Independent sound area playing method and system for reducing mutual interference of different areas

Abstract

The invention relates to an independent sound area playing method and system for reducing mutual interference of different areas, and belongs to the technical field of vehicle-mounted noise reduction. The method comprises the following steps: acquiring mixed sound signal data through a microphone array arranged in a vehicle-mounted independent sound area, and preprocessing the mixed sound signal data to obtain preprocessed signal data; separating the preprocessed signal to obtain separated signal data, performing feature extraction on the separated signal data to obtain feature data, and anchoring the separated signal according to the feature data to obtain homologous signal data; positioning the homologous signal data, calculating distance data between the sound source position data and a reference array element of the microphone array, and determining near-source signal data according to the distance data; and removing the mixed sound signal data according to the near-source sound signal to obtain a noise signal, and performing noise reduction on the noise signal. Mutual interference independent sound area playing of different areas in the vehicle is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of vehicle-mounted noise reduction, and in particular relates to an independent sound zone playback method and system for reducing mutual interference between different zones. Background Art

[0002] With the development of digital technology, audio devices are becoming more and more popular in our daily lives, especially in cars, home theaters, etc. However, existing audio systems often have some significant problems, especially when multiple users share the same audio source, audio signals between different areas are prone to interfere with each other, affecting user experience.

[0003] Traditional car audio systems usually use a single speaker layout, which cannot achieve audio isolation between different passengers in the car. As a result, when drivers and passengers are enjoying music or talking on the phone, they are easily disturbed by audio content in other areas, which reduces the listening experience and comfort. Summary of the invention

[0004] In order to solve the above problems existing in the prior art, the present invention provides an independent audio zone playback method and system for reducing mutual interference between different zones.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] S1: acquiring mixed sound signal data through a microphone array arranged in an independent sound zone of the vehicle, and obtaining preprocessed signal data through preprocessing the mixed sound signal data;

[0007] S2: obtaining separated signal data by calculating the separation model according to the preprocessed signal data, obtaining feature data by calculating the feature extraction model according to the separated signal data, and anchoring the separated signal data according to the feature data to obtain homologous signal data;

[0008] S3: Calculate the TDOA value according to the homologous signal data by using a time delay estimation algorithm, calculate the sound source position data according to the TDOA value by using a genetic and particle swarm joint algorithm, calculate the distance data between the sound source position data and the reference array element of the microphone array, sort the separated signal data according to the distance data to obtain sorted data, and perform maximum value selection according to the sorted data to obtain near-source signal data;

[0009] S4: removing the mixed sound signal data according to the near-source signal data to obtain a noise signal, and performing noise reduction using an active noise reduction model according to the noise signal.

[0010] As a preferred technical solution of the present invention, the specific calculation steps of the separation model are:

[0011] S201: Preset an initial separation matrix, and iterate the initial separation matrix through an independent component analysis algorithm to obtain an independent iterative separation matrix;

[0012] S202: obtaining a mixing matrix by inverting the independent iterative separation matrix, comparing two elements corresponding to the same signal in the mixing matrix to obtain a comparison value, and obtaining an estimated value of the direction of arrival by calculating the direction of arrival formula according to the comparison value;

[0013] S203: calculating the correlation coefficient of the adjacent frequency band segment separated sub-signals of the pre-processed signal according to the estimated value of the direction of arrival of the wave, and correcting the estimated value of the direction of arrival of the wave according to the correlation coefficient to obtain corrected data;

[0014] S204: performing beamforming on the corrected data to obtain beam data, and calculating a beam separation matrix according to the beam data;

[0015] S205: Calculating a target separation matrix according to the independent iterative separation matrix and the beam separation matrix using a separation matrix selection rule;

[0016] S206: Obtain the separated signal data by calculating a separation formula according to the target separation matrix and the preprocessed signal.

[0017] Specifically, the specific calculation steps of the feature extraction model are:

[0018] S301: performing pre-emphasis, framing, and windowing processing on the separated signal data to obtain framed signal data;

[0019] S302: Performing a fast Fourier transform on the frame signal data to obtain transformed signal data, and calculating an energy spectrum according to the transformed signal data;

[0020] S303: Calculate a mel spectrum using a mel filter bank according to the energy spectrum, take the logarithm of the mel spectrum and perform inverse transformation using DCT to obtain mel cepstrum coefficients.

[0021] Specifically, the active noise reduction model obtains a noise estimation value according to the noise signal by filtering the noise signal using a least mean square algorithm, adjusts parameters of an adaptive filter according to the noise estimation value to obtain an adjustment filter, the adjustment filter generates an adaptive signal according to the noise estimation value to control a speaker group to generate a cancellation signal, measures an error signal through an error microphone, and dynamically adjusts parameters of the adjustment filter according to the error signal.

[0022] Specifically, the correlation coefficient calculation formula is:

[0023]

[0024] Wherein, corr(k, g) is the correlation coefficient between the kth frequency band segment separated sub-signal and the gth frequency band segment separated sub-signal, Y k (f, t) is the kth frequency band separated sub-signal, Y g (f, t) is the separated sub-signal of the g-th frequency band, f is the frequency point, and t is the time window.

[0025] Specifically, the separation formula is calculated as follows:

[0026]

[0027] Among them, Y(f, t) is the separated signal data, A1(f, b2) is the directional gain of the first output signal at the estimated azimuth b2 of the second signal, A2(f, b1) is the directional gain of the second output signal at the estimated azimuth b1 of the first signal, W(f) is the target separation matrix, and X(f, t) is the preprocessed signal.

[0028] Specifically, the calculation formula for the incoming wave direction is:

[0029]

[0030] Among them, A is the estimated value of the incoming wave direction, B is the comparison value, and f(d i -d i' ) represents the sampling point frequency between the i-th element distance and the i'th element distance, and c is the weighted cost function.

[0031] An independent sound zone playback system for reducing mutual interference between different areas using an independent sound zone playback method for reducing mutual interference between different areas, comprising: a sound acquisition module, a preprocessing module, a positioning module, and a noise reduction module;

[0032] The sound acquisition module is used to acquire mixed sound signal data through a microphone array arranged in an independent sound zone of the vehicle, and obtain preprocessed signal data by preprocessing the mixed sound signal data;

[0033] The preprocessing module is used to calculate the separated signal data through the separation model according to the preprocessed signal data, calculate the feature data through the feature extraction model according to the separated signal data, and anchor the separated signal data according to the feature data to obtain the homologous signal data;

[0034] The positioning module is used to calculate the TDOA value according to the homologous signal data through a time delay estimation algorithm, calculate the sound source position data according to the TDOA value through a genetic and particle swarm joint algorithm, calculate the distance data between the sound source position data and the reference array element of the microphone array, sort the separated signal data according to the distance data to obtain sorted data, and perform maximum value selection according to the sorted data to obtain near-source signal data;

[0035] The noise reduction module is used to remove the mixed sound signal data according to the near-source signal data to obtain a noise signal, and perform noise reduction through an active noise reduction model according to the noise signal.

[0036] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the independent sound zone playback method for reducing mutual interference between different areas as described above is implemented.

[0037] A storage medium containing computer executable instructions, characterized in that the computer executable instructions are used to execute the independent sound zone playback method for reducing mutual interference between different areas as described above when executed by a computer processor.

[0038] The beneficial effects of the present invention are:

[0039] (1) By setting up independent microphone arrays in different sound zones, each sound zone independently collects sound data, and performs sound separation, sound source localization, and active noise reduction to achieve noise reduction in the target sound zone and reduce the interference of other sound zones on the target sound zone.

[0040] (2) By setting up a microphone array for sound collection, the accuracy of sound source positioning is improved.

[0041] (3) The car compartment is divided into different sound zones, and each sound zone is operated and controlled independently to reduce interference from audio content in other areas.

[0042] (4) By adopting a feedforward active noise reduction model, when generating directional sound waves to achieve noise reduction, the error sound signal is collected through the error microphone, and the parameters of the adaptive filter are adjusted according to the error sound signal to achieve dynamic sound noise reduction. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0044] Figure 1 The present invention is a flowchart of an independent audio zone playback method for reducing mutual interference between different zones. DETAILED DESCRIPTION

[0045] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0046] See also Figure 1 , a method and system for playing independent sound zones with reduced interference between different zones,

[0047] S1: Acquire mixed sound signal data through a microphone array arranged in an independent sound zone of the vehicle, and obtain preprocessed signal data through preprocessing of the mixed sound signal data; the preprocessing includes filtering, denoising, de-averaging, and whitening processing.

[0048] S2: Calculate separated signal data through a separation model according to the preprocessed signal data, calculate feature data through a feature extraction model according to the separated signal data, and anchor the separated signal data according to the feature data to obtain homologous signal data; the feature data is Mel-frequency cepstral coefficients.

[0049] S3: Calculate the TDOA value according to the homologous signal data by using a time delay estimation algorithm, calculate the sound source position data according to the TDOA value by using a genetic and particle swarm joint algorithm, calculate the distance data between the sound source position data and the reference array element of the microphone array, sort the separated signal data according to the distance data to obtain sorted data, and perform maximum value selection according to the sorted data to obtain near-source signal data;

[0050] S4: removing the mixed sound signal data according to the near-source signal data to obtain a noise signal, and performing noise reduction using an active noise reduction model according to the noise signal.

[0051] In this embodiment, by setting up independent microphone arrays in different sound zones, each sound zone independently collects sound data, and performs sound separation, sound source localization, and active noise reduction to achieve noise reduction in the target sound zone and reduce the interference of other sound zones on the target sound zone. By setting up a microphone array for sound collection, the accuracy of sound source localization is improved in sound source localization. The car cabin is divided into different sound zones, and each sound zone is independently operated and controlled to reduce the interference of audio content in other areas.

[0052] As a preferred technical solution of the present invention, the specific calculation steps of the separation model are:

[0053] S201: Preset an initial separation matrix, and iterate the initial separation matrix through an independent component analysis algorithm to obtain an independent iterative separation matrix;

[0054] S202: obtaining a mixing matrix by inverting the independent iterative separation matrix, comparing two elements corresponding to the same signal in the mixing matrix to obtain a comparison value, and obtaining an estimated value of the direction of arrival by calculating the direction of arrival formula according to the comparison value;

[0055] S203: calculating the correlation coefficient of the adjacent frequency band segment separated sub-signals of the pre-processed signal according to the estimated value of the direction of arrival of the wave, and correcting the estimated value of the direction of arrival of the wave according to the correlation coefficient to obtain corrected data;

[0056] S204: performing beamforming on the corrected data to obtain beam data, and calculating a beam separation matrix according to the beam data;

[0057] S205: Calculating a target separation matrix according to the independent iterative separation matrix and the beam separation matrix using a separation matrix selection rule;

[0058] S206: Obtain the separated signal data by calculating a separation formula according to the target separation matrix and the preprocessed signal.

[0059] Specifically, the specific calculation steps of the feature extraction model are:

[0060] S301: performing pre-emphasis, framing, and windowing processing on the separated signal data to obtain framed signal data;

[0061] S302: Performing a fast Fourier transform on the frame signal data to obtain transformed signal data, and calculating an energy spectrum according to the transformed signal data;

[0062] S303: Calculate a mel spectrum using a mel filter bank according to the energy spectrum, take the logarithm of the mel spectrum and perform inverse transformation using DCT to obtain mel cepstrum coefficients.

[0063] The active noise reduction model calculates a noise estimation value based on the noise signal by filtering the noise signal using the x least mean square algorithm, adjusts the parameters of the adaptive filter based on the noise estimation value to obtain an adjustment filter, the adjustment filter generates an adaptive signal based on the noise estimation value to control the speaker group to generate a cancellation signal, measures the error signal through the error microphone, and dynamically adjusts the parameters of the adjustment filter based on the error signal.

[0064] Specifically, the correlation coefficient calculation formula is:

[0065]

[0066] Wherein, corr(k, g) is the correlation coefficient between the kth frequency band segment separated sub-signal and the gth frequency band segment separated sub-signal, Y k(f, t) is the k-th frequency band separated sub-signal,

[0067] Y g (f, t) is the separated sub-signal of the g-th frequency band, f is the frequency point, and t is the time window.

[0068] Specifically, the separation formula is calculated as follows:

[0069]

[0070] Among them, Y(f, t) is the separated signal data, A1(f, b2) is the directional gain of the first output signal at the estimated azimuth b2 of the second signal, A2(f, b1) is the directional gain of the second output signal at the estimated azimuth b1 of the first signal, W(f) is the target separation matrix, and X(f, t) is the preprocessed signal.

[0071] Specifically, the calculation formula for the incoming wave direction is:

[0072]

[0073] Among them, A is the estimated value of the incoming wave direction, B is the comparison value, and f(d i -d i' ) represents the sampling point frequency between the i-th element distance and the i'th element distance, and c is the weighted cost function.

[0074] In this embodiment, by adopting a feedforward active noise reduction model, when generating directional sound waves to achieve noise reduction, an error sound signal is collected through an error microphone, and the parameters of the adaptive filter are adjusted according to the error sound signal to achieve dynamic sound noise reduction.

[0075] An independent sound zone playback system for reducing mutual interference between different areas using an independent sound zone playback method for reducing mutual interference between different areas, comprising: a sound acquisition module, a preprocessing module, a positioning module, and a noise reduction module;

[0076] The sound acquisition module is used to acquire mixed sound signal data through a microphone array arranged in an independent sound zone of the vehicle, and obtain preprocessed signal data by preprocessing the mixed sound signal data;

[0077] The preprocessing module is used to calculate the separated signal data through the separation model according to the preprocessed signal data, calculate the feature data through the feature extraction model according to the separated signal data, and anchor the separated signal data according to the feature data to obtain the homologous signal data;

[0078] The positioning module is used to calculate the TDOA value according to the homologous signal data through a time delay estimation algorithm, calculate the sound source position data according to the TDOA value through a genetic and particle swarm joint algorithm, calculate the distance data between the sound source position data and the reference array element of the microphone array, sort the separated signal data according to the distance data to obtain sorted data, and perform maximum value selection according to the sorted data to obtain near-source signal data;

[0079] The noise reduction module is used to remove the mixed sound signal data according to the near-source signal data to obtain a noise signal, and perform noise reduction through an active noise reduction model according to the noise signal.

[0080] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the independent sound zone playback method for reducing mutual interference between different areas as described above is implemented.

[0081] A storage medium containing computer executable instructions, characterized in that the computer executable instructions are used to execute the independent sound zone playback method for reducing mutual interference between different areas as described above when executed by a computer processor.

[0082] The computer storage medium of the embodiment of the present invention may adopt any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device.

[0083] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0084] The program code included on the computer readable medium can be transmitted with any appropriate medium, including but not limited to wireless, electric wire, optical cable, RF, etc., or any suitable combination of the above. The computer program code for performing the operation of the present invention can be written in one or more programming languages ​​or their combinations, and the programming language includes object-oriented programming languages-such as Java, Smalltalk, C++, and also includes conventional procedural programming languages-such as "C" language or similar programming languages. The program code can be executed completely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on the remote computer, or completely on the remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0085] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A method for playing independent sound zones to reduce mutual interference between different zones, characterized in that: include: S1: acquiring mixed sound signal data through a microphone array arranged in an independent sound zone of the vehicle, and obtaining preprocessed signal data through preprocessing the mixed sound signal data; S2: obtaining separated signal data by calculating the separation model according to the preprocessed signal data, obtaining feature data by calculating the feature extraction model according to the separated signal data, and anchoring the separated signal data according to the feature data to obtain homologous signal data; S3: Calculate the TDOA value according to the homologous signal data by using a time delay estimation algorithm, calculate the sound source position data according to the TDOA value by using a genetic and particle swarm joint algorithm, calculate the distance data between the sound source position data and the reference array element of the microphone array, sort the separated signal data according to the distance data to obtain sorted data, and perform maximum value selection according to the sorted data to obtain near-source signal data; S4: removing the mixed sound signal data according to the near-source signal data to obtain a noise signal, and performing noise reduction using an active noise reduction model according to the noise signal.

2. The independent sound zone playback method for reducing mutual interference between different zones according to claim 1, characterized in that: The specific calculation steps of the separation model are: S201: Preset an initial separation matrix, and iterate the initial separation matrix through an independent component analysis algorithm to obtain an independent iterative separation matrix; S202: obtaining a mixing matrix by inverting the independent iterative separation matrix, comparing two elements corresponding to the same signal in the mixing matrix to obtain a comparison value, and obtaining an estimated value of the direction of arrival by calculating the direction of arrival formula according to the comparison value; S203: calculating the correlation coefficient of the adjacent frequency band segment separated sub-signals of the pre-processed signal according to the estimated value of the direction of arrival of the wave, and correcting the estimated value of the direction of arrival of the wave according to the correlation coefficient to obtain corrected data; S204: performing beamforming on the corrected data to obtain beam data, and calculating a beam separation matrix according to the beam data; S205: Calculating a target separation matrix according to the independent iterative separation matrix and the beam separation matrix using a separation matrix selection rule; S206: Obtain the separated signal data by calculating a separation formula according to the target separation matrix and the preprocessed signal.

3. The independent sound zone playback method for reducing mutual interference between different zones according to claim 1, characterized in that: The specific calculation steps of the feature extraction model are: S301: performing pre-emphasis, framing, and windowing processing on the separated signal data to obtain framed signal data; S302: Performing a fast Fourier transform on the frame signal data to obtain transformed signal data, and calculating an energy spectrum according to the transformed signal data; S303: Calculate a mel spectrum using a mel filter bank according to the energy spectrum, take the logarithm of the mel spectrum and perform inverse transformation using DCT to obtain mel cepstrum coefficients.

4. The independent sound zone playback method for reducing mutual interference between different zones according to claim 1, characterized in that: The active noise reduction model calculates a noise estimation value based on the noise signal by filtering the noise signal using the x least mean square algorithm, adjusts the parameters of the adaptive filter based on the noise estimation value to obtain an adjustment filter, the adjustment filter generates an adaptive signal based on the noise estimation value to control the speaker group to generate a cancellation signal, measures the error signal through the error microphone, and dynamically adjusts the parameters of the adjustment filter based on the error signal.

5. The independent sound zone playback method for reducing mutual interference between different zones according to claim 3, characterized in that: The correlation coefficient calculation formula is: Wherein, corr(k, g) is the correlation coefficient between the kth frequency band segment separated sub-signal and the gth frequency band segment separated sub-signal, Y k (f, t) is the kth frequency band separated sub-signal, Y g (f, t) is the separated sub-signal of the g-th frequency band, f is the frequency point, and t is the time window.

6. The independent sound zone playback method for reducing mutual interference between different zones according to claim 3, characterized in that: The separation formula is calculated as follows: Among them, Y(f, t) is the separated signal data, A1(f, b2) is the directional gain of the first output signal at the estimated azimuth b2 of the second signal, A2(f, b1) is the directional gain of the second output signal at the estimated azimuth b1 of the first signal, W(f) is the target separation matrix, and X(f, t) is the preprocessed signal.

7. The independent sound zone playback method for reducing mutual interference between different zones according to claim 3, characterized in that: The calculation formula for the incoming wave direction is: Among them, A is the estimated value of the incoming wave direction, B is the comparison value, and f(d i -d i' ) represents the sampling point frequency between the i-th element distance and the i'th element distance, and c is the weighted cost function.

8. An independent sound zone playback system for reducing mutual interference between different areas using the independent sound zone playback method for reducing mutual interference between different areas as claimed in claim 1, characterized in that: include: Sound acquisition module, preprocessing module, positioning module, and noise reduction module; The sound acquisition module is used to acquire mixed sound signal data through a microphone array arranged in an independent sound zone of the vehicle, and obtain preprocessed signal data by preprocessing the mixed sound signal data; The preprocessing module is used to calculate the separated signal data through the separation model according to the preprocessed signal data, calculate the feature data through the feature extraction model according to the separated signal data, and anchor the separated signal data according to the feature data to obtain the homologous signal data; The positioning module is used to calculate the TDOA value according to the homologous signal data through a time delay estimation algorithm, calculate the sound source position data according to the TDOA value through a genetic and particle swarm joint algorithm, calculate the distance data between the sound source position data and the reference array element of the microphone array, sort the separated signal data according to the distance data to obtain sorted data, and perform maximum value selection according to the sorted data to obtain near-source signal data; The noise reduction module is used to remove the mixed sound signal data according to the near-source signal data to obtain a noise signal, and perform noise reduction through an active noise reduction model according to the noise signal.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the independent sound zone playback method for reducing mutual interference between different areas as described in any one of claims 1-7 is implemented.

10. A storage medium containing computer executable instructions, characterized in that: The computer executable instructions are used to execute the independent sound zone playback method for reducing mutual interference between different areas as described in any one of claims 1-7 when executed by a computer processor.

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