05-22 | Stages Llc | Beamformer direction of arrival and orientation analysis system |
US10945080B2 (en) | 2016-11-18 | 2021-03-09 | Stages Llc | Audio analysis and processing system |
US10367948B2 (en) | 2017-01-13 | 2019-07-30 | Shure Acquisition Holdings, Inc. | Post-mixing acoustic echo cancellation systems and methods |
WO2018140618A1 (en) | 2017-01-27 | 2018-08-02 | Shure Acquisiton Holdings, Inc. | Array microphone module and system |
US10366700B2 (en) | 2017-02-08 | 2019-07-30 | Logitech Europe, S.A. | Device for acquiring and processing audible input |
US10229667B2 (en) | 2017-02-08 | 2019-03-12 | Logitech Europe S.A. | Multi-directional beamforming device for acquiring and processing audible input |
US10366702B2 (en) | 2017-02-08 | 2019-07-30 | Logitech Europe, S.A. | Direction detection device for acquiring and processing audible input |
US10362393B2 (en) | 2017-02-08 | 2019-07-23 | Logitech Europe, S.A. | Direction detection device for acquiring and processing audible input |
US20180317006A1 (en) | 2017-04-28 | 2018-11-01 | Qualcomm Incorporated | Microphone configurations |
US10334360B2 (en) * | 2017-06-12 | 2019-06-25 | Revolabs, Inc | Method for accurately calculating the direction of arrival of sound at a microphone array |
WO2018229464A1 (en) * | 2017-06-13 | 2018-12-20 | Sandeep Kumar Chintala | Noise cancellation in voice communication systems |
US10187721B1 (en) * | 2017-06-22 | 2019-01-22 | Amazon Technologies, Inc. | Weighing fixed and adaptive beamformers |
US11101022B2 (en) | 2017-08-10 | 2021-08-24 | Nuance Communications, Inc. | Automated clinical documentation system and method |
US11316865B2 (en) | 2017-08-10 | 2022-04-26 | Nuance Communications, Inc. | Ambient cooperative intelligence system and method |
US10412532B2 (en) * | 2017-08-30 | 2019-09-10 | Harman International Industries, Incorporated | Environment discovery via time-synchronized networked loudspeakers |
US20200333423A1 (en) * | 2017-10-11 | 2020-10-22 | Sony Corporation | Sound source direction estimation device and method, and program |
US11565365B2 (en) * | 2017-11-13 | 2023-01-31 | Taiwan Semiconductor Manufacturing Co., Ltd. | System and method for monitoring chemical mechanical polishing |
CN108109617B (en) * | 2018-01-08 | 2020-12-15 | 深圳市声菲特科技技术有限公司 | Remote pickup method |
EP3762921A4 (en) | 2018-03-05 | 2022-05-04 | Nuance Communications, Inc. | Automated clinical documentation system and method |
US11250382B2 (en) * | 2018-03-05 | 2022-02-15 | Nuance Communications, Inc. | Automated clinical documentation system and method |
EP3762929A4 (en) | 2018-03-05 | 2022-01-12 | Nuance Communications, Inc. | System and method for review of automated clinical documentation |
DE102018107579B4 (en) * | 2018-03-29 | 2020-07-02 | Tdk Corporation | Microphone array |
CN108319155A (en) * | 2018-04-24 | 2018-07-24 | 苏州宏云智能科技有限公司 | Wireless intelligent house terminal control unit |
US20190324117A1 (en) * | 2018-04-24 | 2019-10-24 | Mediatek Inc. | Content aware audio source localization |
CN110441738B (en) * | 2018-05-03 | 2023-07-28 | 阿里巴巴集团控股有限公司 | Method, system, vehicle and storage medium for vehicle-mounted voice positioning |
DE102018110759A1 (en) * | 2018-05-04 | 2019-11-07 | Sennheiser Electronic Gmbh & Co. Kg | microphone array |
WO2019231632A1 (en) | 2018-06-01 | 2019-12-05 | Shure Acquisition Holdings, Inc. | Pattern-forming microphone array |
US11297423B2 (en) | 2018-06-15 | 2022-04-05 | Shure Acquisition Holdings, Inc. | Endfire linear array microphone |
US10939030B2 (en) * | 2018-09-07 | 2021-03-02 | Canon Kabushiki Kaisha | Video audio processing system and method of controlling the video audio processing system |
EP3854108A1 (en) | 2018-09-20 | 2021-07-28 | Shure Acquisition Holdings, Inc. | Adjustable lobe shape for array microphones |
US11109133B2 (en) | 2018-09-21 | 2021-08-31 | Shure Acquisition Holdings, Inc. | Array microphone module and system |
US20200184994A1 (en) * | 2018-12-07 | 2020-06-11 | Nuance Communications, Inc. | System and method for acoustic localization of multiple sources using spatial pre-filtering |
CN109803171B (en) * | 2019-02-15 | 2023-10-24 | 深圳市锐明技术股份有限公司 | Monitoring camera for displaying voice position and control method thereof |
US11558693B2 (en) | 2019-03-21 | 2023-01-17 | Shure Acquisition Holdings, Inc. | Auto focus, auto focus within regions, and auto placement of beamformed microphone lobes with inhibition and voice activity detection functionality |
CN113841419A (en) | 2019-03-21 | 2021-12-24 | 舒尔获得控股公司 | Housing and associated design features for ceiling array microphone |
CN113841421A (en) | 2019-03-21 | 2021-12-24 | 舒尔获得控股公司 | Auto-focus, in-region auto-focus, and auto-configuration of beamforming microphone lobes with suppression |
WO2020237206A1 (en) | 2019-05-23 | 2020-11-26 | Shure Acquisition Holdings, Inc. | Steerable speaker array, system, and method for the same |
WO2020243471A1 (en) | 2019-05-31 | 2020-12-03 | Shure Acquisition Holdings, Inc. | Low latency automixer integrated with voice and noise activity detection |
US11216480B2 (en) | 2019-06-14 | 2022-01-04 | Nuance Communications, Inc. | System and method for querying data points from graph data structures |
US11227679B2 (en) | 2019-06-14 | 2022-01-18 | Nuance Communications, Inc. | Ambient clinical intelligence system and method |
US11043207B2 (en) | 2019-06-14 | 2021-06-22 | Nuance Communications, Inc. | System and method for array data simulation and customized acoustic modeling for ambient ASR |
US11226396B2 (en) | 2019-06-27 | 2022-01-18 | Gracenote, Inc. | Methods and apparatus to improve detection of audio signatures |
US11531807B2 (en) | 2019-06-28 | 2022-12-20 | Nuance Communications, Inc. | System and method for customized text macros |
CN110364161A (en) * | 2019-08-22 | 2019-10-22 | 北京小米智能科技有限公司 | Method, electronic equipment, medium and the system of voice responsive signal |
JP2022545113A (en) | 2019-08-23 | 2022-10-25 | シュアー アクイジッション ホールディングス インコーポレイテッド | One-dimensional array microphone with improved directivity |
US10887709B1 (en) * | 2019-09-25 | 2021-01-05 | Amazon Technologies, Inc. | Aligned beam merger |
US11670408B2 (en) | 2019-09-30 | 2023-06-06 | Nuance Communications, Inc. | System and method for review of automated clinical documentation |
CN111025233B (en) * | 2019-11-13 | 2023-09-15 | 阿里巴巴集团控股有限公司 | Sound source direction positioning method and device, voice equipment and system |
US11552611B2 (en) | 2020-02-07 | 2023-01-10 | Shure Acquisition Holdings, Inc. | System and method for automatic adjustment of reference gain |
US11277689B2 (en) | 2020-02-24 | 2022-03-15 | Logitech Europe S.A. | Apparatus and method for optimizing sound quality of a generated audible signal |
US11240621B2 (en) | 2020-04-11 | 2022-02-01 | LI Creative Technologies, Inc. | Three-dimensional audio systems |
US11025324B1 (en) * | 2020-04-15 | 2021-06-01 | Cirrus Logic, Inc. | Initialization of adaptive blocking matrix filters in a beamforming array using a priori information |
USD944776S1 (en) | 2020-05-05 | 2022-03-01 | Shure Acquisition Holdings, Inc. | Audio device |
WO2021243368A2 (en) | 2020-05-29 | 2021-12-02 | Shure Acquisition Holdings, Inc. | Transducer steering and configuration systems and methods using a local positioning system |
JP2022061673A (en) | 2020-10-07 | 2022-04-19 | ヤマハ株式会社 | Microphone array system |
US11222103B1 (en) | 2020-10-29 | 2022-01-11 | Nuance Communications, Inc. | Ambient cooperative intelligence system and method |
CN112767908A (en) * | 2020-12-29 | 2021-05-07 | 安克创新科技股份有限公司 | Active noise reduction method based on key sound recognition, electronic equipment and storage medium |
CN112684412B (en) * | 2021-01-12 | 2022-09-13 | 中北大学 | Sound source positioning method and system based on pattern clustering |
JP2024505068A (en) | 2021-01-28 | 2024-02-02 | シュアー アクイジッション ホールディングス インコーポレイテッド | Hybrid audio beamforming system |
US11636842B2 (en) * | 2021-01-29 | 2023-04-25 | Iyo Inc. | Ear-mountable listening device having a microphone array disposed around a circuit board |
CN115061087A (en) * | 2022-05-27 | 2022-09-16 | 上海事凡物联网科技有限公司 | Signal processing method, DOA estimation method and electronic equipment |
CN116055869B (en) * | 2022-05-30 | 2023-10-20 | 荣耀终端有限公司 | Video processing method and terminal |
CN114863943B (en) * | 2022-07-04 | 2022-11-04 | 杭州兆华电子股份有限公司 | Self-adaptive positioning method and device for environmental noise source based on beam forming |
CN114858271B (en) * | 2022-07-05 | 2022-09-23 | 杭州兆华电子股份有限公司 | Array amplification method for sound detection |
CN116953615B (en) * | 2023-08-04 | 2024-04-12 | 中国水利水电科学研究院 | Networking detection positioning technology for termite nest of dam |
Citations (79)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5315562A (en) * | 1992-10-23 | 1994-05-24 | Rowe, Deines Instruments Inc. | Correlation sonar system |
US5825898A (en) | 1996-06-27 | 1998-10-20 | Lamar Signal Processing Ltd. | System and method for adaptive interference cancelling |
US6198693B1 (en) | 1998-04-13 | 2001-03-06 | Andrea Electronics Corporation | System and method for finding the direction of a wave source using an array of sensors |
US6236862B1 (en) * | 1996-12-16 | 2001-05-22 | Intersignal Llc | Continuously adaptive dynamic signal separation and recovery system |
US20030204397A1 (en) * | 2002-04-26 | 2003-10-30 | Mitel Knowledge Corporation | Method of compensating for beamformer steering delay during handsfree speech recognition |
US20040071284A1 (en) | 2002-08-16 | 2004-04-15 | Abutalebi Hamid Reza | Method and system for processing subband signals using adaptive filters |
US20040161121A1 (en) * | 2003-01-17 | 2004-08-19 | Samsung Electronics Co., Ltd | Adaptive beamforming method and apparatus using feedback structure |
EP1538867A1 (en) | 2003-06-30 | 2005-06-08 | Harman Becker Automotive Systems GmbH | Handsfree system for use in a vehicle |
US7039199B2 (en) | 2002-08-26 | 2006-05-02 | Microsoft Corporation | System and process for locating a speaker using 360 degree sound source localization |
US7068801B1 (en) | 1998-12-18 | 2006-06-27 | National Research Council Of Canada | Microphone array diffracting structure |
US20060153360A1 (en) | 2004-09-03 | 2006-07-13 | Walter Kellermann | Speech signal processing with combined noise reduction and echo compensation |
US20060245601A1 (en) | 2005-04-27 | 2006-11-02 | Francois Michaud | Robust localization and tracking of simultaneously moving sound sources using beamforming and particle filtering |
US20060269080A1 (en) | 2004-10-15 | 2006-11-30 | Lifesize Communications, Inc. | Hybrid beamforming |
US20070055505A1 (en) | 2003-07-11 | 2007-03-08 | Cochlear Limited | Method and device for noise reduction |
US20070076898A1 (en) | 2003-11-24 | 2007-04-05 | Koninkiljke Phillips Electronics N.V. | Adaptive beamformer with robustness against uncorrelated noise |
WO2008041878A2 (en) | 2006-10-04 | 2008-04-10 | Micronas Nit | System and procedure of hands free speech communication using a microphone array |
US20080112574A1 (en) | 2001-08-08 | 2008-05-15 | Ami Semiconductor, Inc. | Directional audio signal processing using an oversampled filterbank |
US20080181430A1 (en) | 2007-01-26 | 2008-07-31 | Microsoft Corporation | Multi-sensor sound source localization |
US20080232607A1 (en) | 2007-03-22 | 2008-09-25 | Microsoft Corporation | Robust adaptive beamforming with enhanced noise suppression |
US20090067642A1 (en) | 2007-08-13 | 2009-03-12 | Markus Buck | Noise reduction through spatial selectivity and filtering |
US20090073040A1 (en) | 2006-04-20 | 2009-03-19 | Nec Corporation | Adaptive array control device, method and program, and adaptive array processing device, method and program |
US20090141907A1 (en) * | 2007-11-30 | 2009-06-04 | Samsung Electronics Co., Ltd. | Method and apparatus for canceling noise from sound input through microphone |
US20090279714A1 (en) | 2008-05-06 | 2009-11-12 | Samsung Electronics Co., Ltd. | Apparatus and method for localizing sound source in robot |
US20090304200A1 (en) | 2008-06-09 | 2009-12-10 | Samsung Electronics Co., Ltd. | Adaptive mode control apparatus and method for adaptive beamforming based on detection of user direction sound |
KR20090128221A (en) | 2008-06-10 | 2009-12-15 | 삼성전자주식회사 | Method for sound source localization and system thereof |
US20100150364A1 (en) | 2008-12-12 | 2010-06-17 | Nuance Communications, Inc. | Method for Determining a Time Delay for Time Delay Compensation |
US20120327115A1 (en) | 2011-06-21 | 2012-12-27 | Chhetri Amit S | Signal-enhancing Beamforming in an Augmented Reality Environment |
US20130265276A1 (en) | 2012-04-09 | 2013-10-10 | Amazon Technologies, Inc. | Multiple touch sensing modes |
US8855295B1 (en) | 2012-06-25 | 2014-10-07 | Rawles Llc | Acoustic echo cancellation using blind source separation |
US8885815B1 (en) | 2012-06-25 | 2014-11-11 | Rawles Llc | Null-forming techniques to improve acoustic echo cancellation |
US20150006176A1 (en) | 2013-06-27 | 2015-01-01 | Rawles Llc | Detecting Self-Generated Wake Expressions |
US8953777B1 (en) | 2013-05-30 | 2015-02-10 | Amazon Technologies, Inc. | Echo path change detector with robustness to double talk |
US8983057B1 (en) | 2013-09-20 | 2015-03-17 | Amazon Technologies, Inc. | Step size control for acoustic echo cancellation |
US9116962B1 (en) | 2012-03-28 | 2015-08-25 | Amazon Technologies, Inc. | Context dependent recognition |
US9229526B1 (en) | 2012-09-10 | 2016-01-05 | Amazon Technologies, Inc. | Dedicated image processor |
US9319782B1 (en) | 2013-12-20 | 2016-04-19 | Amazon Technologies, Inc. | Distributed speaker synchronization |
US9319783B1 (en) | 2014-02-19 | 2016-04-19 | Amazon Technologies, Inc. | Attenuation of output audio based on residual echo |
US9332167B1 (en) | 2012-11-20 | 2016-05-03 | Amazon Technologies, Inc. | Multi-directional camera module for an electronic device |
US9354731B1 (en) | 2012-06-20 | 2016-05-31 | Amazon Technologies, Inc. | Multi-dimension touch input |
US9363616B1 (en) | 2014-04-18 | 2016-06-07 | Amazon Technologies, Inc. | Directional capability testing of audio devices |
US9373338B1 (en) | 2012-06-25 | 2016-06-21 | Amazon Technologies, Inc. | Acoustic echo cancellation processing based on feedback from speech recognizer |
US9390723B1 (en) | 2014-12-11 | 2016-07-12 | Amazon Technologies, Inc. | Efficient dereverberation in networked audio systems |
US9423886B1 (en) | 2012-10-02 | 2016-08-23 | Amazon Technologies, Inc. | Sensor connectivity approaches |
US9431982B1 (en) | 2015-03-30 | 2016-08-30 | Amazon Technologies, Inc. | Loudness learning and balancing system |
US9432769B1 (en) | 2014-07-30 | 2016-08-30 | Amazon Technologies, Inc. | Method and system for beam selection in microphone array beamformers |
US9432768B1 (en) | 2014-03-28 | 2016-08-30 | Amazon Technologies, Inc. | Beam forming for a wearable computer |
US9456276B1 (en) | 2014-09-30 | 2016-09-27 | Amazon Technologies, Inc. | Parameter selection for audio beamforming |
US9473646B1 (en) | 2013-09-16 | 2016-10-18 | Amazon Technologies, Inc. | Robust acoustic echo cancellation |
US9516410B1 (en) | 2015-06-29 | 2016-12-06 | Amazon Technologies, Inc. | Asynchronous clock frequency domain acoustic echo canceller |
US9589575B1 (en) | 2015-12-02 | 2017-03-07 | Amazon Technologies, Inc. | Asynchronous clock frequency domain acoustic echo canceller |
US9591404B1 (en) | 2013-09-27 | 2017-03-07 | Amazon Technologies, Inc. | Beamformer design using constrained convex optimization in three-dimensional space |
US9614486B1 (en) | 2015-12-30 | 2017-04-04 | Amazon Technologies, Inc. | Adaptive gain control |
US9653060B1 (en) | 2016-02-09 | 2017-05-16 | Amazon Technologies, Inc. | Hybrid reference signal for acoustic echo cancellation |
US9661438B1 (en) | 2015-03-26 | 2017-05-23 | Amazon Technologies, Inc. | Low latency limiter |
US9658738B1 (en) | 2012-11-29 | 2017-05-23 | Amazon Technologies, Inc. | Representation management on an electronic device |
US9659555B1 (en) | 2016-02-09 | 2017-05-23 | Amazon Technologies, Inc. | Multichannel acoustic echo cancellation |
US9677986B1 (en) | 2014-09-24 | 2017-06-13 | Amazon Technologies, Inc. | Airborne particle detection with user device |
US9678559B1 (en) | 2015-09-18 | 2017-06-13 | Amazon Technologies, Inc. | Determining a device state based on user presence detection |
US20170178662A1 (en) | 2015-12-17 | 2017-06-22 | Amazon Technologies, Inc. | Adaptive beamforming to create reference channels |
US9689960B1 (en) | 2013-04-04 | 2017-06-27 | Amazon Technologies, Inc. | Beam rejection in multi-beam microphone systems |
US9704478B1 (en) | 2013-12-02 | 2017-07-11 | Amazon Technologies, Inc. | Audio output masking for improved automatic speech recognition |
US9734845B1 (en) | 2015-06-26 | 2017-08-15 | Amazon Technologies, Inc. | Mitigating effects of electronic audio sources in expression detection |
US9754605B1 (en) | 2016-06-09 | 2017-09-05 | Amazon Technologies, Inc. | Step-size control for multi-channel acoustic echo canceller |
US9767828B1 (en) | 2012-06-27 | 2017-09-19 | Amazon Technologies, Inc. | Acoustic echo cancellation using visual cues |
US9820036B1 (en) | 2015-12-30 | 2017-11-14 | Amazon Technologies, Inc. | Speech processing of reflected sound |
US9818425B1 (en) | 2016-06-17 | 2017-11-14 | Amazon Technologies, Inc. | Parallel output paths for acoustic echo cancellation |
US9940949B1 (en) | 2014-12-19 | 2018-04-10 | Amazon Technologies, Inc. | Dynamic adjustment of expression detection criteria |
US9966059B1 (en) | 2017-09-06 | 2018-05-08 | Amazon Technologies, Inc. | Reconfigurale fixed beam former using given microphone array |
US9973849B1 (en) | 2017-09-20 | 2018-05-15 | Amazon Technologies, Inc. | Signal quality beam selection |
US9978387B1 (en) | 2013-08-05 | 2018-05-22 | Amazon Technologies, Inc. | Reference signal generation for acoustic echo cancellation |
US9997151B1 (en) | 2016-01-20 | 2018-06-12 | Amazon Technologies, Inc. | Multichannel acoustic echo cancellation for wireless applications |
WO2018118895A2 (en) | 2016-12-23 | 2018-06-28 | Amazon Technologies, Inc. | Voice activated modular controller |
US10062372B1 (en) | 2014-03-28 | 2018-08-28 | Amazon Technologies, Inc. | Detecting device proximities |
US10109294B1 (en) | 2016-03-25 | 2018-10-23 | Amazon Technologies, Inc. | Adaptive echo cancellation |
US10147439B1 (en) | 2017-03-30 | 2018-12-04 | Amazon Technologies, Inc. | Volume adjustment for listening environment |
US10147441B1 (en) | 2013-12-19 | 2018-12-04 | Amazon Technologies, Inc. | Voice controlled system |
US10229698B1 (en) | 2017-06-21 | 2019-03-12 | Amazon Technologies, Inc. | Playback reference signal-assisted multi-microphone interference canceler |
US10237647B1 (en) | 2017-03-01 | 2019-03-19 | Amazon Technologies, Inc. | Adaptive step-size control for beamformer |
US10304475B1 (en) | 2017-08-14 | 2019-05-28 | Amazon Technologies, Inc. | Trigger word based beam selection |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101656908A (en) * | 2008-08-19 | 2010-02-24 | 深圳华为通信技术有限公司 | Method for controlling sound focusing, communication device and communication system |
CN101510426B (en) * | 2009-03-23 | 2013-03-27 | 北京中星微电子有限公司 | Method and system for eliminating noise |
US20110096915A1 (en) * | 2009-10-23 | 2011-04-28 | Broadcom Corporation | Audio spatialization for conference calls with multiple and moving talkers |
US20110317522A1 (en) * | 2010-06-28 | 2011-12-29 | Microsoft Corporation | Sound source localization based on reflections and room estimation |
-
2011
- 2011-03-16 US US13/049,877 patent/US8861756B2/en not_active Ceased
-
2016
- 2016-10-14 US US15/293,626 patent/USRE47049E1/en active Active
-
2018
- 2018-08-02 US US16/052,623 patent/USRE48371E1/en active Active
Patent Citations (93)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5315562A (en) * | 1992-10-23 | 1994-05-24 | Rowe, Deines Instruments Inc. | Correlation sonar system |
US5825898A (en) | 1996-06-27 | 1998-10-20 | Lamar Signal Processing Ltd. | System and method for adaptive interference cancelling |
US6236862B1 (en) * | 1996-12-16 | 2001-05-22 | Intersignal Llc | Continuously adaptive dynamic signal separation and recovery system |
US6198693B1 (en) | 1998-04-13 | 2001-03-06 | Andrea Electronics Corporation | System and method for finding the direction of a wave source using an array of sensors |
US7068801B1 (en) | 1998-12-18 | 2006-06-27 | National Research Council Of Canada | Microphone array diffracting structure |
US20080112574A1 (en) | 2001-08-08 | 2008-05-15 | Ami Semiconductor, Inc. | Directional audio signal processing using an oversampled filterbank |
US20030204397A1 (en) * | 2002-04-26 | 2003-10-30 | Mitel Knowledge Corporation | Method of compensating for beamformer steering delay during handsfree speech recognition |
US20040071284A1 (en) | 2002-08-16 | 2004-04-15 | Abutalebi Hamid Reza | Method and system for processing subband signals using adaptive filters |
US7039199B2 (en) | 2002-08-26 | 2006-05-02 | Microsoft Corporation | System and process for locating a speaker using 360 degree sound source localization |
US20040161121A1 (en) * | 2003-01-17 | 2004-08-19 | Samsung Electronics Co., Ltd | Adaptive beamforming method and apparatus using feedback structure |
EP1538867A1 (en) | 2003-06-30 | 2005-06-08 | Harman Becker Automotive Systems GmbH | Handsfree system for use in a vehicle |
US20070055505A1 (en) | 2003-07-11 | 2007-03-08 | Cochlear Limited | Method and device for noise reduction |
US20070076898A1 (en) | 2003-11-24 | 2007-04-05 | Koninkiljke Phillips Electronics N.V. | Adaptive beamformer with robustness against uncorrelated noise |
US20060153360A1 (en) | 2004-09-03 | 2006-07-13 | Walter Kellermann | Speech signal processing with combined noise reduction and echo compensation |
US20060269080A1 (en) | 2004-10-15 | 2006-11-30 | Lifesize Communications, Inc. | Hybrid beamforming |
US7970151B2 (en) | 2004-10-15 | 2011-06-28 | Lifesize Communications, Inc. | Hybrid beamforming |
US20060245601A1 (en) | 2005-04-27 | 2006-11-02 | Francois Michaud | Robust localization and tracking of simultaneously moving sound sources using beamforming and particle filtering |
US20090073040A1 (en) | 2006-04-20 | 2009-03-19 | Nec Corporation | Adaptive array control device, method and program, and adaptive array processing device, method and program |
WO2008041878A2 (en) | 2006-10-04 | 2008-04-10 | Micronas Nit | System and procedure of hands free speech communication using a microphone array |
US20080181430A1 (en) | 2007-01-26 | 2008-07-31 | Microsoft Corporation | Multi-sensor sound source localization |
US20080232607A1 (en) | 2007-03-22 | 2008-09-25 | Microsoft Corporation | Robust adaptive beamforming with enhanced noise suppression |
US20090067642A1 (en) | 2007-08-13 | 2009-03-12 | Markus Buck | Noise reduction through spatial selectivity and filtering |
US20090141907A1 (en) * | 2007-11-30 | 2009-06-04 | Samsung Electronics Co., Ltd. | Method and apparatus for canceling noise from sound input through microphone |
US20090279714A1 (en) | 2008-05-06 | 2009-11-12 | Samsung Electronics Co., Ltd. | Apparatus and method for localizing sound source in robot |
US20090304200A1 (en) | 2008-06-09 | 2009-12-10 | Samsung Electronics Co., Ltd. | Adaptive mode control apparatus and method for adaptive beamforming based on detection of user direction sound |
KR20090128221A (en) | 2008-06-10 | 2009-12-15 | 삼성전자주식회사 | Method for sound source localization and system thereof |
US20100150364A1 (en) | 2008-12-12 | 2010-06-17 | Nuance Communications, Inc. | Method for Determining a Time Delay for Time Delay Compensation |
US20120327115A1 (en) | 2011-06-21 | 2012-12-27 | Chhetri Amit S | Signal-enhancing Beamforming in an Augmented Reality Environment |
US9973848B2 (en) | 2011-06-21 | 2018-05-15 | Amazon Technologies, Inc. | Signal-enhancing beamforming in an augmented reality environment |
US9116962B1 (en) | 2012-03-28 | 2015-08-25 | Amazon Technologies, Inc. | Context dependent recognition |
US20130265276A1 (en) | 2012-04-09 | 2013-10-10 | Amazon Technologies, Inc. | Multiple touch sensing modes |
WO2013155098A1 (en) | 2012-04-09 | 2013-10-17 | Amazon Technologies, Inc. | Multiple touch sensing modes |
US9354731B1 (en) | 2012-06-20 | 2016-05-31 | Amazon Technologies, Inc. | Multi-dimension touch input |
US8855295B1 (en) | 2012-06-25 | 2014-10-07 | Rawles Llc | Acoustic echo cancellation using blind source separation |
US8885815B1 (en) | 2012-06-25 | 2014-11-11 | Rawles Llc | Null-forming techniques to improve acoustic echo cancellation |
US9373338B1 (en) | 2012-06-25 | 2016-06-21 | Amazon Technologies, Inc. | Acoustic echo cancellation processing based on feedback from speech recognizer |
US9767828B1 (en) | 2012-06-27 | 2017-09-19 | Amazon Technologies, Inc. | Acoustic echo cancellation using visual cues |
US10242695B1 (en) | 2012-06-27 | 2019-03-26 | Amazon Technologies, Inc. | Acoustic echo cancellation using visual cues |
US9229526B1 (en) | 2012-09-10 | 2016-01-05 | Amazon Technologies, Inc. | Dedicated image processor |
US9423886B1 (en) | 2012-10-02 | 2016-08-23 | Amazon Technologies, Inc. | Sensor connectivity approaches |
US9332167B1 (en) | 2012-11-20 | 2016-05-03 | Amazon Technologies, Inc. | Multi-directional camera module for an electronic device |
US9658738B1 (en) | 2012-11-29 | 2017-05-23 | Amazon Technologies, Inc. | Representation management on an electronic device |
US9689960B1 (en) | 2013-04-04 | 2017-06-27 | Amazon Technologies, Inc. | Beam rejection in multi-beam microphone systems |
US8953777B1 (en) | 2013-05-30 | 2015-02-10 | Amazon Technologies, Inc. | Echo path change detector with robustness to double talk |
US9521249B1 (en) | 2013-05-30 | 2016-12-13 | Amazon Technologies, Inc. | Echo path change detector with robustness to double talk |
US20150006176A1 (en) | 2013-06-27 | 2015-01-01 | Rawles Llc | Detecting Self-Generated Wake Expressions |
US20180130468A1 (en) | 2013-06-27 | 2018-05-10 | Amazon Technologies, Inc. | Detecting Self-Generated Wake Expressions |
US9747899B2 (en) | 2013-06-27 | 2017-08-29 | Amazon Technologies, Inc. | Detecting self-generated wake expressions |
US9978387B1 (en) | 2013-08-05 | 2018-05-22 | Amazon Technologies, Inc. | Reference signal generation for acoustic echo cancellation |
US9473646B1 (en) | 2013-09-16 | 2016-10-18 | Amazon Technologies, Inc. | Robust acoustic echo cancellation |
US8983057B1 (en) | 2013-09-20 | 2015-03-17 | Amazon Technologies, Inc. | Step size control for acoustic echo cancellation |
US9591404B1 (en) | 2013-09-27 | 2017-03-07 | Amazon Technologies, Inc. | Beamformer design using constrained convex optimization in three-dimensional space |
US9704478B1 (en) | 2013-12-02 | 2017-07-11 | Amazon Technologies, Inc. | Audio output masking for improved automatic speech recognition |
US10147441B1 (en) | 2013-12-19 | 2018-12-04 | Amazon Technologies, Inc. | Voice controlled system |
US9319782B1 (en) | 2013-12-20 | 2016-04-19 | Amazon Technologies, Inc. | Distributed speaker synchronization |
US9319783B1 (en) | 2014-02-19 | 2016-04-19 | Amazon Technologies, Inc. | Attenuation of output audio based on residual echo |
US10062372B1 (en) | 2014-03-28 | 2018-08-28 | Amazon Technologies, Inc. | Detecting device proximities |
US10244313B1 (en) | 2014-03-28 | 2019-03-26 | Amazon Technologies, Inc. | Beamforming for a wearable computer |
US9432768B1 (en) | 2014-03-28 | 2016-08-30 | Amazon Technologies, Inc. | Beam forming for a wearable computer |
US9363616B1 (en) | 2014-04-18 | 2016-06-07 | Amazon Technologies, Inc. | Directional capability testing of audio devices |
US9432769B1 (en) | 2014-07-30 | 2016-08-30 | Amazon Technologies, Inc. | Method and system for beam selection in microphone array beamformers |
US9837099B1 (en) | 2014-07-30 | 2017-12-05 | Amazon Technologies, Inc. | Method and system for beam selection in microphone array beamformers |
US9677986B1 (en) | 2014-09-24 | 2017-06-13 | Amazon Technologies, Inc. | Airborne particle detection with user device |
US9456276B1 (en) | 2014-09-30 | 2016-09-27 | Amazon Technologies, Inc. | Parameter selection for audio beamforming |
US9390723B1 (en) | 2014-12-11 | 2016-07-12 | Amazon Technologies, Inc. | Efficient dereverberation in networked audio systems |
US9940949B1 (en) | 2014-12-19 | 2018-04-10 | Amazon Technologies, Inc. | Dynamic adjustment of expression detection criteria |
US9661438B1 (en) | 2015-03-26 | 2017-05-23 | Amazon Technologies, Inc. | Low latency limiter |
US9431982B1 (en) | 2015-03-30 | 2016-08-30 | Amazon Technologies, Inc. | Loudness learning and balancing system |
US9734845B1 (en) | 2015-06-26 | 2017-08-15 | Amazon Technologies, Inc. | Mitigating effects of electronic audio sources in expression detection |
US9918163B1 (en) | 2015-06-29 | 2018-03-13 | Amazon Technologies, Inc. | Asynchronous clock frequency domain acoustic echo canceller |
US9516410B1 (en) | 2015-06-29 | 2016-12-06 | Amazon Technologies, Inc. | Asynchronous clock frequency domain acoustic echo canceller |
US9678559B1 (en) | 2015-09-18 | 2017-06-13 | Amazon Technologies, Inc. | Determining a device state based on user presence detection |
US9589575B1 (en) | 2015-12-02 | 2017-03-07 | Amazon Technologies, Inc. | Asynchronous clock frequency domain acoustic echo canceller |
US9747920B2 (en) | 2015-12-17 | 2017-08-29 | Amazon Technologies, Inc. | Adaptive beamforming to create reference channels |
WO2017105998A1 (en) | 2015-12-17 | 2017-06-22 | Amazon Technologies, Inc. | Adaptive beamforming to create reference channels |
US20170178662A1 (en) | 2015-12-17 | 2017-06-22 | Amazon Technologies, Inc. | Adaptive beamforming to create reference channels |
US9820036B1 (en) | 2015-12-30 | 2017-11-14 | Amazon Technologies, Inc. | Speech processing of reflected sound |
US9614486B1 (en) | 2015-12-30 | 2017-04-04 | Amazon Technologies, Inc. | Adaptive gain control |
US9997151B1 (en) | 2016-01-20 | 2018-06-12 | Amazon Technologies, Inc. | Multichannel acoustic echo cancellation for wireless applications |
US9653060B1 (en) | 2016-02-09 | 2017-05-16 | Amazon Technologies, Inc. | Hybrid reference signal for acoustic echo cancellation |
US9967661B1 (en) | 2016-02-09 | 2018-05-08 | Amazon Technologies, Inc. | Multichannel acoustic echo cancellation |
US9659555B1 (en) | 2016-02-09 | 2017-05-23 | Amazon Technologies, Inc. | Multichannel acoustic echo cancellation |
US10109294B1 (en) | 2016-03-25 | 2018-10-23 | Amazon Technologies, Inc. | Adaptive echo cancellation |
US9754605B1 (en) | 2016-06-09 | 2017-09-05 | Amazon Technologies, Inc. | Step-size control for multi-channel acoustic echo canceller |
US9818425B1 (en) | 2016-06-17 | 2017-11-14 | Amazon Technologies, Inc. | Parallel output paths for acoustic echo cancellation |
WO2018118895A2 (en) | 2016-12-23 | 2018-06-28 | Amazon Technologies, Inc. | Voice activated modular controller |
US20180182387A1 (en) | 2016-12-23 | 2018-06-28 | Amazon Technologies, Inc. | Voice activated modular controller |
US10237647B1 (en) | 2017-03-01 | 2019-03-19 | Amazon Technologies, Inc. | Adaptive step-size control for beamformer |
US10147439B1 (en) | 2017-03-30 | 2018-12-04 | Amazon Technologies, Inc. | Volume adjustment for listening environment |
US10229698B1 (en) | 2017-06-21 | 2019-03-12 | Amazon Technologies, Inc. | Playback reference signal-assisted multi-microphone interference canceler |
US10304475B1 (en) | 2017-08-14 | 2019-05-28 | Amazon Technologies, Inc. | Trigger word based beam selection |
US9966059B1 (en) | 2017-09-06 | 2018-05-08 | Amazon Technologies, Inc. | Reconfigurale fixed beam former using given microphone array |
US9973849B1 (en) | 2017-09-20 | 2018-05-15 | Amazon Technologies, Inc. | Signal quality beam selection |
Non-Patent Citations (44)
Title |
---|
Afsaneh Asaei, Mohammad Javad Taghizadeh, Marjan Bahrololum, Mohammed Ghanbari, Verified speaker localization utiiizing voicing level in split-bands Signal Processing 89 (2009) 1038-1049, 12 pages. |
Andrea DA-350 Microphone Performance, 1 page. |
Andrea's Technologies Overview Oct. 21, 2001-Sep. 11, 2011, 4 pages. |
Baruch Berdugo, Miriam A. Doron, Judith Rosenhouse, Haim Azhari On direction finding of an emitting source from time delays 33 pages. |
Cha Zhang, Dinei Florencio, Demba E. Ba, and Zhengyou Zhang, Maximum Likelihood Sound Source Localization and Beamforming for Directional Microphone Arrays in Distributed Meetings, IEEE Transactions on Multimedia, vol. 10, No. 3, Apr. 2008, 11 pages |
Cha Zhang, Dinei Florencio, Demba E. Ba, Zhengyou Zhang, Maximum Likelihood Sound Source Localization and Beamforming for Directional Microphone Arrays in Distributed Meetings, Journal of Latex Class files, vol. 6, No. 1, Jan. 2007, 10 pages. |
Charles H. Knapp and G. Clifford Carter The Generalized Correlation Method for Estimation of Time Delay IEEE transactions on acoustics, speech, and signal processing, Vol, ASSP-24, No. 4, Aug. 1976, 8 pages. |
Crispmic USB-Based Microphone Array for Laptops and PCs LI Creative Technologies, Inc. 2 pages. |
DA-350 Auto Array Feb. 25, 2006-Jun. 29, 2016, 1 page. |
DA-350 Hands Free Linear Array Microphone, 1 page. |
Darpa 172 Phase I Selections from the 07.2 Solicitation, 69 pages. |
Digital Super Directional Array (DSDA® 2.0) Far-Field Microphone Technology, 1 page. |
Dmitry N. Zotkin , Ramani Duraiswami Accelerated Speech Source Localization via a Hierarchical Search of Steered Response Power University of Maryland,MD,USA , 20 pages. |
Doh H. Johnson and Dan E. Dudgeon Array Signal Processing: Concepts and Techniques, 1993 Prentice Hall Signal Processing Series, 554 pages. |
EchoStop, Digital Noise Reduction Technology, 1 page. |
Group Videoconferencing Systems: Video Made Easy HD5000 Series, Multimedia Workgroup Conferencing System, Installation & Setup Guide, 70 pages. |
Harry L. Van Trees Arrays and Spatial Filters, Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory, John Wiley & Sons, Inc., 73 pages. |
Harry L. Van Trees Optimum Array Processing, Part IV of Detection, Estimation, and Modulation Theory A John Wiley & Sons, Inc., Publication, 192 pages. |
Introducing First Low-cost, Light-weight, and Portable USB Array Microphone for Consumer Market, Li Creative Technologies, Inc., Feb. 2. 2010, 1 page. |
Ivan J. Tashev, Sound Capture and Processing Practical Approaches, 2009 Wiley Publisher, 196 pages. |
Jacek Dmochowski, Jacob Benesty, Sofiane Affes Direction of Arrival Estimation Using the Parameterized Spatial Correlation Matrix, IEEE Transaction on Audio, Speech, and Language Processing, vol. 15, No. 4, May 2007. |
John Mcdonough, Kenichi Kumatani, Matthias Wolfel,Tobias Gehrig,Emilian Stoimenov, Uwe Mayer, Stefan Schacht, and Dietrich Klakow To Separate Speech! A System for Recognizing Simultaneous Speech, Jun. 2007, 13 pages. |
Joseph Hector Dibiase, A High-Accuracy, Low-Latency Technique for Talker Localization in Reverberant Environments Using Microphone Arrays, Thesis, Division of Engineering at Brown University, Providence, Rhode Island, May 2000, 122 pages. |
Joseph Marash DSDA, Andrea Electronics Corporation Technology, 4 pages. |
Manli Zhu, Qi (Peter) Li, Joshua J. Hajicek Circular and Linear Microphone Arrays for Robust Speech Recognition and Conference Phone, ICASSP 2009 Thursday, Apr. 23, 2009, 1 page. |
Matthias Wolfel and John McDonough Distant Speech Recognition A John Wiley and Sons, Ltd. Publication, 2009, 592 pages. |
MediaConnect 9000 A workgroup conferencing system for medium and large room environments, 1 page. |
Michael Brandstein, Darren Ward Microphone Arrays,Signal Processing Techniques and Applications Springer-Verlag,Berlin,Heidelberg,New York in 2001, 401 pages. |
Osamu Hoshuyama, Akihiko Sugiyama, and Akihiro Hirano, A Robust Adaptive Beamformer for Microphone Arrays with a Blocking Matrix Using Constrained Adaptive Filters, IEEE Transactions on Signal Processing, vol. 47, No. 10, Oct. 1999, 8 Pgs. |
PureAudio 2.0 Noise Reduction Algorithm, 1 page. |
Qi (Peter) Li, "A Portable USB-Based Mirophone Array Device For Robust Speech Recognition", "2009 IEEE International Conference on Acoustics, Speech, and Signal Processing", Apr. 19-24, 2009, Seven pages. |
Qi (Peter) Li, Manli Zhu, and Wei Li A Portable Usb-Based Mirophone Array Device For Robust Speech Recognition IEEE International Conference on Acoustics, Speech and Signal Processing Proceedings, Apr. 19-24, 2009, 7 pages. |
Qi (Peter) Li, Manli Zhu, and Wei Li, "A Portable USB-Based Mirophone Array Device For Robust Speech Recognition", "2009 IEEE International Conference on Acoustics, Speech, and Signal Processing", Apr. 19-24, 2009, 7 pages. |
Qi Li, Manli Zhu, Wei Li A portable USB-based microphone array device for robustn speech recognition IEEE International Conference on Acoustics, Speech and Signal Processing, Apr. 19-24, 2009, 2 pages. |
Scott Matthew Griebel, A Microphone Array System for Speech Source Localization, Denoising and Dereverberation, Thesis, The Division of Engineering and Applied Sciences,Harvard University,Cambridge,Massachusetts, Apr. 2002 163 pages. |
US 9,711,140 B2, 07/2017, Ayrapetian et al. (withdrawn) |
VCON Group Videoconferencing Systems HD4000 Software-only Multimedia Videoconferencing Version 3.5, 50 pages. |
VCON Group Videoconferencing Systems HD5000 Series Rollabout and Compact Systems Installation & Setup Guide, 74 pages. |
VCON-Hardware Addons-Introducing VoiceFinder, Sep. 23, 2003-Feb. 25, 2004, 2 pages. |
VCON—Hardware Addons—Introducing VoiceFinder, Sep. 23, 2003-Feb. 25, 2004, 2 pages. |
VCON-Hardware Addons-VoiceFinder Sep. 23, 2003-Feb. 8, 2004, 1 page. |
VCON—Hardware Addons—VoiceFinder Sep. 23, 2003-Feb. 8, 2004, 1 page. |
VCON-Solutions-Videoconferencing-Group Video Products MediaConnect 9000 Sep. 21, 2003-Feb. 8, 2004, 1 page. |
VCON—Solutions—Videoconferencing—Group Video Products MediaConnect 9000 Sep. 21, 2003-Feb. 8, 2004, 1 page. |
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USRE47049E1 (en) | 2018-09-18 |
US8861756B2 (en) | 2014-10-14 |
US20120076316A1 (en) | 2012-03-29 |
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