CN109272996A - A kind of noise-reduction method and system - Google Patents
A kind of noise-reduction method and system Download PDFInfo
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- CN109272996A CN109272996A CN201811332084.3A CN201811332084A CN109272996A CN 109272996 A CN109272996 A CN 109272996A CN 201811332084 A CN201811332084 A CN 201811332084A CN 109272996 A CN109272996 A CN 109272996A
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- 230000015572 biosynthetic process Effects 0.000 claims abstract description 23
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- G—PHYSICS
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- 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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- G10L15/00—Speech recognition
- G10L15/20—Speech recognition techniques specially adapted for robustness in adverse environments, e.g. in noise, of stress induced speech
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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
- G10L21/0272—Voice signal separating
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Abstract
The present invention provides a kind of noise-reduction method and system, method includes: to receive the client number signal and a de-noising signal that the first client communication module is sent based on cloud communication module；The client number signal is received based on matching module, is directed toward corresponding vocal print feature library in the reservoir of cloud；The vocal print feature library that the matching module is directed toward is read based on processor module, reconstructs vocal print filter；A de-noising signal is received based on the vocal print filter and exports secondary de-noising signal to synthesis module；The synthesis module receives the secondary de-noising signal and a de-noising signal, and export three times de-noising signal to the cloud communication module；The de-noising signal three times is sent to the second client communication module based on the cloud communication module.Noise-reduction method provided by the invention and system carry out third party's voice by sound groove recognition technology in e and filter out, using the noise-reduction method and system available high quality, fine definition, low noise communication signal.
Description
Technical field
The present invention relates to a kind of acoustic processing fields, and in particular to arrives a kind of noise-reduction method and system.
Background technique
In speech communication field, the target that existing noise reduction technology mainly filters out is the background sound in call sound, for
The voice of some non-user can not be filtered out well, between user speaks in breath, if equally had apart from equipment
Closer people speaks, and the third party's voice that will lead to other than communication two party enters in communication speech, influences speech quality, no
Conducive to information privacy and information interchange.
Summary of the invention
In order to overcome the defect of existing noise reduction technology, the present invention provides a kind of noise-reduction method and systems, are known by vocal print
Other technology carries out filtering out for third party's voice, uses the noise-reduction method and the available high quality of system, fine definition, low noise
Communication signal.
Correspondingly, the present invention provides a kind of noise-reduction methods, comprising the following steps:
The client number signal and a noise reduction that the first client communication module is sent are received based on cloud communication module
Signal；
The client number signal is received based on matching module, is directed toward corresponding vocal print feature library in the reservoir of cloud；
The vocal print feature library that the matching module is directed toward is read based on processor module, reconstructs vocal print filter；
A de-noising signal is received based on the vocal print filter and exports secondary de-noising signal to synthesis module；
The synthesis module receives the secondary de-noising signal and a de-noising signal, and export three times de-noising signal to institute
State cloud communication module；
The de-noising signal three times is sent to the second client communication module based on the cloud communication module.
De-noising signal is generated by following steps:
A de-noising processor based on the first client receives the main signal that the first client main microphon obtains and the
The sub signal that one client secondary microphone obtains, exports a de-noising signal to the first client communication module.
The client number signal and the first client communication module hardware code are bound；
Or the client number signal and the login account of first client are bound.
The vocal print feature library is based on the client number signal and carries out subregion, includes corresponding in each vocal print feature library
In the commonly used word vocal print of the client number signal, high frequency time vocal print and training vocal print.
The commonly used word vocal print is the user of corresponding client number signal based on normal in " general specification Chinese character table "
The vocal print extracted in advance with word.
The high frequency time vocal print is that the frequency occurs in the multiple de-noising signals of statistics to be higher than a certain given threshold
Vocal print.
The trained vocal print is the vocal print obtained based on commonly used word vocal print training.
It is described that the de-noising signal is received based on the vocal print filter and exports secondary de-noising signal to synthesizing mould
Block includes the following steps；
Traversal matching is carried out to a de-noising signal based on the commonly used word vocal print, high frequency time vocal print, training vocal print,
The secondary de-noising signal for corresponding to a de-noising signal time shaft is generated according to matching result, the secondary de-noising signal exists
Time point value when the mating structure is matching is 1, remaining time point value is 0；
The secondary de-noising signal is sent to synthesis module.
The synthesis module receives the secondary de-noising signal and a de-noising signal, and export three times de-noising signal to institute
State cloud communication module the following steps are included:
Composite selector based on the synthesis module with time sequencing read the de-noising signal and with it is corresponding when
Between secondary de-noising signal alternatively standard is selected；
According to time shaft sequence, when secondary de-noising signal value is 1, composite selector is primary to the output of the first multiplier
De-noising signal exports 0 signal to the second multiplier；When second of de-noising signal value is 0, the first multiplier output 0, second
Multiplier exports a de-noising signal.
Synthesis adder based on the synthesis module folds the output signal of the first multiplier and the second multiplier
Add, obtain de-noising signal three times and is sent to the cloud communication module.
Correspondingly, the present invention provides a kind of noise reduction system, for realizing noise-reduction method described in any of the above item.
The present invention provides a kind of microphone denoising method and system, by Application on Voiceprint Recognition comparison technology, to noise reduction
De-noising signal carries out secondary noise reduction and three times noise reduction, makes the sound for only retaining specific user in the noise reduction three times ultimately generated
Message breath, while filtering environmental noise, can also filter out the acoustic impacts in addition to user, generate use high-definition
Person's voice signal has good practicability in specific implementation.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 shows the noise-reduction method flow chart of the embodiment of the present invention；
Fig. 2 shows the noise reduction system structural schematic diagrams of the embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other
Embodiment shall fall within the protection scope of the present invention.
Fig. 1 shows the noise-reduction method flow chart of the embodiment of the present invention.The embodiment of the invention provides a kind of noise-reduction method,
It is mainly used for noise reduction field of conversing, the voice signal of the first client is sent to the second client after cloud server,
In, a noise reduction is carried out to voice signal in the first client, server carries out secondary noise reduction and three times noise reduction beyond the clouds, so
After generate final de-noising signal to the second client, specifically, noise-reduction method provided in an embodiment of the present invention the following steps are included:
S101: based on cloud communication module receive the first client communication module send client number signal and once
De-noising signal；
Wherein, a de-noising signal is generated in the first client, is mainly used for preliminary wiping out background sound, reduces back
Influence of the scape sound to voice signal.Specifically, being typically based on, main microphon and secondary microphone realization are set in the first client
The generation of de-noising signal.
In general, main microphon and secondary microphone maintain a certain distance each other, and isolation is kept in the circuit board.Phase
For the sounding distance with user, the distance difference of main microphon and secondary microphone is larger, and voice loudness of a sound difference is larger；Relatively
In the sounding distance with ambient noise, main microphon and secondary microphone distance differ smaller, and background sound sound intensity difference is smaller；Cause
This, although including voice and background sound in the acoustic information that main microphon obtains, secondary microphone equally includes voice and background
Sound, but the voice sound intensity of main microphon and secondary microphone difference is larger, the background sound sound intensity is smaller, after being offset by superposition, sound
It differs lesser background sound by force to cancel out each other, the sound intensity is close to 0；The sound intensity differs biggish voice after superposition, and the sound intensity can generate
Certain decaying, but also maintain more apparent sound characteristic.
Specifically, assume that the first client is equipped with the identical capacitive main microphon of two performances and secondary microphone,
Middle main microphon is often mounted in the front of the first client, close to the mouth of user；Secondary microphone is often mounted on the first visitor
The back side at family end, and far from main microphon, two microphones have mainboard isolation inside the first client.
When normal voice is conversed, user's mouth generates biggish main signal Va close to main microphon；At the same time, secondary
Microphone receives the sound of surrounding, generates sub signal Vb；Main signal Va and sub signal Vb is inputted a de-noising processor to carry out
Processing, generates superposed signal, i.e. a de-noising signal V after two paths of signals is subtracted each othert=Va-Vb；Due to voice meeting in superposition
There is certain decaying, certain multiple can be amplified to a de-noising signal.Specifically, a de-noising processor is that a difference is put
Big device.
After de-noising signal generation, output to the first client communication module is sent.In order to identify user's
Identity, the synchronous client for also corresponding to user's identity sent are numbered.Specifically, the client number signal pin pair
It is uniquely determined in different users；The client number signal is tied up with the first client communication module hardware code
The fixed or described client number signal and the login account of first client are bound.
Correspondingly, the signal that the cloud communication module of cloud server receives includes client number signal and primary drop
Noise cancellation signal.
S102: the client number signal is received based on the matching module, is directed toward corresponding sound in the reservoir of cloud
Line feature database；
It include the voiceprint of the multiple words or word corresponding to user in vocal print feature library, which can be used for
Identify the sound of corresponding user, so as to judge the sound of user from one section of voice including more voice sounds, from
And it is identified.
In order to improve the accuracy of identification in vocal print feature library, the vocal print feature library of the embodiment of the present invention include commonly used word vocal print,
High frequency time vocal print and training vocal print.
Wherein, commonly used word vocal print is that user normally reads aloud vocal print caused by commonly used word, quantity and common number of words
It is associated.Specifically, commonly used word can be drawn a circle to approve according to the commonly used word in " general specification Chinese character table ", user needs to pre-record institute
The voice for the commonly used word stated, and form corresponding commonly used word vocal print.
High frequency time vocal print refers to the vocal print for being but not belonging to commonly used word vocal print that user often issues in communication process,
It is possible that including gas sound, rarely used word, industry proper noun etc..Specifically, high frequency time vocal print is by multiple cloud server to one
During secondary de-noising signal processing, the same number of the vocal print captured is related.Specifically, being carried out to a de-noising signal
When processing, other than commonly used word vocal print, remaining sound is split according to certain segmentation rule, is formed unknown vocal print and is stored up
It deposits；The unknown vocal print of storage has an attribute value about the frequency；In the multiple treatment process to a de-noising signal
In, unknown vocal print may exist identical, and identical unknown vocal print is recorded based on the frequency attribute of unknown vocal print.When not
When knowing that the frequency attribute of vocal print is more than a preset threshold, it is believed that the unknown vocal print is high frequency time vocal print, belongs to corresponding user
Special vocal print.
Training vocal print, refers to the vocal print derived based on the commonly used word vocal print.Each user has corresponding
Vocal print feature, by extract user's vocal print vocal print feature, i.e., user can be characterized by extracting from user's voice
Certain organs structure or the characteristic parameter of acquired behavior are, it can be achieved that identification to user's sound.Specifically, the master of characteristic parameter
It to include voice spectrum parameters, linear forecasting parameter, wavelet character parameter.
Wherein, voice spectrum parameters are mainly used for providing the phonatory organ feature of user, such as pass through glottis, sound channel, nose
The special constructions such as chamber two extract the spectrum signature in short-term of user's voice, i.e. fundamental frequency spectrum and its profile, it is that characterization uses
The driving source of person's sound and the inherent feature of sound channel, can reflect the difference of user's voice organ；And short-time spectrum at any time or
The feature of amplitude variation reflects the pronunciation habit of speaker to a certain extent.Therefore, voice spectrum parameters are in Application on Voiceprint Recognition
In application be mainly reflected in fundamental tone frequency spectrum and its profile, the energy of fundamental tone frame, the frequency of occurrences of fundamental tone formant and its track
Parameter characterization and pattern-recognition.
Wherein, linear forecasting parameter is primarily referred to as several exemplary voice sampling or is worked as with existing mathematical model to approach
Preceding voice sampling, the phonetic feature estimated with corresponding approximating parameter.It can be realized with a small amount of effective earth's surface of parameter
The waveform and spectral characteristic of existing voice have the characteristics that computational efficiency is high, flexible in application.It is common linear in Application on Voiceprint Recognition at present
Prediction Parameters extracting method specifically includes that linear prediction cepstrum coefficient LPCC, line spectrum pair LSP, auto-correlation and log-area ratio, Mel frequency
Rate cepstrum MFCC, perception linear prediction PLP.
Wherein, wavelet character parameter is to be analyzed and processed using wavelet transformation technique to voice signal, to be indicated
The wavelet coefficient of phonetic feature, wavelet transformation have many advantages, such as resolution changable, characterize without stationarity requirement and time-frequency domain compatibility,
The individual information of user can effectively be characterized.Auditory Perception system is simulated using wavelet transformation, to voice signal
Denoising carries out clear, voiced sound judgement.It, can be in the case where the framing of very little be long to voice signal because of the local character of wavelet transformation
Spectral resolution still with higher,.By being introduced into wavelet transformation technique in MFCC characteristic parameter, can be improved to auxiliary
The recognition effect in sound area.
In addition, when if correlation is little between it, it is anti-to illustrate that they distinguish for the characteristic parameter that extracts of distinct methods
The different characteristic of voice signal is reflected, accordingly it is also possible to be more suitable for mould by the combination technique of different characteristic parameter to obtain
The speech characteristic parameter model of formula match cognization judgement.
Based on independent characteristic parameter or speech characteristic parameter model, then according to commonly used word vocal print, derives to be formed and commonly use
The training vocal print that word vocal print, non-commonly used word vocal print etc. are not belonging to commonly used word vocal print is stored, to expand vocal print feature library
In vocal print amount, be conducive to vocal print feature library in screening, retain more user's voice features, improve screening precision.
S103: the vocal print feature library that the matching module is directed toward is read based on processor module, reconstructs vocal print filter；
Processor module reads matching module, and since matching module is directed toward vocal print feature library, processor module is practical to be read
It is the vocal print feature library of the client number signal corresponding to the first client；Vocal print mistake is reconstructed by reading vocal print feature library
Commonly used word vocal print, high frequency time vocal print and training vocal print in vocal print filter is really changed to and is corresponded in user by filter
The first client client number signal vocal print.
S104: receiving the de-noising signal based on the vocal print filter and exports secondary de-noising signal to synthesizing mould
Block；
Specifically, vocal print filter is really upper commonly used word vocal print, high frequency time vocal print and the training passed through using user
Vocal print carries out traversal comparison to a de-noising signal, and the voice for then filtering out user issues the time.
Specifically, by way of traversal, by commonly used word vocal print, high frequency time vocal print and the training vocal print in vocal print filter
It is successively retrieved in a de-noising signal, records the time-domain position in a de-noising signal when generating matching；It has traversed
Cheng Hou, constructs a time shaft corresponding with a de-noising signal, generates the matched period on time shaft and is identified with signal 1,
Matched signal segment is not generated with the mark of signal 0.
Secondary de-noising signal is substantially one for identifying the time shaft of user's voice time of origin.
It,, can be directly to knowledge when the screening of voice is accurate enough when the capacity in vocal print feature library is sufficiently large in specific implementation
It Wei not be exported after the period progress amplitude amplification of voice, without being exported again after being synthesized with a de-noising signal,
To save the time.But in order to avoid omitting some important acoustic informations, the embodiment of the present invention is by secondary de-noising signal to voice
Time is identified, and is handled using the mark a de-noising signal, to retain more acoustic informations, makes most throughout one's life
At de-noising signal three times it is more coherent and clear.
S105: the synthesis module receives the secondary de-noising signal and a de-noising signal, and exports noise reduction three times and believe
Number to the cloud communication module；
Specifically, synthesis module according to secondary de-noising signal, i.e. time shaft handles a de-noising signal.Specifically
, in a de-noising signal, including time t and amplitude UtTwo parameters, due to for means of chaotic signals, time t and amplitude UtIt
Between not certain correlativity.
When generating de-noising signal three times, the time point t for being 1 in secondary de-noising signal value1, following formula pair can be based on
The amplitude U of the pointt1It is handled: t in de-noising signal three times1The amplitude U of pointt1’=k Ut1；It is 0 in secondary de-noising signal value
Time point t2, can be based on following formula to the amplitude U of the pointt2It is handled: t in de-noising signal three times2The amplitude U of pointt2’=
Ut2/k。
Specifically, including composite selector, the first multiplier, the second multiplier and synthesis adder in synthesis module；It closes
The input of a de-noising signal is used at selector input terminal, output end to be connect with the first multiplier and the second multiplier respectively；
The input terminal of synthesis adder is connect with the output end of the first multiplier and the second multiplier respectively, and output end communicates mould with cloud
Block connection.
The selection criteria of composite selector is changed based on the value dynamic of secondary de-noising signal, and the first multiplier and second multiplies
Musical instruments used in a Buddhist or Taoist mass executes U respectivelyt1’=k Ut1And Ut2’=Ut2/ k is calculated；Synthesize adder will be through the first multiplier and the second multiplier at
The sound of reason is synthesized.
In specific implementation, which with time sequencing reads a de-noising signal and with the two of the corresponding time
Alternatively standard is selected secondary de-noising signal；Show one when secondary de-noising signal value is 1 according to time shaft sequence
The sound of the time is voice in secondary de-noising signal, and composite selector exports a de-noising signal to the first multiplier, to second
Multiplier exports 0 signal；When second of de-noising signal value is 0, show that the sound of the time in a de-noising signal is non-
Voice, the first multiplier output 0, the second multiplier exports a de-noising signal.
Since the first multiplier and the second multiplier execute U respectivelyt1’=k Ut1And Ut2’=Ut2/ k is calculated, i.e., first multiplies
The voice of musical instruments used in a Buddhist or Taoist mass is amplification, and the voice of the second multiplier is decaying, which is conducive to amplify voice and reduce background to make an uproar
The influence of sound；Simultaneously as the first multiplier and the second multiplier have same time shaft, therefore, by synthesizing adder
Directly the output signal of the first multiplier and the second multiplier is overlapped, de-noising signal three times can be obtained.
S106: the de-noising signal three times is sent to the second client communication module based on the cloud communication module.
Cloud communication module will be sent to the second client by de-noising signal three times, after the second client receives noise reduction three times
Clearly noise-reduced speech signal.
Correspondingly, the embodiment of the invention also provides a kind of noise reduction system, including the first client, cloud server and
Two clients.
Wherein, the first client includes main microphon, secondary microphone, a de-noising processor, the first client communication mould
Block；Two input terminals of de-noising processor are connect with main microphon and secondary microphone respectively, output end and the first client
Communication module connection.
Cloud server include cloud communication module, matching module, vocal print feature library, processor module, vocal print filter,
Composite selector, the first multiplier, the second multiplier, synthesis adder.The input terminal of cloud communication module and the first client
Communication module connection, output end are connect with matching module, vocal print filter and composite selector respectively；Matching module is directed toward vocal print
A certain position in feature database simultaneously read corresponding vocal print feature；Processor module connects with matching module harmony schlieren filter device respectively
It connects；Composite selector is controlled by vocal print filter, and output end is connect with the first multiplier and the second multiplier respectively；Synthesize addition
The input terminal of device is connect with the output end of the first multiplier and the second multiplier respectively, and output end is connect with cloud communication module.
Second client includes the second client communication module, and the second client communication module is communicated with the cloud
Module connection.
The embodiment of the invention provides a kind of microphone denoising method and system, by Application on Voiceprint Recognition comparison technology, to
De-noising signal of noise reduction carries out secondary noise reduction and three times noise reduction, makes only to retain specific use in the noise reduction three times ultimately generated
The acoustic information of person can also filter out the acoustic impacts in addition to user while filtering environmental noise, generate fine definition
User's voice signal, in specific implementation have good practicability.
It is provided for the embodiments of the invention one kind gram wind noise-reduction method above and system is described in detail, herein
Apply that a specific example illustrates the principle and implementation of the invention, the explanation of above example is only intended to help
Understand method and its core concept of the invention；At the same time, for those skilled in the art, according to the thought of the present invention,
There will be changes in the specific implementation manner and application range, in conclusion the content of the present specification should not be construed as to this
The limitation of invention.
Claims (10)
1. a kind of noise-reduction method, which comprises the following steps:
The client number signal and a de-noising signal that the first client communication module is sent are received based on cloud communication module；
The client number signal is received based on matching module, is directed toward corresponding vocal print feature library in the reservoir of cloud；
The vocal print feature library that the matching module is directed toward is read based on processor module, reconstructs vocal print filter；
A de-noising signal is received based on the vocal print filter and exports secondary de-noising signal to synthesis module；
The synthesis module receives the secondary de-noising signal and a de-noising signal, and export three times de-noising signal to the cloud
Hold communication module；
The de-noising signal three times is sent to the second client communication module based on the cloud communication module.
2. noise-reduction method as described in claim 1, which is characterized in that a de-noising signal is generated by following steps:
A de-noising processor based on the first client receives the main signal that the first client main microphon obtains and the first visitor
The sub signal that family end secondary microphone obtains, exports a de-noising signal to the first client communication module.
3. noise-reduction method as described in claim 1, which is characterized in that the client number signal and first client
The binding of communication module hardware code；
Or the client number signal and the login account of first client are bound.
4. noise-reduction method as described in claim 1, which is characterized in that the vocal print feature library is based on client number letter
Number subregion is carried out, includes commonly used word vocal print, high frequency infrasonic sound corresponding to the client number signal in each vocal print feature library
Line and training vocal print.
5. noise-reduction method as claimed in claim 4, which is characterized in that the commonly used word vocal print is corresponding client number signal
User be based on the vocal print that extracts in advance of commonly used word in " general specification Chinese character table ".
6. noise-reduction method as claimed in claim 4, which is characterized in that the high frequency time vocal print is to count multiple primary drops
The vocal print that the frequency is higher than a certain given threshold occurs in noise cancellation signal.
7. noise-reduction method as claimed in claim 4, which is characterized in that the trained vocal print is to be instructed based on the commonly used word vocal print
The vocal print got out.
8. noise-reduction method as claimed in claim 4, which is characterized in that described described primary based on vocal print filter reception
De-noising signal simultaneously exports secondary de-noising signal to synthesis module and includes the following steps；
Traversal matching is carried out to a de-noising signal based on the commonly used word vocal print, high frequency time vocal print, training vocal print, according to
Matching result generates the secondary de-noising signal for corresponding to a de-noising signal time shaft, and the secondary de-noising signal is described
Time point value when mating structure is matching is 1, remaining time point value is 0；
The secondary de-noising signal is sent to synthesis module.
9. noise-reduction method as claimed in claim 8, which is characterized in that the synthesis module receive the secondary de-noising signal and
De-noising signal, and export three times de-noising signal to the cloud communication module the following steps are included:
Composite selector based on the synthesis module with time sequencing read a de-noising signal and with the corresponding time
Alternatively standard is selected secondary de-noising signal；
According to time shaft sequence, when secondary de-noising signal value is 1, composite selector exports a noise reduction to the first multiplier
Signal exports 0 signal to the second multiplier；When second of de-noising signal value is 0, the first multiplier output 0, the second multiplication
Device exports a de-noising signal.
Synthesis adder based on the synthesis module is overlapped the output signal of the first multiplier and the second multiplier, obtains
To de-noising signal three times and it is sent to the cloud communication module.
10. a kind of noise reduction system, which is characterized in that for realizing the described in any item noise-reduction methods of claim 1 to 9.
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