CN106228993B - Method and device for eliminating noise and electronic equipment - Google Patents
Method and device for eliminating noise and electronic equipment Download PDFInfo
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- CN106228993B CN106228993B CN201610866366.6A CN201610866366A CN106228993B CN 106228993 B CN106228993 B CN 106228993B CN 201610866366 A CN201610866366 A CN 201610866366A CN 106228993 B CN106228993 B CN 106228993B
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0316—Speech enhancement, e.g. noise reduction or echo cancellation by changing the amplitude
- G10L21/0324—Details of processing therefor
- G10L21/0332—Details of processing therefor involving modification of waveforms
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/78—Detection of presence or absence of voice signals
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/78—Detection of presence or absence of voice signals
- G10L2025/783—Detection of presence or absence of voice signals based on threshold decision
Abstract
The method and the device for eliminating the noise and the electronic equipment judge whether the obtained audio sampling signal has a sudden change position when switching between a non-silent audio sampling point and a silent audio sampling point, if so, the audio sampling signal is subjected to smooth filtering processing to eliminate the sudden change position, namely, the popping noise generated in the processes of switching different music, switching different code stream video data and the like is eliminated, and further, the auditory experience of a user is improved.
Description
Technical Field
The present application relates to the field of audio data processing, and more particularly, to a method and apparatus for eliminating noise and an electronic device.
Background
The audio waveform discontinuity phenomenon occurs in the processes of pausing music playing, starting music playing, switching different music, switching different code stream video data and the like. For example, when video data of different code streams are switched, loading of audio and video streams requires a certain time, and there may be a few seconds of empty fields in the middle, so that in the switching process, the played audio data involves conversion from a non-silent audio sampling point to a silent audio sampling point and conversion from a silent audio sampling point to a non-silent audio sampling point. When the non-silent audio sampling point is converted into the silent audio sampling point, the audio waveform is as shown in fig. 1, the left side of the abrupt change position A is the non-silent audio sampling point, and the right side of the abrupt change position A is the silent audio sampling point; when switching from a silent audio sampling point to a non-silent audio sampling point, the audio waveform is as shown in fig. 2, the left side of the abrupt change position B is the silent audio sampling point, and the right side of the abrupt change position B is the non-silent audio sampling point. It is apparent from the virtual wire frames in fig. 1 and 2 that the waveform is discontinuous and has a large abrupt change. In the continuous playing process of the audio sampling points, when the audio sampling points are played to the sudden change positions, popping sounds similar to 'papa' sounds can be caused, and the hearing experience of a user is further reduced.
Disclosure of Invention
In view of this, the present application provides a method and an apparatus for eliminating noise and an electronic device, which are intended to solve the technical problem of reducing the hearing experience of a user due to the pop noise generated during the switching of different music and the switching of different code stream video data.
In order to solve the above technical problems, the proposed solution is as follows:
a method of canceling noise, comprising:
acquiring an audio sampling signal, wherein the audio sampling signal comprises N +1 continuous audio sampling points, and N is a positive integer;
judging whether the audio sampling point signal has a sudden change position when switching between a non-mute audio sampling point and a mute audio sampling point;
and if the abrupt change position exists, performing smooth filtering processing on the audio sampling signal to eliminate the abrupt change position.
Preferably, the determining whether there is a sudden change position in the audio sampling point signal when switching between a non-silent audio sampling point and a silent audio sampling point includes:
in the audio sampling signals, every two adjacent audio sampling points are subjected to difference to obtain N first difference values, and absolute value operation is carried out on each first difference value to obtain N second difference values;
judging whether each second difference value is larger than a preset first threshold value or not, and determining two audio sampling points corresponding to the second difference values larger than the first threshold value as suspected mutation positions;
respectively performing absolute value operation on M1 continuous audio sampling points before the suspected mutation position, and performing average value operation on M1 continuous audio sampling points after absolute value operation to obtain a first average value, wherein M1 is a positive integer and is less than N;
respectively performing absolute value operation on the M2 continuous audio sampling points behind the suspected mutation position, and performing average value operation on the M2 continuous audio sampling points after the absolute value operation is completed to obtain a second average value, wherein M2 is a positive integer and is less than N;
judging whether a preset second threshold value is not smaller than the first average value and smaller than the second average value;
if the abrupt change position exists, performing smooth filtering processing on the audio sampling signal to eliminate the abrupt change position comprises:
and if the second threshold value is not smaller than the first average value and smaller than the second average value, determining the suspected sudden change position as a first sudden change position when the silent audio sampling point is converted into a non-silent audio sampling point, and performing smooth filtering processing on the audio sampling signal to eliminate the first sudden change position.
Preferably, after obtaining the second average value, the method further includes:
judging whether a preset second threshold value is smaller than the first average value and not smaller than the second average value;
if the abrupt change position exists, performing smooth filtering processing on the audio sampling signal to eliminate the abrupt change position further comprises:
and if the second threshold value is smaller than the first average value and not smaller than the second average value, determining the suspected sudden change position as a second sudden change position when the non-silent audio sampling point is converted into the silent audio sampling point, and performing smooth filtering processing on the audio sampling signal to eliminate the second sudden change position.
Preferably, the determining whether there is a sudden change position in the audio sampling point signal when switching between a non-silent audio sampling point and a silent audio sampling point includes:
in the audio sampling signals, every two adjacent audio sampling points are subjected to difference to obtain N first difference values, and absolute value operation is carried out on each first difference value to obtain N second difference values;
judging whether each second difference is greater than a preset first threshold, and determining two audio sampling points corresponding to the second difference greater than the first threshold as suspected mutation positions;
respectively performing absolute value operation on M1 continuous audio sampling points before the suspected mutation position, and performing average value operation on M1 continuous audio sampling points after absolute value operation to obtain a first average value, wherein M1 is a positive integer and is less than N;
respectively performing absolute value operation on the M2 continuous audio sampling points behind the suspected mutation position, and performing average value operation on the M2 continuous audio sampling points after the absolute value operation is completed to obtain a second average value, wherein M2 is a positive integer and is less than N;
judging whether a preset second threshold value is smaller than the first average value and not smaller than the second average value;
if the abrupt change position exists, performing smooth filtering processing on the audio sampling signal to eliminate the abrupt change position comprises:
and if the second threshold value is smaller than the first average value and not smaller than the second average value, determining the suspected sudden change position as a second sudden change position when the non-silent audio sampling point is converted into the silent audio sampling point, and performing smooth filtering processing on the audio sampling signal to eliminate the second sudden change position.
An apparatus for canceling noise, comprising:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring an audio sampling signal, the audio sampling signal comprises N +1 continuous audio sampling points, and N is a positive integer;
the first judgment unit is used for judging whether the audio sampling point signal has a sudden change position when switching between a non-silent audio sampling point and a silent audio sampling point;
and the filtering processing unit is used for performing smooth filtering processing on the audio sampling signal when the abrupt change position exists so as to eliminate the abrupt change position.
Preferably, the first judging unit includes:
the first calculating subunit is configured to perform difference on every two adjacent audio sampling points in the audio sampling signal to obtain N first difference values, and perform absolute value calculation on each first difference value to obtain N second difference values;
the first judgment subunit is used for judging whether each second difference value is greater than a preset first threshold value or not, and determining two audio sampling points corresponding to the second difference values greater than the first threshold value as suspected mutation positions;
the second calculation subunit is configured to perform absolute value calculation on M1 consecutive audio sampling points before the suspected mutation position, and perform average value calculation on M1 consecutive audio sampling points after the absolute value calculation is performed, so as to obtain a first average value, where M1 is a positive integer and is less than N;
the third calculation subunit is used for respectively carrying out absolute value operation on the M2 continuous audio sampling points after the suspected mutation position, and carrying out average value operation on the M2 continuous audio sampling points after the absolute value operation is finished to obtain a second average value, wherein M2 is a positive integer and is less than N;
a second judging subunit, configured to judge whether a preset second threshold is not smaller than the first average value and smaller than the second average value;
the filtering processing unit includes:
and the first filtering processing subunit is configured to determine that the suspected sudden change position is a first sudden change position when the silent audio sampling point is converted into a non-silent audio sampling point if a second threshold value is not smaller than the first average value and is smaller than the second average value, and perform smooth filtering processing on the audio sampling signal to eliminate the first sudden change position.
Preferably, the first judging unit further includes:
a third judging subunit, configured to judge whether a preset second threshold is smaller than the first average value and not smaller than the second average value;
the filtering processing unit further includes:
and the second filtering processing subunit is configured to determine, if the second threshold is smaller than the first average value and not smaller than the second average value, that the suspected sudden change position is a second sudden change position when the non-silent audio sampling point is converted into a silent audio sampling point, and perform smooth filtering processing on the audio sampling signal to eliminate the second sudden change position.
Preferably, the first judging unit includes:
the first calculating subunit is configured to perform difference on every two adjacent audio sampling points in the audio sampling signal to obtain N first difference values, and perform absolute value calculation on each first difference value to obtain N second difference values;
the first judgment subunit is used for judging whether each second difference value is greater than a preset first threshold value or not, and determining two audio sampling points corresponding to the second difference values greater than the first threshold value as suspected mutation positions;
the second calculation subunit is configured to perform absolute value calculation on M1 consecutive audio sampling points before the suspected mutation position, and perform average value calculation on M1 consecutive audio sampling points after the absolute value calculation is performed, so as to obtain a first average value, where M1 is a positive integer and is less than N;
the third calculation subunit is used for respectively carrying out absolute value operation on the M2 continuous audio sampling points after the suspected mutation position, and carrying out average value operation on the M2 continuous audio sampling points after the absolute value operation is finished to obtain a second average value, wherein M2 is a positive integer and is less than N;
a third judging subunit, configured to judge whether a preset second threshold is smaller than the first average value and not smaller than the second average value;
the filtering processing unit includes:
and the second filtering processing subunit is configured to determine, if the second threshold is smaller than the first average value and not smaller than the second average value, that the suspected sudden change position is a second sudden change position when the non-silent audio sampling point is converted into a silent audio sampling point, and perform smooth filtering processing on the audio sampling signal to eliminate the second sudden change position.
An electronic device comprises the device for eliminating the noise.
Compared with the prior art, the technical scheme provided by the application has the following advantages:
the method and the device for eliminating the noise and the electronic equipment judge whether the obtained audio sampling signal has a sudden change position when switching between a non-silent audio sampling point and a silent audio sampling point, if so, the audio sampling signal is subjected to smooth filtering processing to eliminate the sudden change position, namely, the popping noise generated in the processes of switching different music, switching different code stream video data and the like is eliminated, and further, the auditory experience of a user is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a graph of audio waveforms at a transition from a non-silent audio sample point to a silent audio sample point;
FIG. 2 is a graph of audio waveforms at the transition from a silent audio sample point to an un-silent audio sample point;
FIG. 3 is a schematic flow chart of a method for eliminating noise according to the present application;
FIG. 4 is a waveform diagram after the noise cancellation method provided by the present application is adopted;
FIG. 5 is a waveform diagram illustrating a noise cancellation method according to the present application;
fig. 6 is a flowchart illustrating a method for removing noise according to an embodiment of the present application;
fig. 7 is a schematic flowchart of another method for removing noise according to an embodiment of the present application;
fig. 8 is a schematic flowchart of another method for removing noise according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of an apparatus for removing noise according to the present application;
fig. 10 is a schematic structural diagram of an apparatus for removing noise according to an embodiment of the present disclosure;
fig. 11 is a schematic structural diagram of another noise cancellation apparatus according to an embodiment of the present application;
fig. 12 is a schematic structural diagram of another apparatus for eliminating noise according to an embodiment of the present disclosure.
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.
The present application provides a method for eliminating noise, please refer to fig. 3, which shows a flow chart of the method, and the method includes:
step S11: acquiring an audio sampling signal, wherein the audio sampling signal comprises N +1 continuous audio sampling points, and N is a positive integer;
generally, there is buffering for several hundred milliseconds during audio playing, and data in the buffer area is sequentially output one by one. Therefore, the audio sample signal can be acquired from the buffer area before the audio sample signal is not output. The audio sampling signals in the buffer area are digital audio signals converted from analog audio signals, namely, individual values. The audio sampling point is a numerical value represented after the analog audio signal is converted into the digital audio signal.
Step S12: judging whether the audio sampling point signal has a sudden change position when switching between a non-mute audio sampling point and a mute audio sampling point;
abrupt change positions A shown in figure 1 exist when the non-silent audio sampling points are converted into the silent audio sampling points; there is a sudden change in position B shown in fig. 2 at the transition from a silent audio sample point to an un-silent audio sample point. Step S12 is executed to determine whether there is a sudden change position a in the audio sample signal, or whether there is a sudden change position B in the audio sample signal, or whether there is a sudden change position a or a sudden change position B in the audio sample signal. The abrupt change position A and the abrupt change position B are both caused by the large difference between two adjacent audio sampling points. Therefore, the two audio sampling points corresponding to the abrupt change position A or the abrupt change position B can be found by judging according to the difference value of the two adjacent audio sampling points.
Step S13: and if the abrupt change position exists, performing smooth filtering processing on the audio sampling signal to eliminate the abrupt change position.
Performing linear fade-out operation processing on a first audio sampling point and continuous M3 audio sampling points in front of the first audio sampling point, performing linear fade-in operation processing on a second audio sampling point and continuous M4 audio sampling points behind the second audio sampling point, wherein the audio sampling point positioned in front of the two audio sampling points corresponding to the abrupt change positions is the first audio sampling point, the audio sampling point positioned behind the two audio sampling points corresponding to the abrupt change positions is the second audio sampling point, and M3 and M4 are both positive integers and are less than N.
And performing smooth filtering processing on the audio sampling signal with the abrupt change position by using a fast thread filtering algorithm. If the sampling point is the abrupt change position A, linear fade-out processing is carried out on the first audio sampling point (namely the audio sampling point with the front position in the two audio sampling points contained in the abrupt change position A) and the first N1 continuous audio sampling points, namely, the product operation is carried out on the audio sampling point contained in the first audio sampling point from the N1 th audio sampling point before the first audio sampling point to the audio sampling point contained in the first audio sampling point according to the operation function f, and f is more than or equal to 0 and less than or equal to 1. When the first audio sampling point is operated with the N1 th audio sampling point before the first audio sampling point, f is set to be 1, and f is linearly reduced in the subsequent operation, and it is ensured that when the first audio sampling point is finally operated with the first audio sampling point, f is set to be 0, and the processed audio waveform is as shown in fig. 4. If the audio sampling point is at the abrupt change position B, the second audio sampling point (namely the audio sampling point with the later position in the two audio sampling points included in the abrupt change position B) and the N2 continuous audio sampling points behind the second audio sampling point are subjected to linear fade-in processing, namely the sampling points included in the second audio sampling point to the N2 audio sampling point behind the second audio sampling point are subjected to product operation with an operation function f, wherein f is more than or equal to 0 and less than or equal to 1. When the operation is performed on the second audio sampling point, f is 0, and f is linearly increased in the subsequent operation, and it is ensured that when the operation is finally performed on the N2 th audio sampling point after the second audio sampling point, f is 1, and the processed audio waveform is as shown in fig. 5.
The method for eliminating the noise judges whether the obtained audio sampling signal has a sudden change position when switching between a non-silent audio sampling point and a silent audio sampling point, if so, the audio sampling signal is subjected to smooth filtering processing to eliminate the sudden change position, namely, the explosive noise generated in the processes of switching different music, switching different code stream video data and the like is eliminated, and further, the auditory experience of a user is improved.
It should be noted that, the larger the values of N1 and N2 are, the smoother the waveform processing is, and the better the effect is, but the larger the values are, the larger the calculation amount is, the longer the time is, so that the problem that the real-time processing cannot be performed due to too large values is caused, and the values of N1 and N2 are generally between 50 and 150.
Example one
The present embodiment provides a method for removing noise, which removes a first abrupt change position (i.e. an abrupt change position B) when a silent audio sample point existing in an audio sample signal is converted to a non-silent audio sample point, please refer to fig. 6, which shows a flow diagram of the method, and the method includes:
step S21: acquiring an audio sampling signal, wherein the audio sampling signal comprises N +1 continuous audio sampling points;
step S22: in the audio sampling signals, every two adjacent audio sampling points are subjected to difference to obtain N first difference values, and absolute value operation is carried out on each first difference value to obtain N second difference values;
and (4) performing difference on every two adjacent audio sampling points in the audio sampling signal, and taking an absolute value for operation so as to judge the position of the waveform mutation. Specifically, in the audio sampling signal, subtracting the audio sampling point with the rear position from the audio sampling point with the front position in every two adjacent audio sampling points to obtain N first difference values; or, in the audio sampling signal, subtracting the audio sampling point with the front position from the audio sampling point with the back position in every two adjacent audio sampling points to obtain N first difference values.
For example, the acquired audio sample signal comprises 4 consecutive audio sample points N1、N2、N3、N4The output sequence of the 4 audio sampling points is N in turn1、N2、N3、N4. Then for the audio sample point N1And N2，N1Position in front, N2The position is the rear. Respectively adding N1Minus N2、N2Minus N3、N3Minus N4To obtain 3 first differences, i.e. N1-N2、N2-N3、N3-N4. Taking the absolute value of the first difference to obtain a second difference, namely | N1-N2|、|N2-N3|、|N3-N4L. Or, respectively adding N2Minus N1、N3Minus N2、N4Minus N3To obtain 3 first differences, i.e. N2-N1、N3-N2、N4-N3. Taking the absolute value of the first difference to obtain a second difference, namely | N2-N1|、|N3-N2|、|N4-N3|。
Step S23: judging whether each second difference is greater than a preset first threshold, and determining two audio sampling points corresponding to the second difference greater than the first threshold as suspected mutation positions;
step S24: respectively performing absolute value operation on M1 continuous audio sampling points before the suspected mutation position, and performing average value operation on M1 continuous audio sampling points after absolute value operation to obtain a first average value, wherein M1 is a positive integer and is less than N;
the M1 consecutive audio samples are M1 audio samples from the M1 audio sample before the third audio sample to the 1 st audio sample before the third audio sample. The third audio sampling point is the audio sampling point with the front position in the two audio sampling points corresponding to the suspected abrupt change positions.
Step S25: respectively performing absolute value operation on the M2 continuous audio sampling points behind the suspected mutation position, and performing average value operation on the M2 continuous audio sampling points after the absolute value operation is completed to obtain a second average value, wherein M2 is a positive integer and is less than N;
the M2 consecutive audio sample points are M2 audio sample points that are contained from the 1 st audio sample point after the fourth audio sample point to the M2 th audio sample point after the fourth audio sample point. The fourth audio sampling point is the audio sampling point with the later position in the two audio sampling points corresponding to the suspected abrupt change positions.
Step S26: judging whether a preset second threshold value is not smaller than the first average value and smaller than the second average value;
step S27: and if the second threshold value is not smaller than the first average value and smaller than the second average value, determining the suspected sudden change position as a first sudden change position when the silent audio sampling point is converted into a non-silent audio sampling point, and performing smooth filtering processing on the audio sampling signal to eliminate the first sudden change position.
If the music is soft, the difference value of two adjacent audio sampling points is smaller; if the audio frequency of the explosion sound exists, the difference value of a plurality of adjacent audio sampling points is large, and the audio frequency does not need to be processed. Therefore, only two audio sampling points corresponding to a second difference value larger than the first threshold value can be determined as suspected mutation positions, and then whether the suspected mutation positions are the first mutation positions when the mute audio sampling points are converted to the non-mute audio sampling points is judged according to the conditions of other audio sampling points before and after the suspected mutation positions. That is, if the second threshold is not less than the first average value and less than the second average value, the suspected sudden change position is determined as the first sudden change position when the silent audio sampling point is converted to the non-silent audio sampling point. According to the experimental result, the treatment effect is best when M1 is more than or equal to 40 and less than or equal to 80, M2 is more than or equal to 40 and less than or equal to 80, and the second threshold value is in the range of 50-100.
Example two
In this embodiment, another method for removing noise is provided, in which a second abrupt change position (i.e., an abrupt change position a) existing in an audio sample signal when a non-silent audio sample point switches to a silent audio sample point is removed, please refer to fig. 7, which shows a flowchart of the method, where the method includes:
step S31: acquiring an audio sampling signal, wherein the audio sampling signal comprises N +1 continuous audio sampling points;
step S32: in the audio sampling signals, every two adjacent audio sampling points are subjected to difference to obtain N first difference values, and absolute value operation is carried out on each first difference value to obtain N second difference values;
step S33: judging whether each second difference is greater than a preset first threshold, and determining two audio sampling points corresponding to the second difference greater than the first threshold as suspected mutation positions;
step S34: respectively performing absolute value operation on M1 continuous audio sampling points before the suspected mutation position, and performing average value operation on M1 continuous audio sampling points after absolute value operation to obtain a first average value;
step S35: respectively performing absolute value operation on the M2 continuous audio sampling points behind the suspected mutation position, and performing average value operation on the M2 continuous audio sampling points after the absolute value operation is completed to obtain a second average value;
step S36: judging whether a preset second threshold value is smaller than the first average value and not smaller than the second average value;
step S37: and if the second threshold value is smaller than the first average value and not smaller than the second average value, determining the suspected sudden change position as a second sudden change position when the non-silent audio sampling point is converted into the silent audio sampling point, and performing smooth filtering processing on the audio sampling signal to eliminate the second sudden change position.
EXAMPLE III
In this embodiment, another method for eliminating noise is provided, where a second abrupt change position existing in an audio sampling signal when a non-silent audio sampling point is converted to a silent audio sampling point is eliminated, and a first abrupt change position existing in the audio sampling signal when a silent audio sampling point is converted to a non-silent audio sampling point is eliminated, and for please refer to fig. 8, a schematic flow chart of the method is shown, where the method includes:
step S41: acquiring an audio sampling signal, wherein the audio sampling signal comprises N +1 continuous audio sampling points;
step S42: in the audio sampling signals, every two adjacent audio sampling points are subjected to difference to obtain N first difference values, and absolute value operation is carried out on each first difference value to obtain N second difference values;
step S43: judging whether each second difference is greater than a preset first threshold, and determining two audio sampling points corresponding to the second difference greater than the first threshold as suspected mutation positions;
step S44: respectively performing absolute value operation on M1 continuous audio sampling points before the suspected mutation position, and performing average value operation on M1 continuous audio sampling points after absolute value operation to obtain a first average value;
step S45: respectively performing absolute value operation on the M2 continuous audio sampling points behind the suspected mutation position, and performing average value operation on the M2 continuous audio sampling points after the absolute value operation is completed to obtain a second average value;
step S46: judging whether a preset second threshold value is smaller than the first average value and not smaller than the second average value, and judging whether the preset second threshold value is not smaller than the first average value and not smaller than the second average value;
step S47: if the second threshold is not less than the first average value and less than the second average value, determining the suspected sudden change position as a second sudden change position when the non-silent audio sampling point is converted to the silent audio sampling point, and performing smooth filtering processing on the audio sampling signal to eliminate the second sudden change position, or if the second threshold is not less than the first average value and less than the second average value, determining the suspected sudden change position as a first sudden change position when the silent audio sampling point is converted to the non-silent audio sampling point, and performing smooth filtering processing on the audio sampling signal to eliminate the first sudden change position.
The present application further provides a device for eliminating noise, referring to fig. 9, which shows a schematic structural diagram of the device, and the device includes:
the audio sampling unit 101 is configured to acquire an audio sampling signal, where the audio sampling signal includes N +1 consecutive audio sampling points, and N is a positive integer;
a first judging unit 102, configured to judge whether there is a sudden change position in the audio sampling point signal when switching between a non-silent audio sampling point and a silent audio sampling point;
and the filtering processing unit 103 is configured to, when the abrupt change position exists, perform smoothing filtering processing on the audio sample signal to eliminate the abrupt change position.
The device for eliminating noise provided by the application comprises a first judging unit 102 for judging whether the obtained audio sampling signal has a sudden change position when switching between a non-silent audio sampling point and a silent audio sampling point, if so, a filtering processing unit 103 performs smooth filtering processing on the audio sampling signal to eliminate the sudden change position, namely, eliminating the popping noise generated in the processes of switching different music, switching different code stream video data and the like, and further improving the auditory experience of a user.
Example four
The present embodiment provides a device for removing noise, which is used to remove a first abrupt change position when a silent audio sampling point in an audio sampling signal is converted to an un-silent audio sampling point, as shown in fig. 10, showing a schematic structural diagram of the device, the device includes: an acquisition unit 101, a first judgment unit 102, and a filter processing unit 103, wherein,
an obtaining unit 101, configured to obtain an audio sampling signal, where the audio sampling signal includes N +1 consecutive audio sampling points;
the first judgment unit 102 includes:
a first calculating subunit 1021, configured to perform a difference on every two adjacent audio sampling points in the audio sampling signal to obtain N first difference values, and perform an absolute value operation on each of the first difference values to obtain N second difference values;
the first determining subunit 1022 is configured to determine whether each second difference is greater than a preset first threshold, and determine two audio sampling points corresponding to the second difference greater than the first threshold as suspected mutation positions;
the second calculating subunit 1023 is configured to perform absolute value calculation on M1 consecutive audio sampling points before the suspected mutation position, and perform average value calculation on M1 consecutive audio sampling points after the absolute value calculation is performed, so as to obtain a first average value;
the third calculating subunit 1024 is configured to perform absolute value calculation on the M2 consecutive audio sampling points after the suspected mutation position, and perform average value calculation on the M2 consecutive audio sampling points after the absolute value calculation is completed to obtain a second average value;
a second determining subunit 1025, configured to determine whether a preset second threshold is not less than the first average value and is less than the second average value;
the filter processing unit 103 includes:
a first filtering processing subunit 1031, configured to determine that the suspected sudden change position is a first sudden change position when a silent audio sampling point is converted to a non-silent audio sampling point if a second threshold is not less than the first average value and is less than the second average value, and perform smooth filtering processing on the audio sampling signal to eliminate the first sudden change position.
EXAMPLE five
This embodiment provides another noise cancellation apparatus for canceling a second abrupt change position when a non-silent audio sample point existing in an audio sample signal is converted to a silent audio sample point, please refer to fig. 11, which shows a schematic structural diagram of the apparatus, and the apparatus includes: an acquisition unit 101, a first judgment unit 102, and a filter processing unit 103, wherein,
an obtaining unit 101, configured to obtain an audio sampling signal, where the audio sampling signal includes N +1 consecutive audio sampling points;
the first judgment unit 102 includes:
a first calculating subunit 1021, configured to perform a difference on every two adjacent audio sampling points in the audio sampling signal to obtain N first difference values, and perform an absolute value operation on each of the first difference values to obtain N second difference values;
the first determining subunit 1022 is configured to determine whether each second difference is greater than a preset first threshold, and determine two audio sampling points corresponding to the second difference greater than the first threshold as suspected mutation positions;
the second calculating subunit 1023 is configured to perform absolute value calculation on M1 consecutive audio sampling points before the suspected mutation position, and perform average value calculation on M1 consecutive audio sampling points after the absolute value calculation is performed, so as to obtain a first average value;
the third calculating subunit 1024 is configured to perform absolute value calculation on the M2 consecutive audio sampling points after the suspected mutation position, and perform average value calculation on the M2 consecutive audio sampling points after the absolute value calculation is completed to obtain a second average value;
a third determining subunit 1026, configured to determine whether a preset second threshold is smaller than the first average value and is not smaller than the second average value;
the filter processing unit 103 includes:
a second filtering processing subunit 1032, configured to determine, if the second threshold is smaller than the first average value and not smaller than the second average value, that the suspected sudden change position is a second sudden change position when the non-silent audio sampling point is converted into a silent audio sampling point, and perform smoothing filtering processing on the audio sampling signal to eliminate the second sudden change position.
EXAMPLE six
The present embodiment provides another noise cancellation apparatus, configured to cancel a second abrupt change position when a non-silent audio sample point existing in an audio sample signal is converted to a silent audio sample point, and cancel a first abrupt change position when a silent audio sample point existing in the audio sample signal is converted to the non-silent audio sample point, please refer to fig. 12, which shows a schematic structural diagram of the apparatus, and the apparatus includes: an acquisition unit 101, a first judgment unit 102, and a filter processing unit 103, wherein,
an obtaining unit 101, configured to obtain an audio sampling signal, where the audio sampling signal includes N +1 consecutive audio sampling points;
the first judgment unit 102 includes:
a first calculating subunit 1021, configured to perform a difference on every two adjacent audio sampling points in the audio sampling signal to obtain N first difference values, and perform an absolute value operation on each of the first difference values to obtain N second difference values;
the first determining subunit 1022 is configured to determine whether each second difference is greater than a preset first threshold, and determine two audio sampling points corresponding to the second difference greater than the first threshold as suspected mutation positions;
the second calculating subunit 1023 is configured to perform absolute value calculation on M1 consecutive audio sampling points before the suspected mutation position, and perform average value calculation on M1 consecutive audio sampling points after the absolute value calculation is performed, so as to obtain a first average value;
the third calculating subunit 1024 is configured to perform absolute value calculation on the M2 consecutive audio sampling points after the suspected mutation position, and perform average value calculation on the M2 consecutive audio sampling points after the absolute value calculation is completed to obtain a second average value;
a second determining subunit 1025, configured to determine whether a preset second threshold is not less than the first average value and is less than the second average value;
a third determining subunit 1026, configured to determine whether a preset second threshold is smaller than the first average value and is not smaller than the second average value;
the filter processing unit 103 includes:
a first filtering processing subunit 1031, configured to determine that the suspected sudden change position is a first sudden change position when a silent audio sampling point is converted to a non-silent audio sampling point if a second threshold is not less than the first average value and is less than the second average value, and perform smooth filtering processing on the audio sampling signal to eliminate the first sudden change position.
A second filtering processing subunit 1032, configured to determine, if the second threshold is smaller than the first average value and not smaller than the second average value, that the suspected sudden change position is a second sudden change position when the non-silent audio sampling point is converted into a silent audio sampling point, and perform smoothing filtering processing on the audio sampling signal to eliminate the second sudden change position.
The present application also provides an electronic device, comprising: an apparatus for eliminating noise provided by the above embodiments. The noise eliminating device is used for eliminating the popping noise caused by operations of pausing music playing, starting music playing, switching different music, switching different code stream video data and the like of a user, and further improving the hearing experience of the user. The electronic device may be a mobile phone, a desktop computer, a notebook computer, a tablet computer, a television, an MP3 player, an MP4 player, and the like.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
In the several embodiments provided in the present application, it should be understood that the disclosed method, apparatus, and device may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative; the division of the unit is only a logic function division, and other division modes can be provided in actual implementation; multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
For the device embodiments, since they substantially correspond to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points. The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment. In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method described in the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. A method of canceling noise, comprising:
acquiring an audio sampling signal, wherein the audio sampling signal comprises N +1 continuous audio sampling points, and N is a positive integer;
analyzing the difference value of adjacent audio sampling points in the audio sampling signal, and judging whether the audio sampling point signal has a sudden change position when switching between a non-silent audio sampling point and a silent audio sampling point;
if the abrupt change position exists, performing smooth filtering processing on the audio sampling signal to eliminate the abrupt change position;
the analyzing the difference value of adjacent audio sampling points in the audio sampling signal and judging whether the abrupt change position of the audio sampling point signal when the non-mute audio sampling point and the mute audio sampling point are switched comprises the following steps:
in the audio sampling signals, every two adjacent audio sampling points are subjected to difference to obtain N first difference values, and absolute value operation is carried out on each first difference value to obtain N second difference values;
judging whether each second difference value is larger than a preset first threshold value or not, and determining two audio sampling points corresponding to the second difference values larger than the first threshold value as suspected mutation positions;
respectively performing absolute value operation on M1 continuous audio sampling points before the suspected mutation position, and performing average value operation on M1 continuous audio sampling points after absolute value operation to obtain a first average value, wherein M1 is a positive integer and is less than N;
respectively performing absolute value operation on the M2 continuous audio sampling points behind the suspected mutation position, and performing average value operation on the M2 continuous audio sampling points after the absolute value operation is completed to obtain a second average value, wherein M2 is a positive integer and is less than N;
judging whether a preset second threshold value is not smaller than the first average value and smaller than the second average value;
if the abrupt change position exists, performing smooth filtering processing on the audio sampling signal to eliminate the abrupt change position comprises:
and if the second threshold value is not smaller than the first average value and smaller than the second average value, determining the suspected sudden change position as a first sudden change position when the silent audio sampling point is converted into a non-silent audio sampling point, and performing smooth filtering processing on the audio sampling signal to eliminate the first sudden change position.
2. The method of claim 1, further comprising, after obtaining the second average value:
judging whether a preset second threshold value is smaller than the first average value and not smaller than the second average value;
if the abrupt change position exists, performing smooth filtering processing on the audio sampling signal to eliminate the abrupt change position further comprises:
and if the second threshold value is smaller than the first average value and not smaller than the second average value, determining the suspected sudden change position as a second sudden change position when the non-silent audio sampling point is converted into the silent audio sampling point, and performing smooth filtering processing on the audio sampling signal to eliminate the second sudden change position.
3. A method of canceling noise, comprising:
acquiring an audio sampling signal, wherein the audio sampling signal comprises N +1 continuous audio sampling points, and N is a positive integer;
analyzing the difference value of adjacent audio sampling points in the audio sampling signal, and judging whether the audio sampling point signal has a sudden change position when switching between a non-silent audio sampling point and a silent audio sampling point;
if the abrupt change position exists, performing smooth filtering processing on the audio sampling signal to eliminate the abrupt change position;
the analyzing the difference value of adjacent audio sampling points in the audio sampling signal and judging whether the abrupt change position of the audio sampling point signal when the non-mute audio sampling point and the mute audio sampling point are switched comprises the following steps:
in the audio sampling signals, every two adjacent audio sampling points are subjected to difference to obtain N first difference values, and absolute value operation is carried out on each first difference value to obtain N second difference values;
judging whether each second difference value is larger than a preset first threshold value or not, and determining two audio sampling points corresponding to the second difference values larger than the first threshold value as suspected mutation positions;
respectively performing absolute value operation on M1 continuous audio sampling points before the suspected mutation position, and performing average value operation on M1 continuous audio sampling points after absolute value operation to obtain a first average value, wherein M1 is a positive integer and is less than N;
respectively performing absolute value operation on the M2 continuous audio sampling points behind the suspected mutation position, and performing average value operation on the M2 continuous audio sampling points after the absolute value operation is completed to obtain a second average value, wherein M2 is a positive integer and is less than N;
judging whether a preset second threshold value is smaller than the first average value and not smaller than the second average value;
if the abrupt change position exists, performing smooth filtering processing on the audio sampling signal to eliminate the abrupt change position comprises:
and if the second threshold value is smaller than the first average value and not smaller than the second average value, determining the suspected sudden change position as a second sudden change position when the non-silent audio sampling point is converted into the silent audio sampling point, and performing smooth filtering processing on the audio sampling signal to eliminate the second sudden change position.
4. An apparatus for canceling noise, comprising:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring an audio sampling signal, the audio sampling signal comprises N +1 continuous audio sampling points, and N is a positive integer;
the first judgment unit is used for analyzing the difference value of adjacent audio sampling points in the audio sampling signal and judging whether the audio sampling point signal has a sudden change position when the non-silent audio sampling point and the silent audio sampling point are switched;
the filtering processing unit is used for performing smooth filtering processing on the audio sampling signal to eliminate the abrupt change position when the abrupt change position exists;
the first judgment unit includes:
the first calculating subunit is configured to perform difference on every two adjacent audio sampling points in the audio sampling signal to obtain N first difference values, and perform absolute value calculation on each first difference value to obtain N second difference values;
the first judgment subunit is configured to judge whether each second difference value is greater than a preset first threshold, and determine that two audio sampling points corresponding to the second difference value that is greater than the first threshold are suspected mutation positions;
the second calculation subunit is configured to perform absolute value calculation on M1 consecutive audio sampling points before the suspected mutation position, and perform average value calculation on M1 consecutive audio sampling points after the absolute value calculation is performed, so as to obtain a first average value, where M1 is a positive integer and is less than N;
the third calculation subunit is used for respectively carrying out absolute value operation on the M2 continuous audio sampling points after the suspected mutation position, and carrying out average value operation on the M2 continuous audio sampling points after the absolute value operation is finished to obtain a second average value, wherein M2 is a positive integer and is less than N;
a second judging subunit, configured to judge whether a preset second threshold is not smaller than the first average value and smaller than the second average value;
the filtering processing unit includes:
and the first filtering processing subunit is configured to determine that the suspected sudden change position is a first sudden change position when the silent audio sampling point is converted into a non-silent audio sampling point if a second threshold value is not smaller than the first average value and is smaller than the second average value, and perform smooth filtering processing on the audio sampling signal to eliminate the first sudden change position.
5. The apparatus according to claim 4, wherein the first determining unit further comprises:
a third judging subunit, configured to judge whether a preset second threshold is smaller than the first average value and not smaller than the second average value;
the filtering processing unit further includes:
and the second filtering processing subunit is configured to determine, if the second threshold is smaller than the first average value and not smaller than the second average value, that the suspected sudden change position is a second sudden change position when the non-silent audio sampling point is converted into a silent audio sampling point, and perform smooth filtering processing on the audio sampling signal to eliminate the second sudden change position.
6. An apparatus for canceling noise, comprising:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring an audio sampling signal, the audio sampling signal comprises N +1 continuous audio sampling points, and N is a positive integer;
the first judgment unit is used for analyzing the difference value of adjacent audio sampling points in the audio sampling signal and judging whether the audio sampling point signal has a sudden change position when the non-silent audio sampling point and the silent audio sampling point are switched;
the filtering processing unit is used for performing smooth filtering processing on the audio sampling signal to eliminate the abrupt change position when the abrupt change position exists;
the first judgment unit includes:
the first calculating subunit is configured to perform difference on every two adjacent audio sampling points in the audio sampling signal to obtain N first difference values, and perform absolute value calculation on each first difference value to obtain N second difference values;
the first judgment subunit is configured to judge whether each second difference value is greater than a preset first threshold, and determine that two audio sampling points corresponding to the second difference value that is greater than the first threshold are suspected mutation positions;
the second calculation subunit is configured to perform absolute value calculation on M1 consecutive audio sampling points before the suspected mutation position, and perform average value calculation on M1 consecutive audio sampling points after the absolute value calculation is performed, so as to obtain a first average value, where M1 is a positive integer and is less than N;
the third calculation subunit is used for respectively carrying out absolute value operation on the M2 continuous audio sampling points after the suspected mutation position, and carrying out average value operation on the M2 continuous audio sampling points after the absolute value operation is finished to obtain a second average value, wherein M2 is a positive integer and is less than N;
a third judging subunit, configured to judge whether a preset second threshold is smaller than the first average value and not smaller than the second average value;
the filtering processing unit includes:
and the second filtering processing subunit is configured to determine, if the second threshold is smaller than the first average value and not smaller than the second average value, that the suspected sudden change position is a second sudden change position when the non-silent audio sampling point is converted into a silent audio sampling point, and perform smooth filtering processing on the audio sampling signal to eliminate the second sudden change position.
7. An electronic device, comprising: the apparatus of claim 4 or 5.
8. An electronic device, comprising: the apparatus of claim 6.
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| CN110432885A (en) * | 2019-09-11 | 2019-11-12 | 东北大学 | A kind of photoplethysmographic noise remove method |
| CN111048103A (en) * | 2019-11-22 | 2020-04-21 | 湖南泊湾科技有限公司 | Method for processing plosive of audio data of player |
| CN114339546A (en) * | 2021-12-31 | 2022-04-12 | 科大讯飞(苏州)科技有限公司 | Vehicle sound playing method and device, storage medium and equipment |
| CN116665685B (en) * | 2023-07-31 | 2023-10-20 | 深圳爱图仕创新科技股份有限公司 | Audio signal filtering method and device, computer equipment and storage medium |
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