CN110473563A - Breathing detection method, system, equipment and medium based on time-frequency characteristics - Google Patents
Breathing detection method, system, equipment and medium based on time-frequency characteristics Download PDFInfo
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- 230000029058 respiratory gaseous exchange Effects 0.000 title claims abstract description 74
- 238000001514 detection method Methods 0.000 title claims abstract description 28
- 238000000034 method Methods 0.000 claims abstract description 42
- 238000012545 processing Methods 0.000 claims abstract description 14
- 239000000284 extract Substances 0.000 claims abstract description 8
- 238000000605 extraction Methods 0.000 claims abstract description 7
- 238000005070 sampling Methods 0.000 claims description 7
- 230000006399 behavior Effects 0.000 claims 1
- 230000000694 effects Effects 0.000 abstract description 2
- 230000006854 communication Effects 0.000 description 9
- 230000008569 process Effects 0.000 description 9
- 238000004891 communication Methods 0.000 description 8
- 208000037656 Respiratory Sounds Diseases 0.000 description 6
- 230000006870 function Effects 0.000 description 5
- 230000005540 biological transmission Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000030808 detection of mechanical stimulus involved in sensory perception of sound Effects 0.000 description 1
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- 238000010586 diagram Methods 0.000 description 1
- 238000009432 framing Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000002401 inhibitory effect Effects 0.000 description 1
- 230000005764 inhibitory process Effects 0.000 description 1
- 230000008518 non respiratory effect Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 239000004984 smart glass Substances 0.000 description 1
- 230000005236 sound signal Effects 0.000 description 1
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Speech or voice signal processing techniques 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
- G10L21/0208—Noise filtering
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Speech or voice signal processing techniques 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
- G10L21/0208—Noise filtering
- G10L21/0216—Noise filtering characterised by the method used for estimating noise
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; 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
- G10L25/03—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; 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
- G10L25/45—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of analysis window
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Speech or voice signal processing techniques 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
- G10L21/0208—Noise filtering
- G10L2021/02087—Noise filtering the noise being separate speech, e.g. cocktail party
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- Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Quality & Reliability (AREA)
- Telephone Function (AREA)
Abstract
The present disclosure discloses breathing detection method, system, equipment and media based on time-frequency characteristics, comprising: obtains voice signal to be detected；The voice signal to be detected is to be issued by the staff on high-level aircraft that flies, and be transferred to the voice signal of ground receiver person；Adding window sub-frame processing is carried out to voice signal to be detected, obtains several frame voice signals；Feature extraction is carried out to each frame voice signal, extracts short-time zero-crossing rate, low-and high-frequency short-time energy ratio and Low Medium Frequency short-time energy ratio；If the short-time zero-crossing rate of current frame speech signal is greater than the first given threshold, and low-and high-frequency short-time energy ratio is greater than the second given threshold；Then determine that current frame speech signal for breathing, is eliminated breathing.It closes using characteristic parameters such as short-time zero-crossing rate, short-time energy, low-and high-frequency short-time energy ratios, the breathing in voice is transmitted in detection, and post-processes to the breathing detected, improves auditory effect.
Description
Technical field
This disclosure relates to speech signal processing technology, more particularly to the breathing sound detection side based on time-frequency characteristics
Method, system, equipment and medium.
Background technique
The statement of this part is only to refer to background technique relevant to the disclosure, not necessarily constitutes the prior art.
With the fast development of the communication technology, the requirement of user session sound quality is higher and higher.In many special communications
Occasion, other than the voice of normal transmission, the often interference by some ambient noises or especial sound.For example, when flying
For office staff in high-altitude flight, atmospheric pressure will be higher by several times compared with ground standard atmospheric pressure, need when pilot is with ground communication
It is largely taken a breath, causing can be containing a large amount of stronger breathings, breathing meeting after encoding and decoding speech in voice signal
It listens to and feels excessively poor, and the hearing of ground reception staff can be caused to damage.
In implementing the present disclosure, following technical problem exists in the prior art in inventor:
It is not accurate enough to the detection of breathing, it is easy also to be erroneously detected out by the voice signal of non-respiratory sound, influences ground
Capture of the dough figurine person to voice signal；
It is complicated to the detection process of breathing, need to extract complicated signal characteristic, detection process wastes time, it is difficult to protect
The requirement of real-time that card ground communication person captures voice signal.
Summary of the invention
In order to solve the deficiencies in the prior art, present disclose provides based on time-frequency characteristics breathing detection method, system,
Equipment and medium；Comprehensively utilize the characteristic parameters such as short-time zero-crossing rate, short-time energy, low-and high-frequency short-time energy ratio, detection transmission language
Breathing in sound, and the breathing detected is post-processed, improve auditory effect.
In a first aspect, present disclose provides the breathing detection methods based on time-frequency characteristics；
Breathing detection method based on time-frequency characteristics, comprising:
Obtain voice signal to be detected；The voice signal to be detected is the work by flying on high-level aircraft
What personnel issued, and it is transferred to the voice signal of ground receiver person；
Adding window sub-frame processing is carried out to voice signal to be detected, obtains several frame voice signals；
Feature extraction is carried out to each frame voice signal, extracts short-time zero-crossing rate, low-and high-frequency short-time energy ratio and Low Medium Frequency
Short-time energy ratio；
If the short-time zero-crossing rate of current frame speech signal is greater than the first given threshold, and low-and high-frequency short-time energy ratio is greater than
Second given threshold；Then determine that current frame speech signal for breathing, is eliminated breathing.
As one or more embodiments, the method, further includes:
If the short-time zero-crossing rate of current frame speech signal is less than the first given threshold, and Low Medium Frequency short-time energy ratio is less than
Third given threshold；Then determine that current frame speech signal for breathing, is eliminated breathing.
Second aspect, the disclosure additionally provide the breathing detection system based on time-frequency characteristics；
Breathing detection system based on time-frequency characteristics, comprising:
Module is obtained, is configured as obtaining voice signal to be detected；The voice signal to be detected is by flying
What the staff on high-level aircraft issued, and it is transferred to the voice signal of ground receiver person；
Sub-frame processing module is configured as carrying out adding window sub-frame processing to voice signal to be detected, obtains several frames
Voice signal；
Characteristic extracting module is configured as carrying out feature extraction to each frame voice signal, extracts short-time zero-crossing rate, height
Low frequency short-time energy ratio and Low Medium Frequency short-time energy ratio；
Breathing first detection module is set if the short-time zero-crossing rate for being configured as current frame speech signal is greater than first
Determine threshold value, and low-and high-frequency short-time energy ratio is greater than the second given threshold；Current frame speech signal is then determined for breathing, to breathing
Sound is eliminated.
As one or more embodiments, the system, further includes:
The second detection module of breathing, if the short-time zero-crossing rate for being configured as current frame speech signal is set less than first
Determine threshold value, and Low Medium Frequency short-time energy ratio is less than third given threshold；Current frame speech signal is then determined for breathing, to breathing
Sound is eliminated.
The third aspect, the disclosure additionally provide a kind of electronic equipment, including memory and processor and are stored in storage
The computer instruction run on device and on a processor when the computer instruction is run by processor, completes first aspect institute
The step of stating method.
Fourth aspect, the disclosure additionally provide a kind of computer readable storage medium, described for storing computer instruction
When computer instruction is executed by processor, complete first aspect the method the step of.
Compared with prior art, the beneficial effect of the disclosure is:
The disclosure comprehensively utilizes short-time zero-crossing rate between speech frame and speech frame with breathing, short-time energy, height
Low frequency short-time energy detects the breathing in voice, and handle breathing than the difference between equal characteristic parameters, from
And to the inhibitory effect of the speech frame with breathing.
Detailed description of the invention
The accompanying drawings constituting a part of this application is used to provide further understanding of the present application, and the application's shows
Meaning property embodiment and its explanation are not constituted an undue limitation on the present application for explaining the application.
Fig. 1 is the method flow diagram of one embodiment.
Specific embodiment
It is noted that described further below be all exemplary, it is intended to provide further instruction to the application.Unless another
It indicates, all technical and scientific terms used herein has usual with the application person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singular
Also it is intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet
Include " when, indicate existing characteristics, step, operation, device, component and/or their combination.
Embodiment one present embodiments provides the breathing detection method based on time-frequency characteristics；
As shown in Figure 1, the breathing detection method based on time-frequency characteristics, comprising:
Obtain voice signal to be detected；The voice signal to be detected is the work by flying on high-level aircraft
What personnel issued, and it is transferred to the voice signal of ground receiver person；
Adding window sub-frame processing is carried out to voice signal to be detected, obtains several frame voice signals；
Feature extraction is carried out to each frame voice signal, extracts short-time zero-crossing rate, low-and high-frequency short-time energy ratio and Low Medium Frequency
Short-time energy ratio；
If the short-time zero-crossing rate of current frame speech signal is greater than the first given threshold, and low-and high-frequency short-time energy ratio is greater than
Second given threshold；Then determine that current frame speech signal for breathing, is eliminated breathing.
As one or more embodiments, the method, further includes:
If the short-time zero-crossing rate of current frame speech signal is less than the first given threshold, and Low Medium Frequency short-time energy ratio is less than
Third given threshold；Then determine that current frame speech signal for breathing, is eliminated breathing.
As one or more embodiments, breathing eliminate using zero setting method or cuts down method.
As one or more embodiments, adding window sub-frame processing is carried out to voice signal to be detected, obtains several frame languages
Sound signal specifically includes:
By 8kHz frequency sampling, every 20ms, that is, 160 voice sampling points constitute a frame.
It is to be understood that zero setting method, which refers to, carries out zero-setting operation for present frame whole sampled point；
Breathing acoustic frame is subjected to zero setting, formula is as follows:
It is to be understood that the method for reduction, i.e., cut down present frame amplitude；
It is original 1/8 that the amplitude that each sampling point of acoustic frame will be breathed, which weakens, about 9dB, and formula is as follows:
Wherein, SinWith SoutThe energy of the speech frame of the speech frame and output that respectively input.
It is to be understood that short-time zero-crossing rate ZrcCalculating process are as follows:
Wherein, sgn [] is sign function, i.e.,
Wherein, i indicates the i-th frame.
It is to be understood that the calculating process of low-and high-frequency short-time energy ratio are as follows:
Wherein, low frequency short-time energy E0LFor,
Wherein, high frequency short-time energy EOHFor,
It is to be understood that Low Medium Frequency short-time energy ratio SEMLRCalculating process are as follows:
Wherein, intermediate frequency short-time energy E0MFor,
Low frequency short-time energy E0LFor,
Further, first given threshold are as follows: 60.
Further, second given threshold are as follows: 0.1.
Further, the third given threshold are as follows: 5.
Primarily directed in the voice communication under particular surroundings, the presence of breathing makes by voice the features of the present invention
Voice after encoding and decoding, which is listened to, feels excessively poor, can cause to damage to the hearing of ground reception staff.Therefore a kind of base is proposed
In the breathing detection algorithm of time-frequency characteristics, the features such as short-time zero-crossing rate, short-time energy, low-and high-frequency speech energy ratio are comprehensively utilized
Parameter, the breathing in voice is transmitted in detection, and post-processes to the breathing detected, to reduce breathing in voice
The discomfort generated in communication process to human body improves voice call quality.
It is experimentally confirmed, the mistake in short-term in one section of voice with breathing, between breathing and transmission voice
There are difference for zero rate, and at the same time, short-time energy is more more significant than the influence compared to short-time zero-crossing rate to breathing, in conjunction with mistake
Zero rate and short-time energy have better discrimination to normal voice and breathing than parameter.Accordingly, it is determined that short-time zero-crossing rate and
Short-time energy is than the characteristic parameter to differentiate breathing in speech frame.
Speech frame short-time zero-crossing rate Z after finding out framing firstrcEqual time domain parameters, and extract with breathing speech frame
The value of parameter；Short Time Fourier Transform (FFT) is carried out to voice signal sampling point later, the high, medium and low frequency for finding out voice signal is short
Shi Nengliang, and pass through low-and high-frequency short-time energy ratio SELHRWith Low Medium Frequency short-time energy ratio SEMLRPhonetic feature is showed, is mentioned
Take out the value of the parameter with breathing speech frame.
The present invention mainly comprehensively utilizes the characteristic parameters such as short-time zero-crossing rate, low-and high-frequency short-time energy ratio, determines voice
Frame and the speech frame for having breathing, and the speech frame with breathing parameter is inhibited.The present invention may be implemented to breathe
The detection of sound, and breathing inhibition is carried out to the speech frame of breathing, to reduce breathing in voice call process
To the discomfort that human body generates, purpose that is more comfortable, clearly conversing is realized.
Embodiment two, the present embodiment additionally provide the breathing detection system based on time-frequency characteristics；
Breathing detection system based on time-frequency characteristics, comprising:
Module is obtained, is configured as obtaining voice signal to be detected；The voice signal to be detected is by flying
What the staff on high-level aircraft issued, and it is transferred to the voice signal of ground receiver person；
Sub-frame processing module is configured as carrying out adding window sub-frame processing to voice signal to be detected, obtains several frames
Voice signal；
Characteristic extracting module is configured as carrying out feature extraction to each frame voice signal, extracts short-time zero-crossing rate, height
Low frequency short-time energy ratio and Low Medium Frequency short-time energy ratio；
Breathing first detection module is set if the short-time zero-crossing rate for being configured as current frame speech signal is greater than first
Determine threshold value, and low-and high-frequency short-time energy ratio is greater than the second given threshold；Current frame speech signal is then determined for breathing, to breathing
Sound is eliminated.
As one or more embodiments, the system, further includes:
The second detection module of breathing, if the short-time zero-crossing rate for being configured as current frame speech signal is set less than first
Determine threshold value, and Low Medium Frequency short-time energy ratio is less than third given threshold；Current frame speech signal is then determined for breathing, to breathing
Sound is eliminated.
The disclosure additionally provides a kind of electronic equipment, including memory and processor and storage on a memory and are being located
The computer instruction that runs on reason device, when the computer instruction is run by processor, each operation in Method Of Accomplishment, in order to
Succinctly, details are not described herein.
The electronic equipment can be mobile terminal and immobile terminal, and immobile terminal includes desktop computer, move
Dynamic terminal includes smart phone (Smart Phone, such as Android phone, IOS mobile phone), smart glasses, smart watches, intelligence
The mobile internet device that energy bracelet, tablet computer, laptop, personal digital assistant etc. can carry out wireless communication.
It should be understood that in the disclosure, which can be central processing unit CPU, which, which can be said to be, can be it
His general processor, digital signal processor DSP, application-specific integrated circuit ASIC, ready-made programmable gate array FPGA or other
Programmable logic device, discrete gate or transistor logic, discrete hardware components etc..General processor can be micro process
Device or the processor are also possible to any conventional processor etc..
The memory may include read-only memory and random access memory, and to processor provide instruction and data,
The a part of of memory can also include non-volatile RAM.For example, memory can be with the letter of storage device type
Breath.
During realization, each step of the above method can by the integrated logic circuit of the hardware in processor or
The instruction of software form is completed.The step of method in conjunction with disclosed in the disclosure, can be embodied directly in hardware processor and execute
At, or in processor hardware and software module combination execute completion.Software module can be located at random access memory, dodge
It deposits, this fields are mature deposits for read-only memory, programmable read only memory or electrically erasable programmable memory, register etc.
In storage media.The storage medium is located at memory, and processor reads the information in memory, completes the above method in conjunction with its hardware
The step of.To avoid repeating, it is not detailed herein.Those of ordinary skill in the art may be aware that in conjunction with institute herein
Each exemplary unit, that is, algorithm steps of disclosed embodiment description, can be hard with electronic hardware or computer software and electronics
The combination of part is realized.These functions are implemented in hardware or software actually, the specific application depending on technical solution
And design constraint.Professional technician can realize described function using distinct methods to each specific application
Can, but this realization is it is not considered that exceed scope of the present application.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided herein, it should be understood that disclosed systems, devices and methods, it can be with
It realizes in other way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only a kind of division of logic function, there may be another division manner in actual implementation, such as multiple units or group
Part can be combined or can be integrated into another system, or some features can be ignored or not executed.In addition, showing
The mutual coupling or direct-coupling or communication connection shown or discussed can be through some interfaces, device or unit
Indirect coupling or communication connection, can be electrically, mechanical or other forms.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in a computer readable storage medium.Based on this understanding, the technical solution of the application is substantially right in other words
The part of part or the technical solution that the prior art contributes can be embodied in the form of software products, the calculating
Machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be individual
Computer, server or network equipment etc.) execute each embodiment the method for the application all or part of the steps.And it is preceding
The storage medium stated includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory
The various media that can store program code such as (RAM, Random Access Memory), magnetic or disk.
The foregoing is merely preferred embodiment of the present application, are not intended to limit this application, for the skill of this field
For art personnel, various changes and changes are possible in this application.Within the spirit and principles of this application, made any to repair
Change, equivalent replacement, improvement etc., should be included within the scope of protection of this application.
Claims (10)
1. the breathing detection method based on time-frequency characteristics, characterized in that include:
Obtain voice signal to be detected；The voice signal to be detected is the staff by flying on high-level aircraft
It issues, and is transferred to the voice signal of ground receiver person；
Adding window sub-frame processing is carried out to voice signal to be detected, obtains several frame voice signals；
Feature extraction is carried out to each frame voice signal, extracts short-time zero-crossing rate, low-and high-frequency short-time energy ratio and Low Medium Frequency in short-term
Energy ratio；
If the short-time zero-crossing rate of current frame speech signal is greater than the first given threshold, and low-and high-frequency short-time energy ratio is greater than second
Given threshold；Then determine that current frame speech signal for breathing, is eliminated breathing.
2. the method as described in claim 1, characterized in that further include:
If the short-time zero-crossing rate of current frame speech signal is less than the first given threshold, and Low Medium Frequency short-time energy ratio is less than third
Given threshold；Then determine that current frame speech signal for breathing, is eliminated breathing.
3. the method as described in claim 1, characterized in that breathing eliminate using zero setting method or cuts down method.
4. the method as described in claim 1, characterized in that carry out adding window sub-frame processing to voice signal to be detected, obtain
Several frame voice signals, specifically include: by 8kHz frequency sampling, every 20ms, that is, 160 voice sampling points constitute a frame.
5. method as claimed in claim 3, characterized in that zero setting method, which refers to, carries out zero setting behaviour for present frame whole sampled point
Make.
6. method as claimed in claim 3, characterized in that cut down method, i.e., cut down present frame amplitude；Acoustic frame will be breathed
The amplitude of each sampling point to weaken be original 1/8, about 9dB.
7. the breathing detection system based on time-frequency characteristics, characterized in that include:
Module is obtained, is configured as obtaining voice signal to be detected；The voice signal to be detected is by flying in height
What the staff on empty aircraft issued, and it is transferred to the voice signal of ground receiver person；
Sub-frame processing module is configured as carrying out adding window sub-frame processing to voice signal to be detected, obtains several frame voices
Signal；
Characteristic extracting module is configured as carrying out feature extraction to each frame voice signal, extracts short-time zero-crossing rate, low-and high-frequency
Short-time energy ratio and Low Medium Frequency short-time energy ratio；
Breathing first detection module, if the short-time zero-crossing rate for being configured as current frame speech signal is greater than the first setting threshold
Value, and low-and high-frequency short-time energy ratio is greater than the second given threshold；Then determine current frame speech signal for breathing, to breathing into
Row is eliminated.
8. system as claimed in claim 7, characterized in that further include:
The second detection module of breathing, if being configured as the short-time zero-crossing rate of current frame speech signal less than the first setting threshold
Value, and Low Medium Frequency short-time energy ratio is less than third given threshold；Then determine current frame speech signal for breathing, to breathing into
Row is eliminated.
9. a kind of electronic equipment, the calculating run on a memory and on a processor including memory and processor and storage
Machine instruction when the computer instruction is run by processor, completes step described in any one of claim 1-6 method.
10. a kind of computer readable storage medium, for storing computer instruction, the computer instruction is executed by processor
When, complete step described in any one of claim 1-6 method.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111009263A (en) * | 2019-12-28 | 2020-04-14 | 哈尔滨工业大学 | System and method for identifying rales of lung |
| CN111564162A (en) * | 2020-03-27 | 2020-08-21 | 成都航天通信设备有限责任公司 | Effective breath sound removing method and system based on FPGA |
| CN112466328A (en) * | 2020-10-29 | 2021-03-09 | 北京百度网讯科技有限公司 | Breath sound detection method and device and electronic equipment |
| CN113542863A (en) * | 2020-04-14 | 2021-10-22 | 深圳Tcl数字技术有限公司 | Sound processing method, storage medium and smart television |
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| CN111564162A (en) * | 2020-03-27 | 2020-08-21 | 成都航天通信设备有限责任公司 | Effective breath sound removing method and system based on FPGA |
| CN113542863A (en) * | 2020-04-14 | 2021-10-22 | 深圳Tcl数字技术有限公司 | Sound processing method, storage medium and smart television |
| CN112466328A (en) * | 2020-10-29 | 2021-03-09 | 北京百度网讯科技有限公司 | Breath sound detection method and device and electronic equipment |
| CN112466328B (en) * | 2020-10-29 | 2023-10-24 | 北京百度网讯科技有限公司 | Breath sound detection method and device and electronic equipment |
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