CN114255730A - Path compensation function determination method and device, and active noise reduction method and device - Google Patents

Path compensation function determination method and device, and active noise reduction method and device Download PDF

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CN114255730A
CN114255730A CN202111022939.4A CN202111022939A CN114255730A CN 114255730 A CN114255730 A CN 114255730A CN 202111022939 A CN202111022939 A CN 202111022939A CN 114255730 A CN114255730 A CN 114255730A
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noise reduction
target
determining
monitoring
position information
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徐银海
刘益帆
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Beijing Ansheng Haolang Technology Co ltd
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    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
    • G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
    • G10K11/1781—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions
    • G10K11/17813—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions characterised by the analysis of the acoustic paths, e.g. estimating, calibrating or testing of transfer functions or cross-terms
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
    • G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
    • G10K11/1785—Methods, e.g. algorithms; Devices
    • G10K11/17853—Methods, e.g. algorithms; Devices of the filter
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
    • G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
    • G10K11/1787—General system configurations
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K2210/00—Details of active noise control [ANC] covered by G10K11/178 but not provided for in any of its subgroups
    • G10K2210/30—Means
    • G10K2210/301—Computational
    • G10K2210/3031—Hardware, e.g. architecture

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Abstract

The application provides a path compensation function determination method, which is applied to an active noise reduction scene comprising a target sound source and a target noise reduction area which synchronously move relative to a feedback active noise reduction system, and comprises the following steps: determining target sound source position information corresponding to a target sound source based on a sound signal set acquired by a monitoring microphone array; determining target noise reduction area position information corresponding to the target sound source position information based on the target sound source position information; determining a first path compensation function based on monitoring microphone position information and target noise reduction area position information corresponding to each monitoring microphone in the monitoring microphone array; and determining a second path compensation function based on the position information of the loudspeaker corresponding to each loudspeaker in the feedback active noise reduction system and the position information of the target noise reduction area, and providing a basis for determining the noise reduction signal aiming at the target noise reduction area in real time, so that the noise of the target noise reduction area is minimized.

Description

Path compensation function determination method and device, and active noise reduction method and device
Technical Field
The present application relates to the field of active noise reduction technologies, and in particular, to a method and an apparatus for determining a path compensation function, a method and an apparatus for active noise reduction, an electronic device, and a computer-readable storage medium.
Background
In a feedback active noise reduction system, a secondary path transfer function needs to be predetermined to design noise reduction parameters of a feedback noise reduction filter so as to reduce noise of a target noise reduction region.
However, for a noise field scene, such as a vehicle cabin scene, the target noise reduction region usually moves relative to the feedback active noise reduction system, and the target noise reduction region and each electroacoustic path are unknown and not fixed, so that it is completely impossible to track the target noise reduction region in real time to adapt to the targeted optimal noise reduction.
Disclosure of Invention
In view of this, embodiments of the present application provide a method and an apparatus for determining a path compensation function, an active noise reduction method and an apparatus, an electronic device, and a computer-readable storage medium, so as to determine a path compensation function in real time based on a target noise reduction region that changes at any time, and provide a basis for determining an optimal noise reduction parameter for the target noise reduction region in real time.
According to a first aspect of embodiments of the present application, there is provided a method for determining a path compensation function, which is applied to an active noise reduction scene including a target sound source and a target noise reduction region that move synchronously with respect to a feedback active noise reduction system, where the target sound source and the noise source are independent of each other, the method including: determining target sound source position information corresponding to a target sound source based on a sound signal set acquired by a monitoring microphone array; determining target noise reduction area position information corresponding to the target sound source position information based on the target sound source position information; determining a first path compensation function based on monitoring microphone position information and target noise reduction area position information corresponding to each monitoring microphone in the monitoring microphone array; and determining a second path compensation function based on the speaker position information corresponding to each speaker in the feedback active noise reduction system and the position information of the target noise reduction area.
In one embodiment, determining target sound source position information corresponding to a target sound source based on a set of acoustic signals collected by a monitoring microphone array includes: for every two monitoring microphones in the monitoring microphone array, determining cross-correlation information of two monitoring microphone channels based on a first sound signal and a second sound signal respectively collected by the two monitoring microphones; determining time difference information of the sound signals emitted by the target sound source reaching the two monitoring microphones based on the cross-correlation information, thereby determining azimuth angle information of the target sound source relative to the two monitoring microphones; and determining the position information of the target sound source based on the azimuth angle information corresponding to each two monitoring microphones in the monitoring microphone array.
In one embodiment, the cross-correlation information includes cross-correlation function information, wherein determining time difference information of arrival of the acoustic signal emitted by the target sound source at the two monitoring microphones based on the cross-correlation information includes: determining peak information of the cross-correlation function based on the cross-correlation function information; time difference information is determined based on the peak information.
In one embodiment, determining the cross-correlation information of the two monitoring microphones based on the first acoustic signal and the second acoustic signal respectively collected by the two monitoring microphones comprises: determining the cross-spectrum function information corresponding to the first sound signal and the second sound signal; determining weighted spectral function information corresponding to the first acoustic signal and the second acoustic signal based on the cross-spectral function information; cross-correlation function information is determined based on the cross-spectrum function information and the weighted spectrum function information.
In one embodiment, determining target noise reduction region position information corresponding to the target sound source position information based on the target sound source position information includes: and determining the position information of the target noise reduction area based on the position information of the target sound source and the preset distance information between the target sound source and the target noise reduction area.
In one embodiment, determining the first path compensation function based on the position information of the monitoring microphone and the position information of the target noise reduction area corresponding to each monitoring microphone in the monitoring microphone array includes: determining a first path compensation function by taking a coordinate corresponding to the position information of the monitoring microphone as a transfer starting point and a coordinate corresponding to the position information of the target noise reduction area as a transfer end point; and/or, wherein the determining the second path compensation function based on the speaker position information and the target noise reduction area position information corresponding to each speaker in the feedback active noise reduction system comprises: and determining a second path compensation function by taking the coordinate corresponding to the loudspeaker position information as a transfer starting point and the coordinate corresponding to the target noise reduction area position information as a transfer end point.
According to a second aspect of the embodiments of the present application, there is provided an active noise reduction method, including: determining a monitoring position noise signal corresponding to the monitoring position error signal based on the monitoring position error signal acquired by the monitoring microphone; determining a target noise reduction area noise signal corresponding to the monitoring position noise signal based on the monitoring position noise signal and the first path compensation function; determining a target noise reduction area error signal corresponding to the target noise reduction area noise signal based on the target noise reduction area noise signal and a second path compensation function, wherein the first path compensation function and/or the second path compensation function is determined based on the path compensation function determination method of the first aspect; determining a noise reduction parameter based on the target noise reduction region noise signal and the target noise reduction region error signal; and generating a noise reduction signal based on the noise signal of the target noise reduction region and the noise reduction parameter so as to reduce the noise of the target noise reduction region.
According to a third aspect of the embodiments of the present application, there is provided a path compensation function determining apparatus, applied to an active noise reduction scene including a target sound source and a target noise reduction region moving synchronously with respect to a feedback active noise reduction system, where the target sound source and the target noise source are independent of each other, the apparatus including: the first determining module is configured to determine target sound source position information corresponding to a target sound source based on a sound signal set collected by the monitoring microphone array; the second determining module is configured to determine target noise reduction area position information corresponding to the target sound source position information based on the target sound source position information; the third determining module is configured to determine a first path compensation function based on the position information of the monitoring microphone corresponding to each monitoring microphone in the monitoring microphone array and the position information of the target noise reduction area; and the fourth determining module is configured to determine a second path compensation function based on the speaker position information corresponding to the speaker and the target noise reduction area position information.
According to a fourth aspect of embodiments of the present application, there is provided an active noise reduction device, including: the fifth determining module is configured to determine a monitoring position noise signal corresponding to the monitoring position error signal based on the monitoring position error signal acquired by the monitoring microphone; a sixth determining module, configured to determine a target noise reduction region noise signal corresponding to the monitored position noise signal according to the monitored position noise signal and the first path compensation function; a seventh determining module, configured to determine a target noise reduction area error signal corresponding to the target noise reduction area noise signal based on the target noise reduction area noise signal and a second path compensation function, where the first path compensation function and/or the second path compensation function are determined based on the path compensation function determining method of the first aspect; an eighth determining module configured to determine a noise reduction parameter based on the target noise reduction region noise signal and the target noise reduction region error signal; and the noise reduction module is configured to generate a noise reduction signal based on the noise reduction parameters so as to reduce the noise of the target noise reduction area.
According to a fifth aspect of embodiments of the present application, there is provided an electronic apparatus, including: a processor; and a memory having stored therein computer program instructions which, when executed by the processor, cause the processor to perform the path compensation function determination method as described above in the first aspect or the active noise reduction method as described above in the second aspect.
According to a sixth aspect of embodiments of the present application, there is provided a computer-readable storage medium having stored thereon computer program instructions which, when executed by a processor, cause the processor to perform the path compensation function determination method as described in the first aspect above or the active noise reduction method as described in the second aspect above.
The method for determining the path compensation function is applied to an active noise reduction scene comprising a target sound source and a target noise reduction area which synchronously move relative to a feedback active noise reduction system. Determining target sound source position information corresponding to a target sound source based on a sound signal set acquired by a monitoring microphone array, realizing real-time positioning of the target sound source, determining target noise reduction area position information corresponding to the target sound source position information based on the target sound source position information, realizing real-time positioning of a target noise reduction area, and determining a first path compensation function based on monitoring microphone position information corresponding to each monitoring microphone in the monitoring microphone array and the target noise reduction area position information; and determining a second path compensation function based on the position information of the loudspeaker corresponding to each loudspeaker in the feedback active noise reduction system and the position information of the target noise reduction area, and providing a basis for determining the noise reduction signal aiming at the target noise reduction area in real time, so that the noise of the target noise reduction area is minimized.
Drawings
Fig. 1 is a schematic flow chart illustrating a method for determining a path compensation function according to an embodiment of the present disclosure.
Fig. 2 is a schematic flowchart illustrating a method for determining a path compensation function according to an embodiment of the present disclosure.
Fig. 3 is a schematic flowchart illustrating a method for determining a path compensation function according to an embodiment of the present disclosure.
Fig. 4 is a flowchart illustrating a method for determining a path compensation function according to an embodiment of the present application.
Fig. 5 is a flowchart illustrating a method for determining a path compensation function according to an embodiment of the present disclosure.
Fig. 6 is a flowchart illustrating a method for determining a path compensation function according to an embodiment of the present disclosure.
Fig. 7 is a schematic flowchart of an active noise reduction method according to an embodiment of the present application.
Fig. 8 is a schematic structural diagram of a path compensation function determining apparatus according to an embodiment of the present application.
Fig. 9 is a schematic structural diagram of a path compensation function determining apparatus according to an embodiment of the present application.
Fig. 10 is a schematic structural diagram of an active noise reduction device according to an embodiment of the present application.
Fig. 11 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Exemplary Path Compensation function determination method
Fig. 1 is a schematic flow chart illustrating a method for determining a path compensation function according to an embodiment of the present disclosure. The method for determining the path compensation function provided by the embodiment of the application can be applied to an active noise reduction scene comprising a target sound source and a target noise reduction area which synchronously move relative to a feedback active noise reduction system, wherein the target sound source and the noise source are independent.
For example, for an active noise reduction scene such as a vehicle cabin, the target noise reduction area is an eardrum of human ears, the target sound source is a mouth of a passenger in the vehicle cabin, and the noise includes a background sound signal emitted by a non-target sound source. Because the eardrum of the human ear can not be provided with the microphone, the monitoring microphone array is arranged in the headrest of the vehicle seat, the ceiling of the vehicle cabin or the positions of the A column, the B column, the C column, the D column and the like of the vehicle.
When the head of the passenger rotates or the position of the passenger moves (i.e. when the target sound source and the target noise reduction region move synchronously relative to the feedback active noise reduction system), the position of the eardrum of the human ear and the secondary path (the transmission path between the speaker and the eardrum of the human ear) are unknown and unfixed, the eardrum of the human ear cannot be tracked in real time so as to adapt to the targeted optimal noise reduction, and the target noise reduction region cannot be tracked in real time so as to adapt to the targeted optimal noise reduction.
Therefore, the embodiment of the application provides a path compensation function determination method, which can determine a path compensation function in real time based on a target noise reduction region which changes at any time, and provide a basis for determining a noise reduction signal for the target noise reduction region in real time. Specifically, as shown in fig. 1, the method for determining a path compensation function provided in the embodiment of the present application includes the following steps.
Step 101: and determining target sound source position information corresponding to the target sound source based on the sound signal set acquired by the monitoring microphone array.
Specifically, the monitoring microphones in the monitoring microphone array can not only collect the residual noise signals after being denoised at the positions of the monitoring microphones, but also collect the sound signals transmitted to the positions of the monitoring microphones by the target sound source. Because the position of the target sound source is changed at any time, and when the target sound source is at different positions, the sound signal sets collected by the monitoring microphone array are different, the position information of the target sound source corresponding to the target sound source can be determined based on the sound signal sets collected by the monitoring microphone array, and the positioning of the target sound source is realized.
For example, for an active noise reduction scene of a vehicle cabin, the monitoring microphones in the microphone array can collect not only residual noise signals after noise reduction at each monitoring microphone, but also acoustic signals transmitted to each monitoring microphone by the mouth. When the head of the passenger rotates or the position of the passenger moves, the mouth of the passenger is in different positions, and the sound signal sets acquired by the monitoring microphone arrays are different, so that the position information of the mouth of the passenger can be determined based on the sound signal sets acquired by the monitoring microphone arrays, and the positioning of the mouth of the passenger is realized.
Step 102: and determining target noise reduction area position information corresponding to the target sound source position information based on the target sound source position information.
Specifically, considering that the target sound source and the target noise reduction area move synchronously to the feedback active noise reduction system, the target noise reduction area can be determined in real time by positioning the target sound source in real time.
For example, when the head of a passenger rotates or the position of the passenger moves, eardrums of a mouth and a human ear move simultaneously, when the mouth of the passenger in the vehicle cabin produces sound, the mouth of the passenger can be positioned according to a sound signal set collected by a monitoring microphone array in the vehicle cabin, and the position of the eardrum of the ear of the passenger can be transitionally positioned according to the position of the mouth of the passenger and the preset distance of the eardrum of the ear, namely the position information of a target noise reduction area is obtained.
Step 103: and determining a first path compensation function based on the position information of the monitoring microphone corresponding to each monitoring microphone in the monitoring microphone array and the position information of the target noise reduction area.
Specifically, the first path compensation function is used for equivalently simulating a transfer path between each monitoring microphone in the monitoring microphone array and a target noise reduction area in the feedback active noise reduction system, so as to deduce a noise signal which is actually required to be subjected to noise reduction but cannot be directly measured in the target noise reduction area according to a noise signal at a monitoring position of each monitoring microphone. After the position of each monitoring microphone and the position of the target noise reduction area are respectively determined, a first path compensation function can be determined.
Step 104: and determining a second path compensation function based on the speaker position information corresponding to each speaker in the feedback active noise reduction system and the position information of the target noise reduction area.
Specifically, the second path compensation function is used for equivalently simulating a transfer path between the input end of each loudspeaker in the feedback active noise reduction system and the target noise reduction area. After the position of each speaker and the position of the target noise reduction area are determined, respectively, a second path compensation function may be determined.
In the design of the active noise reduction system, the second path compensation function determined in real time is used as a secondary path transfer function of an active noise reduction scene, a target noise reduction area noise signal is derived according to a monitoring position error signal acquired by a monitoring microphone and the first path compensation function, and the optimal noise reduction parameter of a target noise reduction area which is actually time-varying and cannot be directly observed by the microphone can be obtained.
The method is applied to an active noise reduction scene comprising a target sound source and a target noise reduction area which move synchronously relative to a feedback active noise reduction system. Determining target sound source position information corresponding to a target sound source based on a sound signal set acquired by a monitoring microphone array, realizing real-time positioning of the target sound source, determining target noise reduction area position information corresponding to the target sound source position information based on the target sound source position information, realizing real-time positioning of a target noise reduction area, and determining a first path compensation function based on monitoring microphone position information corresponding to each monitoring microphone in the monitoring microphone array and the target noise reduction area position information; and determining a second path compensation function based on the position information of the loudspeaker corresponding to each loudspeaker in the feedback active noise reduction system and the position information of the target noise reduction area, and providing a basis for determining the noise reduction signal aiming at the target noise reduction area in real time, so that the noise of the target noise reduction area is minimized.
Fig. 2 is a schematic flowchart illustrating a method for determining a path compensation function according to an embodiment of the present disclosure. As shown in fig. 2, the step of determining the position information of the target sound source corresponding to the target sound source based on the set of acoustic signals collected by the monitoring microphone array includes the following steps.
It will be appreciated that the following steps need to be performed for each two monitoring microphones of the monitoring microphone array.
Step 201: and determining the cross-correlation information of the two monitoring microphone channels based on the first sound signal and the second sound signal respectively collected by the two monitoring microphones.
In particular, the cross-correlation information of the two monitoring microphone channels can characterize the correlation between the first acoustic signal and the second acoustic signal. Through the first sound signal and the second sound signal collected by the two monitoring microphones, the correlation between the first sound signal and the second sound signal is determined, and a basis is provided for subsequent target sound source positioning.
Step 202: and determining time difference information of the sound signals emitted by the target sound source reaching the two monitoring microphones based on the cross-correlation information, thereby determining azimuth angle information of the target sound source relative to the two monitoring microphones.
Specifically, since the time node of the acoustic signal received by each of the first and second microphones is correlated with the direction of arrival angle of the target sound source, the direction information of the target sound source with respect to the first and second microphones can be determined by estimating the time difference information between the acoustic signals received by each of the first and second microphones.
For example, the first acoustic signal is denoted x1(t) the second acoustic signal is denoted x2(t), the following equations (1) and (2) can be obtained.
x1(t)＝s(t-τ1)+n1(t) (1)
x2(t)＝s(t-τ2)+n2(t) (2)
In the formulae (1) and (2), τ1For the time, τ, of arrival of the original acoustic signal emitted by the target source at the first monitoring microphone2For the time, s (t- τ), of arrival of the original acoustic signal emitted by the target source at the second monitoring microphone1) And s (t- τ)2) The original sound signal emitted by the target sound source reaches the sound signals of the first monitoring microphone and the second monitoring microphone respectively after corresponding delay, n1(t) and n2And (t) the first monitoring microphone and the second monitoring microphone respectively collect sound signals (such as wind noise signals in the vehicle cabin, background noise signals and the like) of non-target sound sources.
Then, a cross-correlation function between the first acoustic signal and the second acoustic signal
Figure BDA0003242273500000071
Can be determined based on the following formula (3).
Figure BDA0003242273500000072
In equation (3), τ is the time difference between the arrival of the acoustic signal at the first monitoring microphone and the second monitoring microphone from the target sound source.
Step 203: and determining the position information of the target sound source based on the azimuth angle information corresponding to each two monitoring microphones in the monitoring microphone array.
Specifically, through the above steps 201 and 202, azimuth angle information corresponding to each of two monitoring microphones is obtained. And determining the position information of the target sound source based on the azimuth angle information corresponding to each two monitoring microphones in the microphone array.
In the embodiment of the application, for every two monitoring microphones in a monitoring microphone array, firstly, based on a first sound signal and a second sound signal respectively collected by the two monitoring microphones, cross-correlation information of two monitoring microphone channels is determined; then, determining time difference information of the sound signals emitted by the target sound source reaching the two monitoring microphones based on the cross-correlation information; determining azimuth angle information of the target sound source relative to the two monitoring microphones based on the time difference information; after azimuth angle information of every two monitoring microphones in the detection microphone array is obtained respectively, target sound source position information is determined based on the azimuth angle information corresponding to every two monitoring microphones in the detection microphone array. The target sound source can be positioned in real time, so that the purpose of determining the target noise reduction area in real time is achieved.
Fig. 3 is a schematic flowchart illustrating a method for determining a path compensation function according to an embodiment of the present disclosure. Illustratively, the cross-correlation information includes cross-correlation function information. As shown in fig. 3, the step of determining time difference information of arrival of the acoustic signal emitted by the target sound source at the two monitoring microphones based on the cross-correlation information includes the following steps.
Step 301: peak information of the cross-correlation function is determined based on the cross-correlation function information.
Step 302: time difference information is determined based on the peak information.
By way of example, the example of fig. 3 is extended on the basis of the example mentioned in fig. 2, and on the basis of the formula (3) of the embodiment shown in fig. 2, it is assumed that the target signal s (t- τ) is picked up by the first monitoring microphone1) With the acquired noise signal n1(t) uncorrelated, target signal s (t- τ) picked up by the second monitoring microphone2) With the acquired noise signal n2(t) uncorrelated, and omnidirectional, noise signals n1(t) and a noise signal n2(t) are also uncorrelated, and the cross-correlation function between the first acoustic signal and the second acoustic signal is then described in equation (3)
Figure BDA0003242273500000073
It can be simplified to the following equation (4).
Figure BDA0003242273500000081
As can be seen from the above equation (4), if and only if τ ═ τ12＝τ1-τ2In this case, the cross-correlation function described in equation (4) has a peak. Therefore, the peak value information of the cross-correlation function can be estimated by searchingAnd the time difference information of the sound signals emitted by the target sound source reaching the first monitoring microphone and the second monitoring microphone of the earphone can further determine the azimuth angle information of the target sound source relative to the two monitoring microphones.
In the embodiment of the application, the peak value information of the cross-correlation function is determined based on the cross-correlation function information, and the time difference information is determined based on the peak value information, so that the purpose of determining the time difference information of the target sound source from the interest signal to the first microphone and the second microphone based on the cross-correlation information is achieved, and a basis is provided for the subsequent positioning of the target sound source.
Further, consider the first acoustic signal x for low signal-to-noise ratios1(t) and a second acoustic signal x2(t), cross correlation function Rx1x2The peak value of (τ) may not be obvious or there may be non-unique peak values, which in turn may result in poor accuracy of the obtained time difference information or even failure to determine the time difference. To this end, the present application redefines the cross-correlation function to highlight the peaks of the cross-correlation function with the aid of the embodiment shown in fig. 4.
Fig. 4 is a flowchart illustrating a method for determining a path compensation function according to an embodiment of the present application. As shown in fig. 4, the step of determining the cross-correlation information of the two monitoring microphones based on the first acoustic signal and the second acoustic signal respectively collected by the two monitoring microphones includes the following steps.
Step 401: the cross-spectral function information corresponding to the first acoustic signal and the second acoustic signal is determined.
Step 402: weighted spectral function information corresponding to the first acoustic signal and the second acoustic signal is determined based on the cross-spectral function information.
Step 403: cross-correlation function information is determined based on the cross-spectrum function information and the weighted spectrum function information.
For example, the weighted modified cross-correlation function information (i.e., cross-correlation information)
Figure BDA0003242273500000082
Can be determined based on the following formula (5).
Figure BDA0003242273500000083
In the formula (5), the first and second groups,
Figure BDA0003242273500000084
information indicative of a cross-spectral (cross-power-spectral) function of the first acoustic signal and the second acoustic signal, phi12(f) Representing weighted spectral function information.
In addition, the weighted spectrum function information may be determined based on the following formula (6).
Figure BDA0003242273500000085
Based on the weighted spectrum function information in the above equation (6), the amplitude of the cross spectrum is normalized to a constant 1, and the following equation (7) is obtained by deriving the above equation (5).
Figure BDA0003242273500000091
The above formula shows that the cross-correlation function is converted into a delay pulse, the peak value is remarkably highlighted, and the estimation accuracy of the time difference can be ensured when the signal-to-noise ratio of the first acoustic signal and the second acoustic signal respectively collected by the two monitoring microphones is extremely low.
In the embodiment of the present application, the first acoustic signal x with low signal-to-noise ratio is considered1(t) and a second acoustic signal x2(t), the peak of the cross-correlation function may not be obvious or there may be an un-unique peak, which may result in the accuracy of the obtained time difference information being poor to be unable to determine the time difference. Based on the above, the cross-spectrum function information corresponding to the first acoustic signal and the second acoustic signal is determined, the weighted spectrum function information corresponding to the first acoustic signal and the second acoustic signal is determined based on the cross-spectrum function information, and then the peak value of the cross-correlation function is highlighted in a manner of determining the cross-correlation function information based on the cross-spectrum function information and the weighted spectrum function information, so that the purpose of determining the time difference information based on the peak value information is achieved.
Fig. 5 is a flowchart illustrating a method for determining a path compensation function according to an embodiment of the present disclosure. As shown in fig. 5, the step of determining the position information of the target noise reduction region corresponding to the position information of the target sound source based on the position information of the target sound source includes the following steps.
Step 501: and acquiring preset distance information between the target sound source and the target noise reduction area.
Specifically, the preset distance information is a preset distance between the target sound source and the target noise reduction region, and includes, for example: for the vehicle cabin scene, the target sound source is the mouth of a passenger in the vehicle cabin, the target noise reduction area is the position of the eardrum of the ear of the passenger, and the distance between the mouth of the passenger and the eardrum is preset.
Step 502: and determining the position information of the target noise reduction area based on the position information of the target sound source and the preset distance information.
Specifically, the position of the target sound source is overcompensated by using preset distance information, and a real target noise reduction area is obtained.
For example: the method comprises the steps of presetting the distance between a passenger's mouth and eardrums of ears in advance, obtaining preset distance information, and after the passenger's mouth is positioned, determining the positions of the eardrums of the passengers ' ears according to the preset distance information, namely determining the positions of target noise reduction areas.
In the embodiment of the application, the target noise reduction area is determined in real time by acquiring the preset distance information between the target sound source and the target noise reduction area and positioning the target sound source in real time based on the target sound source position information and the preset distance information.
Fig. 6 is a flowchart illustrating a method for determining a path compensation function according to an embodiment of the present disclosure. As shown in fig. 6, the step of determining the first path compensation function based on the position information of the monitoring microphone corresponding to each monitoring microphone in the monitoring microphone array and the position information of the target noise reduction area includes the following steps.
Step 601: and determining a first path compensation function by taking the coordinate corresponding to the position information of the monitoring microphone as a transfer starting point and the coordinate corresponding to the position information of the target noise reduction area as a transfer end point.
Specifically, for each monitoring microphone in the monitoring microphone array in the feedback active noise reduction system, a coordinate corresponding to the position information of the monitoring microphone is used as a transfer starting point, a coordinate corresponding to the position information of the target noise reduction area is used as a transfer end point, a noise signal is spatially transferred between the monitoring microphone and the target noise reduction area, and a corresponding first path compensation function can be determined based on a point-to-point transmission mode.
The method comprises the following steps of determining a first path compensation function based on speaker position information corresponding to each speaker in a feedback active noise reduction system and target noise reduction area position information.
Step 602: and determining a second path compensation function by taking the coordinate corresponding to the loudspeaker position information as a transfer starting point and the coordinate corresponding to the target noise reduction area position information as a transfer end point.
Specifically, for each speaker in the speaker array in the feedback active noise reduction system, the coordinates corresponding to the speaker position information are used as a transfer starting point, the coordinates corresponding to the target noise reduction area position information are used as a transfer end point, and a starting point and an end point corresponding to a second compensation path, that is, a starting point and an end point of a secondary path corresponding to a noise reduction sound source (secondary source) in an active noise reduction scene are determined, so that a second path compensation function, that is, a secondary path transfer function corresponding to the speaker is determined.
In the embodiment of the application, the purpose of determining the first path compensation function is achieved by using the coordinate information in the position information of the target noise reduction area obtained in real time and the coordinate information in the position information of the detection microphone corresponding to each monitoring microphone in the monitoring microphone array. And the purpose of determining the second path compensation function is realized by utilizing the coordinate information in the position information of the target noise reduction area acquired in real time and the coordinate information in the position information of the loudspeaker corresponding to each loudspeaker.
Considering that in a feedback active noise reduction system, a secondary path transfer function needs to be predetermined to design noise reduction parameters of a feedback noise reduction filter so as to reduce noise of a target noise reduction area, however, the position where a microphone is actually arranged often has to deviate from a real noise reduction area to be reduced, so that the secondary path transfer function is unknown and unfixed, and an optimal noise reduction parameter for the target noise reduction area cannot be determined. Based on this, the method for determining a path compensation function provided in the embodiment of the present application determines a first path compensation function and a second path compensation function by locating a target sound source in real time and locating a target noise reduction area in real time, and uses the second path compensation function determined in real time as a secondary path transfer function of an active noise reduction scene, and derives a noise signal of the target noise reduction area according to a monitoring position error signal acquired by a monitoring microphone and the first path compensation function, so as to obtain an optimal noise reduction parameter for the target noise reduction area which is actually, time-varying and which cannot be directly observed by the microphone.
Exemplary active noise reduction method
Fig. 7 is a schematic flowchart of an active noise reduction method according to an embodiment of the present application. As shown in fig. 7, the active noise reduction method includes the following steps.
Step 701: and determining a monitoring position noise signal corresponding to the monitoring position error signal based on the monitoring position error signal acquired by the monitoring microphone.
Specifically, the monitor position error signal is a noise signal remaining after noise reduction at the monitor position. And forming a monitoring position error signal after the monitoring position noise signal is superposed with the monitoring position noise reduction signal. The monitoring position noise reduction signal is eliminated by the adder after the monitoring position error signal is collected by the monitoring microphone, and a monitoring position noise signal corresponding to the monitoring position error signal can be obtained.
Illustratively, the monitor position noise reduction signal is determined based on the initial noise reduction signal and a transfer function between the speaker input and the monitor position.
Step 702: and determining a target noise reduction area noise signal corresponding to the monitoring position noise signal based on the monitoring position noise signal and the first path compensation function.
Specifically, the monitoring position noise signal is a noise signal transmitted to the monitoring position by the noise signal, and the target noise reduction region noise signal is a noise signal transmitted to the target noise reduction region by the noise signal. The noise signal is transmitted in the space between the monitoring position and the target noise reduction area. Because the first path compensation function is used for equivalently simulating a transmission path between the monitoring position and the target noise reduction area, the noise signal of the monitoring position is deduced by using the first path compensation function, and the noise signal of the target noise reduction area can be determined.
Illustratively, the first path compensation function is determined based on the path compensation function determination method of any of the above embodiments, and the target noise reduction region is located by locating a target sound source moving synchronously with the target noise reduction region in real time, so that the first path compensation function is determined in real time, and the noise signal of the target noise reduction region can be determined by deriving the monitoring position noise signal by using the first path compensation function.
Step 703: and determining a target noise reduction area error signal corresponding to the target noise reduction area noise signal based on the target noise reduction area noise signal and the second path compensation function.
Specifically, the target noise reduction region error signal is a residual noise signal after noise reduction of the target noise reduction region, and essentially, the target noise reduction region noise signal and the target noise reduction region noise reduction signal are superimposed to form the target noise reduction region error signal. In step 702, the noise signal of the target noise reduction area is already obtained, and since the second path compensation function is used for the transfer path between the input end of the equivalent analog speaker and the target noise reduction area, that is, the second path compensation function is used for the secondary path between the equivalent analog speaker and the target noise reduction area, the noise reduction signal of the target noise reduction area can be obtained according to the initial noise reduction signal and the second path compensation function. And then, the noise signal of the target noise reduction area and the noise reduction signal of the target noise reduction area are superposed, so that an error signal of the target noise reduction area can be obtained.
Exemplarily, the second path compensation function is determined based on the path compensation function determination method of any of the above embodiments, and the second path compensation function, i.e., the secondary path transfer function of the feedback active noise reduction system, is determined in real time by positioning the target sound source moving synchronously with the target noise reduction region in real time to realize the positioning of the target noise reduction region.
Step 704: and determining noise reduction parameters based on the target noise reduction region noise signal and the target noise reduction region error signal.
Specifically, a target noise reduction region noise signal and a target noise reduction region error signal are input into an adaptive module, the adaptive module adjusts an initial noise reduction parameter of a feedback noise reduction filter based on the target noise reduction region noise signal and the target noise reduction region error signal, noise reduction is performed on a target noise reduction region based on the adjusted noise reduction parameter until the adjusted target noise reduction region error signal meets a minimization condition, and an optimal active noise reduction parameter is determined.
Step 705: and generating a noise reduction signal based on the noise signal of the target noise reduction region and the noise reduction parameter so as to reduce the noise of the target noise reduction region.
Specifically, a noise reduction signal is generated based on the noise reduction parameters for the target noise reduction region to reduce noise in the target noise reduction region, thereby minimizing noise in the target noise reduction region.
The method for determining the path compensation function provided by the embodiment of the application determines a noise signal of a monitoring position at the position of a monitoring microphone based on an acoustic signal acquired by the monitoring microphone, determines a noise signal of a target noise reduction area based on the noise signal of the monitoring position and a first path compensation function, determines a noise reduction parameter based on the noise signal of the target noise reduction area and an error signal of the target noise reduction area based on the noise signal of the target noise reduction area and a second path compensation function, and generates a noise reduction signal based on the noise signal of the target noise reduction area and the noise reduction parameter to reduce the noise of the target noise reduction area and realize the noise minimization of the target noise reduction area in real time.
Exemplary Path Compensation function determination apparatus
Fig. 8 is a schematic structural diagram of a path compensation function determining apparatus according to an embodiment of the present application. The path compensation function determining device is applied to an active noise reduction scene comprising a target sound source and a target noise reduction area which synchronously move relative to a feedback active noise reduction system, wherein the target sound source and the noise source are independent.
As shown in fig. 8, the path compensation function determining apparatus 100 includes: a first determination module 101, a second determination module 102, a third determination module 103 and a fourth determination module 104.
The first determination module 101 is configured to determine target sound source position information corresponding to a target sound source based on a set of acoustic signals collected by a monitoring microphone array. The second determining module 102 is configured to determine, based on the target sound source position information, target noise reduction region position information corresponding to the target sound source position information. The third determining module 103 is configured to determine the first path compensation function based on the position information of the monitoring microphone corresponding to each monitoring microphone in the monitoring microphone array and the position information of the target noise reduction area. The fourth determining module 104 is configured to determine the second path compensation function based on the speaker position information corresponding to the speaker and the target noise reduction region position information.
Fig. 9 is a schematic structural diagram of a path compensation function determining apparatus according to an embodiment of the present application. As shown in fig. 9, the first determining module 101 further includes: a first determination unit 1011, a second determination unit 1012, and a third determination unit 1013.
The first determining unit 1011 is configured to determine cross-correlation information of two monitoring microphone channels based on a first acoustic signal and a second acoustic signal respectively collected by the two monitoring microphones. The second determination unit 1012 is configured to determine time difference information of arrival of the acoustic signal emitted by the target sound source at the two monitoring microphones based on the cross-correlation information, thereby determining azimuth information of the target sound source with respect to the two monitoring microphones. The third determination unit 1013 is configured to determine the target sound source position information based on the azimuth information corresponding to each two monitoring microphones in the monitoring microphone array.
In one embodiment, the cross-correlation information comprises cross-correlation function information, wherein the first determining unit 1011 is further configured to determine the cross-correlation function information of two monitoring microphone channels based on the first acoustic signal and the second acoustic signal respectively collected by the two monitoring microphones; the second determining unit 1011 is further configured to determine peak information of the cross-correlation function based on the cross-correlation function information; time difference information is determined based on the peak information, thereby determining azimuth information of the target sound source with respect to the two monitoring microphones.
In one embodiment, the first determining unit 1011 is further configured to determine the cross-spectral function information corresponding to the first acoustic signal and the second acoustic signal; determining weighted spectral function information corresponding to the first acoustic signal and the second acoustic signal based on the cross-spectral function information; cross-correlation function information is determined based on the cross-spectrum function information and the weighted spectrum function information.
In one embodiment, the second determining module 102 is further configured to determine the target noise reduction region position information based on the target sound source position information and preset distance information between the target sound source and the target noise reduction region.
In one embodiment, the third determining module 103 is further configured to determine the first path compensation function by using the coordinate corresponding to the position information of the monitoring microphone as a transfer starting point and the coordinate corresponding to the position information of the target noise reduction region as a transfer end point.
In one embodiment, the fourth determining module 104 is further configured to determine the second path compensation function by using the coordinates corresponding to the speaker position information as a transfer starting point and the coordinates corresponding to the target noise reduction region position information as a transfer end point.
The implementation process of the function and action of each module in the path compensation function device is specifically detailed in the implementation process of the corresponding step in the path compensation function method, and is not described herein again.
Exemplary active noise reduction device
Fig. 10 is a schematic structural diagram of an active noise reduction device according to an embodiment of the present application. As shown in fig. 10, the active noise reduction device 200 includes: a fifth determination module 201, a sixth determination module 202, a seventh determination module 203, an eighth determination module 204, and a noise reduction module 205.
The fifth determining module 201 is configured to determine a monitoring position noise signal corresponding to the monitoring position error signal based on the monitoring position error signal collected by the monitoring microphone; the sixth determining module 202 is configured to determine a target noise reduction area noise signal corresponding to the monitoring position noise signal according to the monitoring position noise signal and the first path compensation function; the seventh determining module 203 is configured to determine a target noise reduction area error signal corresponding to the target noise reduction area noise signal based on the target noise reduction area noise signal and a second path compensation function, where the first path compensation function and/or the second path compensation function are determined based on the path compensation function determining method of any of the embodiments; the eighth determining module 204 is configured to determine a noise reduction parameter based on the target noise reduction region noise signal and the target noise reduction region error signal; the noise reduction module 205 is configured to generate a noise reduction signal based on the noise reduction parameters to reduce the noise of the target noise reduction region.
The implementation process of the function and the effect of each module in the active noise reduction device is specifically described in the implementation process of the corresponding step in the active noise reduction method, and is not described herein again.
Exemplary electronic device
Fig. 11 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 11, the electronic device 300 includes one or more processors 310 and memory 320.
The processor 310 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device 300 to perform desired functions.
Memory 320 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, Random Access Memory (RAM), cache memory (cache), and/or the like. The non-volatile memory may include, for example, Read Only Memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium and executed by processor 310 to implement the path compensation function determination method or the active noise reduction method of the various embodiments of the present application described above and/or other desired functions.
In one example, the electronic device 300 may further include: an input device 330 and an output device 340, which are interconnected by a bus system and/or other form of connection mechanism (not shown).
Of course, for the sake of simplicity, only some of the components related to the present application in the electronic device 300 are shown in fig. 11, and components such as a bus, an input/output interface, and the like are omitted. In addition, electronic device 300 may include any other suitable components depending on the particular application.
Exemplary computer program product and computer-readable storage Medium
In addition to the above-described methods and apparatus, embodiments of the present application may also be a computer program product comprising computer program instructions that, when executed by a processor, cause the processor to perform the steps in the path compensation function determination methods provided according to the various embodiments of the present application described in the above-mentioned "exemplary path compensation function determination methods" section of this specification, or the steps in the active noise reduction methods provided according to the various embodiments of the present application described in the above-mentioned "exemplary active noise reduction methods" section.
The computer program product may write program code for carrying out operations for embodiments of the present application in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present application may also be a computer-readable storage medium having stored thereon computer program instructions that, when executed by a processor, cause the processor to perform the steps in the path compensation function determination method provided according to the various embodiments of the present application described in the "exemplary path compensation function determination method" section above or the steps in the active noise reduction method provided according to the various embodiments of the present application described in the "exemplary active noise reduction method" section above.
The computer-readable storage medium may take any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may include, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
It should be noted that the above listed embodiments are only specific examples of the present application, and obviously, the present application is not limited to the above embodiments, and many similar variations exist. All modifications which would occur to one skilled in the art and which are, therefore, directly derivable or suggested by the disclosure herein are to be included within the scope of the present application.
It should be understood that the terms first, second, etc. used in the embodiments of the present application are only used for clearly describing the technical solutions of the embodiments of the present application, and are not used to limit the protection scope of the present application.
The above description is only for the preferred embodiment of the present application, and is not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims (10)

1. A method for determining a path compensation function, applied to an active noise reduction scene comprising a target sound source and a target noise reduction region moving synchronously with respect to a feedback active noise reduction system, wherein the target sound source and the target noise source are independent of each other, the method comprising:
determining target sound source position information corresponding to the target sound source based on a sound signal set acquired by a monitoring microphone array;
determining target noise reduction area position information corresponding to the target sound source position information based on the target sound source position information;
determining a first path compensation function based on monitoring microphone position information corresponding to each monitoring microphone in the monitoring microphone array and the target noise reduction area position information;
and determining a second path compensation function based on the speaker position information corresponding to each speaker in the feedback active noise reduction system and the position information of the target noise reduction area.
2. The method for determining the path compensation function according to claim 1, wherein the determining the position information of the target sound source corresponding to the target sound source based on the set of sound signals collected by the monitoring microphone array comprises:
for each two monitoring microphones in the monitoring microphone array, determining cross-correlation information of the two monitoring microphone channels based on a first acoustic signal and a second acoustic signal respectively acquired by the two monitoring microphones;
determining time difference information of arrival of the acoustic signal emitted by the target sound source at the two monitoring microphones based on the cross-correlation information, thereby determining azimuth information of the target sound source relative to the two monitoring microphones;
and determining the position information of the target sound source based on the azimuth angle information corresponding to each two monitoring microphones in the monitoring microphone array.
3. The path compensation function determination method according to claim 2, wherein the cross-correlation information includes cross-correlation function information, and wherein the determining time difference information of arrival of the acoustic signal emitted by the target sound source at the two monitoring microphones based on the cross-correlation information includes:
determining peak information of a cross-correlation function based on the cross-correlation function information;
determining the time difference information based on the peak information.
4. The method according to claim 3, wherein the determining the cross-correlation information of the two monitoring microphones based on the first acoustic signal and the second acoustic signal respectively collected by the two monitoring microphones comprises:
determining the cross-spectrum function information corresponding to the first acoustic signal and the second acoustic signal;
determining weighted spectral function information corresponding to the first acoustic signal and the second acoustic signal based on the cross-spectral function information;
determining the cross-correlation function information based on the cross-spectrum function information and the weighted spectrum function information.
5. The method according to any one of claims 1 to 4, wherein the determining, based on the target sound source position information, target noise reduction region position information corresponding to the target sound source position information includes:
and determining the position information of the target noise reduction area based on the position information of the target sound source and preset distance information between the target sound source and the target noise reduction area.
6. The method according to any one of claims 1 to 4, wherein determining the first path compensation function based on the position information of the monitoring microphone and the position information of the target noise reduction region corresponding to each corresponding monitoring microphone in the monitoring microphone array comprises:
determining the first path compensation function by taking the coordinate corresponding to the position information of the monitoring microphone as a transfer starting point and the coordinate corresponding to the position information of the target noise reduction area as a transfer end point;
and/or the presence of a gas in the gas,
determining a second path compensation function based on the speaker position information corresponding to each speaker in the feedback active noise reduction system and the target noise reduction area position information, including:
and determining the second path compensation function by taking the coordinate corresponding to the loudspeaker position information as a transfer starting point and the coordinate corresponding to the target noise reduction area position information as a transfer end point.
7. An active noise reduction method, comprising:
determining a monitoring position noise signal corresponding to a monitoring position error signal based on the monitoring position error signal acquired by a monitoring microphone;
determining a target noise reduction area noise signal corresponding to the monitoring position noise signal based on the monitoring position noise signal and a first path compensation function;
determining a target noise reduction area error signal corresponding to the target noise reduction area noise signal based on the target noise reduction area noise signal and a second path compensation function, wherein the first path compensation function and/or the second path compensation function is determined based on the path compensation function determination method of any one of claims 1 to 6;
determining a noise reduction parameter based on the target noise reduction region noise signal and the target noise reduction region error signal;
and generating a noise reduction signal based on the target noise reduction region noise signal and the noise reduction parameter so as to reduce the noise of the target noise reduction region.
8. A path compensation function determination apparatus for use in an active noise reduction scenario including a target sound source and a target noise reduction region moving synchronously with respect to a feedback active noise reduction system, the target sound source and noise source being independent of each other, the apparatus comprising:
the first determining module is configured to determine target sound source position information corresponding to the target sound source based on a sound signal set collected by a monitoring microphone array;
a second determining module configured to determine, based on the target sound source position information, target noise reduction region position information corresponding to the target sound source position information;
a third determining module configured to determine a first path compensation function based on the position information of the monitoring microphone corresponding to each monitoring microphone in the monitoring microphone array and the position information of the target noise reduction area;
and the fourth determining module is configured to determine a second path compensation function based on the speaker position information corresponding to the speaker and the target noise reduction area position information.
9. An active noise reduction device, comprising:
the fifth determination module is configured to determine a monitoring position noise signal corresponding to the monitoring position error signal based on the monitoring position error signal acquired by the monitoring microphone;
a sixth determining module, configured to determine a target noise reduction region noise signal corresponding to the monitoring position noise signal according to the monitoring position noise signal and the first path compensation function;
a seventh determining module, configured to determine a target noise reduction area error signal corresponding to the target noise reduction area noise signal based on the target noise reduction area noise signal and a second path compensation function, wherein the first path compensation function and/or the second path compensation function is determined based on the path compensation function determining method of any one of claims 1 to 6;
an eighth determining module configured to determine a noise reduction parameter based on the target noise reduction region noise signal and the target noise reduction region error signal;
and the noise reduction module is configured to generate a noise reduction signal based on the noise reduction parameters so as to reduce the noise of the target noise reduction region.
10. An electronic device, comprising:
a processor; and
a memory having stored therein computer program instructions which, when executed by the processor, cause the processor to perform the method of any of claims 1 to 7.
CN202111022939.4A 2021-09-01 2021-09-01 Path compensation function determination method and device, and active noise reduction method and device Pending CN114255730A (en)

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