CN115174816A - Environmental noise sound source directional snapshot method and device based on microphone array - Google Patents
Environmental noise sound source directional snapshot method and device based on microphone array Download PDFInfo
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- CN115174816A CN115174816A CN202210975240.8A CN202210975240A CN115174816A CN 115174816 A CN115174816 A CN 115174816A CN 202210975240 A CN202210975240 A CN 202210975240A CN 115174816 A CN115174816 A CN 115174816A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
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- G01S3/80—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received using ultrasonic, sonic or infrasonic waves
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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Abstract
The invention discloses a microphone array-based directional snapshot method and device for an environmental noise sound source, which are used for obtaining a spatial coordinate of target noise by performing spatial positioning analysis on the environmental noise, screening the environmental noise according to the spatial coordinate of the target noise to obtain a target noise segment, accurately obtaining the target noise and improving the accuracy of monitoring the environmental noise, and meanwhile, obtaining a video image segment generating the target noise by a spatial coordinate and sound picture coordinate synchronization technology according to the target noise, accurately obtaining a video image generating the target noise, and further overcoming the defect that the prior art cannot obtain the video image generating the environmental noise.
Description
Technical Field
The invention relates to the technical field of directional snapshot of an environmental noise sound source, in particular to a directional snapshot method and a directional snapshot device of the environmental noise sound source based on a microphone array.
Background
Inevitable meeting in the life can meet all kinds of ambient noise, it can hinder people's normal rest, study and work, in order to reduce ambient noise to people's rest, the influence of study and work, generally need monitor ambient noise, through gathering ambient noise, fix a position ambient noise, thereby realize ambient noise's monitoring, however, prior art is because the noise is more to ambient noise's monitoring, lead to monitoring accuracy ratio lower, and simultaneously, prior art is when fixing a position, can only acquire ambient noise, can't acquire the video image who produces ambient noise.
Disclosure of Invention
In view of this, the invention provides an ambient noise sound source directional snapshot method and an ambient noise sound source directional snapshot device based on a microphone array, which can solve the defects that the monitoring of ambient noise in the prior art is low in accuracy and cannot acquire a video image generating the ambient noise.
The technical scheme of the invention is realized as follows:
a microphone array-based ambient noise sound source directional snapshot method specifically comprises the following steps:
step S1, collecting sound signals according to a microphone array;
s2, judging the noise intensity of the collected sound signal, judging whether environmental noise exists, if so, executing the step S3, otherwise, returning to the step S1;
s3, carrying out spatial positioning analysis on the environmental noise to obtain a spatial coordinate of the target noise;
s4, screening the environmental noise to obtain a target noise fragment;
s5, obtaining a video image segment generating the target noise according to the spatial coordinate and the sound-picture coordinate synchronization technology of the target noise;
and S6, storing the target noise segment and the video image segment generating the target noise, thereby realizing the directional snapshot of the environmental noise sound source.
As a further alternative of the microphone array based ambient noise sound source directional snapshot method, the step S2 specifically includes the following steps:
s21, acquiring a preset sound intensity threshold;
and S22, judging whether the sound intensity of the collected sound signal exceeds a preset sound intensity threshold value, if so, judging that the environment noise exists, and otherwise, judging that the environment noise does not exist.
As a further alternative of the method for capturing a directional sound source of ambient noise based on a microphone array, the step S3 specifically includes the following steps:
step S31, acquiring the phase of the environmental noise;
step S32, weighting processing is carried out according to the phase of the environmental noise, and the weight of each spatial coordinate point in the environmental noise is obtained;
and step S33, clustering according to the weight of each spatial coordinate point to obtain the spatial coordinate of the target noise.
As a further alternative of the method for capturing a directional sound source of ambient noise based on a microphone array, the step S4 specifically includes the following steps:
and according to the space coordinate of the target noise, inhibiting and removing the environmental noise, thereby screening out a target noise segment.
As a further alternative of the method for capturing a directional sound source of ambient noise based on a microphone array, the step S5 specifically includes the following steps:
s51, obtaining video image coordinates according to the space coordinates of the target noise and the sound-image coordinate synchronization technology;
and S52, controlling the camera device to shoot the video according to the video image coordinates to obtain a video image segment generating the target noise.
An ambient noise sound source directional snapshot method device based on a microphone array, the device comprises:
the microphone array module is used for collecting sound signals;
the judging module is used for judging the noise intensity of the collected sound signals and judging whether environmental noise exists or not;
the spatial positioning analysis module is used for carrying out spatial positioning analysis on the environmental noise to obtain a spatial coordinate of the target noise;
the screening module is used for screening the environmental noise to obtain a target noise fragment;
the control module is used for obtaining a video image segment generating the target noise according to the space coordinate of the target noise and the sound-image coordinate synchronization technology;
and the storage module is used for storing the target noise segment and the video image segment generating the target noise.
As a further alternative of the microphone array based ambient noise sound source directional snapshot method apparatus, the determining module includes:
the first acquisition module is used for acquiring a preset sound intensity threshold;
and the analysis module is used for judging whether the sound intensity of the collected sound signal exceeds a preset sound intensity threshold value, if so, judging that the environment noise exists, and otherwise, judging that the environment noise does not exist.
As a further alternative of the microphone array based ambient noise sound source directional snapshot method apparatus, the spatial localization analysis module includes:
the second acquisition module is used for acquiring the phase of the environmental noise;
the weighting processing module is used for carrying out weighting processing according to the phase of the environmental noise to obtain the weight of each spatial coordinate point in the environmental noise;
and the clustering processing module is used for clustering according to the weight of each spatial coordinate point to obtain the spatial coordinate of the target noise.
As a further alternative of the microphone array based ambient noise sound source directional snapshot method apparatus, the filtering module employs a narrow-band filter.
As a further alternative of the microphone array based ambient noise sound source directional snapshot method apparatus, the control module includes:
the video image coordinate generating module is used for generating video image coordinates according to the space coordinates of the target noise and the sound picture coordinate synchronization technology;
and the camera device is used for controlling the camera device to carry out video shooting according to the video image coordinates to obtain a video image segment generating the target noise.
The invention has the beneficial effects that: the method comprises the steps of obtaining the space coordinate of target noise by carrying out space positioning analysis on the environment noise, screening the environment noise according to the space coordinate of the target noise to obtain a target noise fragment, accurately obtaining the target noise, and improving the accuracy of environment noise monitoring.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic flow chart of an ambient noise sound source directional snapshot method based on a microphone array according to the present invention;
fig. 2 is a schematic composition diagram of an ambient noise sound source directional snapshot apparatus based on a microphone array according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all 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 invention.
Referring to fig. 1-2, a method for capturing an ambient noise sound source based on a microphone array in a directional manner specifically includes the following steps:
step S1, collecting sound signals according to a microphone array;
s2, judging the noise intensity of the collected sound signals, judging whether environmental noise exists or not, if so, executing the step S3, otherwise, returning to the step S1;
s3, carrying out spatial positioning analysis on the environmental noise to obtain a spatial coordinate of the target noise;
s4, screening the environmental noise to obtain a target noise fragment;
s5, obtaining a video image segment generating the target noise according to the spatial coordinate and the sound-picture coordinate synchronization technology of the target noise;
and S6, storing the target noise segment and the video image segment generating the target noise, thereby realizing the directional snapshot of the environmental noise sound source.
In this embodiment, through carrying out the spatial localization analysis to ambient noise, obtain the spatial coordinate of target noise, and filter ambient noise according to the spatial coordinate of target noise, obtain the target noise fragment, can accurately acquire the target noise, improve the degree of accuracy of ambient noise monitoring, simultaneously, through the spatial coordinate according to the target noise and the synchronous technique of sound picture coordinate, obtain the video image fragment that produces the target noise, can accurately acquire the video image that produces the target noise, thereby the defect that prior art can't acquire the video image that produces the ambient noise has been solved.
It should be noted that, the sound signal is collected by the sound collection device of the multiple microphone combined array, and the positioning of the sound source in step S3 can be realized by using the time delay and phase difference data generated by the spatial layout of the microphone array, so as to ensure the reliability of sound source signal collection and the accuracy of noise analysis; in addition, the target noise segment and the video image segment generating the target noise in step S6 may be stored in a local storage device, or may be sent to a server via a communication module for storage, which is not limited in this embodiment.
Preferably, the step S2 specifically includes the following steps:
s21, acquiring a preset sound intensity threshold;
and S22, judging whether the sound intensity of the collected sound signal exceeds a preset sound intensity threshold, if so, judging that the environment noise exists, and otherwise, judging that the environment noise does not exist.
In this embodiment, whether a decibel value of a certain sound channel in the microphone array exceeds a preset sound intensity threshold is calculated, if yes, it is determined that there is environmental noise, and the next step is performed, otherwise, the step returns to S1.
Preferably, the step S3 specifically includes the following steps:
step S31, obtaining the phase of the environmental noise;
step S32, weighting processing is carried out according to the phase of the environmental noise, and the weight of each spatial coordinate point in the environmental noise is obtained;
and S33, clustering according to the weight of each spatial coordinate point to obtain the spatial coordinate of the target noise.
In this embodiment, the weight of each spatial coordinate point in the environmental noise can be obtained by obtaining the phase of the environmental noise of a single microphone in the microphone array and calculating the sum of the generalized cross-correlation functions weighted by the phase transformation of the signal received by the single microphone in the microphone array, the spatial coordinate points are ranked according to the weight of each spatial coordinate point to obtain N spatial coordinate points with the highest weight, the N spatial coordinate points are clustered, the spatial coordinate points closest to the target noise feature are selected by clustering, and the coordinates corresponding to the spatial coordinate points are the spatial coordinates of the target noise.
Preferably, the step S4 specifically includes the following steps:
and according to the space coordinate of the target noise, inhibiting and removing the environmental noise, thereby screening out a target noise segment.
In the embodiment, a narrow-band filter is constructed in a frequency domain, environmental noise is suppressed and removed, target noise is screened out, sound in other angle directions outside the target signal direction is suppressed and removed by using the spatial coordinates of the target noise, and other noise is filtered on the premise of realizing no loss of the target noise, and only target noise audio is obtained; the method for implementing the suppression and removal of the environmental noise by the narrow-band filter includes obtaining a sound source coordinate in step S3, obtaining an incident angle of a target noise about θ, obtaining a guide vector a (θ) of a target noise point, obtaining a weight vector W of the filter through the guide vector a (θ) of the target noise point, setting x (n) as a sound signal received by the microphone array, and y (n) as a sound signal output by the filter, and performing a weighting operation on the sound signal x (n) received by the microphone through the weight W to obtain a sound signal y (n) of the target noise with other noise filtered; the formula for the weight vector W is:
the formula for obtaining the sound signal y (n) is:
y(n)＝W H X(n)。
preferably, the step S5 specifically includes the following steps:
s51, obtaining video image coordinates according to the space coordinates of the target noise and the sound-image coordinate synchronization technology;
and S52, controlling the camera device to shoot the video according to the video image coordinates to obtain a video image segment generating the target noise.
In this embodiment, a sound-picture coordinate synchronization technology is adopted to obtain video image coordinates corresponding to spatial coordinates of target noise, the spatial coordinates of the target noise and the video image coordinates are transmitted to a video image acquisition module by a signal analysis module to perform video recording and image capturing, it should be noted that the video image acquisition module includes a camera device, a cradle head and other devices which are necessary but not listed in the shooting and evidence obtaining process, the evidence obtaining module receives video image coordinate signals, and the cradle head drives the camera to align to the position of a target sound source to perform video recording and image capturing.
An ambient noise sound source directional snapshot method device based on a microphone array, the device comprising:
the microphone array module is used for collecting sound signals;
the judging module is used for judging the noise intensity of the collected sound signals and judging whether environmental noise exists or not;
the spatial positioning analysis module is used for carrying out spatial positioning analysis on the environmental noise to obtain a spatial coordinate of the target noise;
the screening module is used for screening the environmental noise to obtain a target noise fragment;
the control module is used for obtaining a video image segment generating the target noise according to the space coordinate of the target noise and the sound image coordinate synchronization technology;
and the storage module is used for storing the target noise segment and the video image segment generating the target noise.
In this embodiment, spatial localization analysis is performed on environmental noise to obtain spatial coordinates of target noise, and the environmental noise is screened according to the spatial coordinates of the target noise to obtain target noise fragments, so that the target noise can be accurately obtained, and the accuracy of monitoring the environmental noise is improved.
It should be noted that, the sound signal is collected by the sound collection device of the multiple microphone combined array, and the positioning of the sound source in step S3 can be realized by using the time delay and phase difference data generated by the spatial layout of the microphone array, so as to ensure the reliability of sound source signal collection and the accuracy of noise analysis; in addition, the target noise segment and the video image segment generating the target noise in step S6 may be stored in a local storage device, or may be sent to a server via a communication module for storage, which is not limited in this respect.
Preferably, the judging module includes:
the first acquisition module is used for acquiring a preset sound intensity threshold;
and the analysis module is used for judging whether the sound intensity of the acquired sound signal exceeds a preset sound intensity threshold value, if so, judging that the environment noise exists, and otherwise, judging that the environment noise does not exist.
In this embodiment, whether a decibel value of a certain sound channel in the microphone array exceeds a preset sound intensity threshold is calculated, if yes, it is determined that there is environmental noise, and the next step is performed, otherwise, a sound signal is collected again.
Preferably, the spatial localization analysis module includes:
the second acquisition module is used for acquiring the phase of the environmental noise;
the weighting processing module is used for carrying out weighting processing according to the phase of the environmental noise to obtain the weight of each spatial coordinate point in the environmental noise;
and the clustering processing module is used for clustering according to the weight of each spatial coordinate point to obtain the spatial coordinate of the target noise.
In this embodiment, the phase of the environmental noise of a single microphone in the microphone array is obtained, the sum of the generalized cross-correlation functions weighted by phase transformation of signals received by the single microphone in the microphone array is calculated, the weight of each spatial coordinate point in the environmental noise can be obtained, the spatial coordinate points are sequenced according to the weight of each spatial coordinate point, N spatial coordinate points with the highest weight are obtained, the N spatial coordinate points are clustered, the spatial coordinate point closest to the target noise characteristic is screened out through clustering, and the corresponding coordinates of the spatial coordinate points are the spatial coordinates of the target noise.
Preferably, the screening module adopts a narrow-band filter.
In this embodiment, a narrow-band filter is constructed in a frequency domain, so as to suppress and remove environmental noise, screen out target noise, and suppress and remove sounds in other angular directions outside the target signal direction by using the spatial coordinates of the target noise, so as to filter out other noises and obtain only a target noise audio frequency on the premise of not losing the target noise.
Preferably, the control module includes:
the video image coordinate generating module is used for generating video image coordinates according to the space coordinates of the target noise and the sound picture coordinate synchronization technology;
and the camera device is used for controlling the camera device to shoot videos according to the video image coordinates to obtain a video image segment generating the target noise.
In this embodiment, a sound-picture coordinate synchronization technology is adopted to obtain video image coordinates corresponding to spatial coordinates of target noise, the spatial coordinates of the target noise and the video image coordinates are transmitted to a video image acquisition module by a signal analysis module to perform video recording and image capturing, it should be noted that the video image acquisition module includes a camera device, a cradle head and other devices which are necessary but not listed in the shooting and evidence obtaining process, the evidence obtaining module receives video image coordinate signals, and the cradle head drives the camera to align to the position of a target sound source to perform video recording and image capturing.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the present invention, which is intended to cover any modifications, equivalents, improvements, etc. within the spirit and scope of the present invention.
Claims (10)
1. A directional snapshot method of an environmental noise sound source based on a microphone array is characterized by comprising the following steps:
step S1, collecting sound signals according to a microphone array;
s2, judging the noise intensity of the collected sound signal, judging whether environmental noise exists, if so, executing the step S3, otherwise, returning to the step S1;
s3, carrying out spatial positioning analysis on the environmental noise to obtain a spatial coordinate of the target noise;
s4, screening the environmental noise to obtain a target noise fragment;
s5, obtaining a video image segment generating the target noise according to the space coordinate and sound image coordinate synchronization technology of the target noise;
and S6, storing the target noise segment and the video image segment generating the target noise, thereby realizing the directional snapshot of the environmental noise sound source.
2. The method as claimed in claim 1, wherein the step S2 specifically includes the following steps:
step S21, acquiring a preset sound intensity threshold;
and S22, judging whether the sound intensity of the collected sound signal exceeds a preset sound intensity threshold, if so, judging that the environment noise exists, and otherwise, judging that the environment noise does not exist.
3. The method as claimed in claim 2, wherein the step S3 specifically includes the following steps:
step S31, acquiring the phase of the environmental noise;
step S32, weighting processing is carried out according to the phase of the environmental noise, and the weight of each spatial coordinate point in the environmental noise is obtained;
and step S33, clustering according to the weight of each spatial coordinate point to obtain the spatial coordinate of the target noise.
4. The method as claimed in claim 3, wherein the step S4 specifically includes the following steps:
and according to the space coordinate of the target noise, inhibiting and removing the environmental noise, thereby screening out a target noise segment.
5. The method as claimed in claim 4, wherein the step S5 specifically includes the following steps:
s51, obtaining a video image coordinate according to the space coordinate of the target noise and the sound image coordinate synchronization technology;
and S52, controlling the camera device to shoot the video according to the video image coordinates to obtain a video image segment generating the target noise.
6. An ambient noise source directional snapshot apparatus based on a microphone array, the apparatus comprising:
the microphone array module is used for collecting sound signals;
the judging module is used for judging the noise intensity of the collected sound signal and judging whether environmental noise exists;
the spatial positioning analysis module is used for carrying out spatial positioning analysis on the environmental noise to obtain a spatial coordinate of the target noise;
the screening module is used for screening the environmental noise to obtain a target noise fragment;
the control module is used for obtaining a video image segment generating the target noise according to the space coordinate of the target noise and the sound image coordinate synchronization technology;
and the storage module is used for storing the target noise segment and the video image segment generating the target noise.
7. The microphone array based ambient noise sound source directional snapshot apparatus as claimed in claim 6, wherein the determining module comprises:
the first acquisition module is used for acquiring a preset sound intensity threshold;
and the analysis module is used for judging whether the sound intensity of the acquired sound signal exceeds a preset sound intensity threshold value, if so, judging that the environment noise exists, and otherwise, judging that the environment noise does not exist.
8. The ambient noise sound source orientation snapshot apparatus based on microphone array as claimed in claim 7, wherein the spatial orientation analysis module comprises:
the second acquisition module is used for acquiring the phase of the environmental noise;
the weighting processing module is used for carrying out weighting processing according to the phase of the environmental noise to obtain the weight of each spatial coordinate point in the environmental noise;
and the clustering processing module is used for clustering according to the weight of each spatial coordinate point to obtain the spatial coordinate of the target noise.
9. The microphone array based ambient noise sound source directional snapshot apparatus as claimed in claim 8, wherein said filter module employs a narrow band filter.
10. The microphone array based ambient noise sound source directional snap-shot device as claimed in claim 9, wherein said control module comprises:
the video image coordinate generating module is used for generating a video image coordinate according to the space coordinate of the target noise and the sound picture coordinate synchronization technology;
and the camera device is used for controlling the camera device to shoot videos according to the video image coordinates to obtain a video image segment generating the target noise.
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Application publication date: 20221011 |