CN108417223A - The method that modified tone voice is sent in social networks - Google Patents
The method that modified tone voice is sent in social networks Download PDFInfo
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- CN108417223A CN108417223A CN201711499368.7A CN201711499368A CN108417223A CN 108417223 A CN108417223 A CN 108417223A CN 201711499368 A CN201711499368 A CN 201711499368A CN 108417223 A CN108417223 A CN 108417223A
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- 238000000034 method Methods 0.000 title claims abstract description 37
- 230000008859 change Effects 0.000 claims abstract description 28
- 238000007781 pre-processing Methods 0.000 claims abstract description 11
- 230000001629 suppression Effects 0.000 claims abstract description 11
- 230000009471 action Effects 0.000 claims abstract description 5
- 230000002708 enhancing effect Effects 0.000 claims description 4
- 230000006835 compression Effects 0.000 claims description 3
- 238000007906 compression Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 description 5
- 238000012952 Resampling Methods 0.000 description 4
- 238000004590 computer program Methods 0.000 description 4
- 238000013528 artificial neural network Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 206010013952 Dysphonia Diseases 0.000 description 1
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- 208000030251 communication disease Diseases 0.000 description 1
- 230000008451 emotion Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 208000027498 hoarse voice Diseases 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000001568 sexual effect Effects 0.000 description 1
- 229910052709 silver Inorganic materials 0.000 description 1
- 239000004332 silver Substances 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
- G10L21/003—Changing voice quality, e.g. pitch or formants
- G10L21/007—Changing voice quality, e.g. pitch or formants characterised by the process used
- G10L21/013—Adapting to target pitch
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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
- G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
-
- 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
- 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
- G10L25/24—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters the extracted parameters being the cepstrum
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
-
- 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
- G10L21/003—Changing voice quality, e.g. pitch or formants
- G10L21/007—Changing voice quality, e.g. pitch or formants characterised by the process used
- G10L21/013—Adapting to target pitch
- G10L2021/0135—Voice conversion or morphing
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/07—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail characterised by the inclusion of specific contents
- H04L51/10—Multimedia information
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/52—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail for supporting social networking services
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- Audiology, Speech & Language Pathology (AREA)
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- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
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Abstract
The method that the present invention provides a kind of to send modified tone voice in social networks, the communication means include:Create modified tone speech model;Receive the voice that the first user sends to second user in social networks;Detect whether first user sends out the scheduled change acoustic model of trigger action selection to the voice progress change of voice, if, then carry out noise suppression preprocessing and equalization energy pretreatment successively to the voice, and will treated that the voice is input in the change acoustic model carries out modified tone processing, to generate modified tone voice;Modify tone voice described in server storage;The interface of listening to of the modified tone voice is presented in the user controllable computer graphical interface of second registration, and the identity information that user hides the first registration user is registered for described second.Usage experience of user during using social networks can be enhanced by the variation of voice by implementing the present invention.
Description
Technical field
The present invention relates to the present invention relates to social networks technical fields, more particularly to one kind sending modified tone in social networks
The method of voice.
Background technology
Currently, the user of the social interaction services such as mobile phone is limited to carry out message with the people that they are connected
Transmitting-receiving, text messaging may be this lower mode of efficiency for exchange, silver time in more scenes, when with
When family it is expected to send speech message, usually they must send its telephone number with text message and cause to blow one's cover.It should
Process, which results in user, can not enjoy the convenience of instant messaging anonymity.
Social networks, that is, social networking service (SNS, Social Network Service), main function is gathered around for a group
There is same interest to create on-line communities with movable people.This kind of service is often based on internet, and various contacts are provided for people
And the interaction access of exchange.
Word and picture be early stage social networks user between carry out information exchange main carriers.Compared to word and
Picture, voice is more direct lively for the expression of emotion, therefore, more and more to use in existing social networks
Family selection is exchanged by voice, i.e., sender user will wish that the information conveyed is sent to recipient with speech form and uses
Family.
But during interacting by voice, tend not to handle the voice of sender user, i.e.,
Recipient user's uppick is that the untreated voice of sender user (is primarily referred to as tone color and tone all not becoming
Change), in this case, the characteristics of being on the one hand unable to give full play voice itself, on the other hand user can be caused for social network
This is more dull for the usage experience of network, especially anonymity contribute to actually disclose identity before first know someone be intended to convey
Information, intrinsic communication disorder can be broken.
Invention content
In order to overcome drawbacks described above in the prior art, the present invention provides one kind sending modified tone voice in social networks
Method, which includes:
Create modified tone speech model;
Receive the voice that the first user sends to second user in social networks;
It detects first user and whether sends out trigger action and choose scheduled changes acoustic model to the voice progress change of voice,
If so, carry out noise suppression preprocessing and equalization energy pretreatment successively to the voice, and the voice is defeated by treated
Enter and carry out modified tone processing into the change acoustic model, to generate modified tone voice;
Modify tone voice described in server storage;
The modified tone voice is presented in the controllable computer graphical interface of the second user listens to interface, and is directed to
The second user hides the identity information of first user.
According to an aspect of the present invention, voice described in this method is obtained by the corresponding client of first user.
According to another aspect of the present invention, voice described in this method is obtained by the corresponding client of first user
Including:The client is by calling the voice input device of mobile terminal to obtain the voice.
According to another aspect of the present invention, noise suppression preprocessing described in this method includes:It is isolated from the voice
Voice waveform, and promote using Butterworth low pass wave method the smoothness of the voice waveform.
According to another aspect of the present invention, by treated, the voice is input in the change acoustic model in this method
Carrying out modified tone processing includes:By treated, the voice is converted into digital signal;With time Dynamic Programming SOLAFS algorithms pair
It is regular that the digital signal carries out duration.
According to another aspect of the present invention, modify tone described in server storage before voice, this method further includes:To institute
It states modified tone voice and carries out compression and/or redundancy enhancing processing.
The method provided by the present invention that modified tone voice is sent in social networks is by carrying out the voice for sending user
Voice change process generates the modified tone voice for being different from sending user's own voice, then sends the modified tone voice in a manner of anonymous
To intended recipient user, thus, can be made during using social networks to enhance user by the variation of voice
With experience.Ambient noise when the first user records the voice can be effectively eliminated by carrying out noise suppression preprocessing to the voice, be made
It is relatively sharp to obtain voice.Equalization energy pretreatment is executed to the voice, can make change of voice model more effectively to institute's predicate
Sound carries out modified tone processing.
Description of the drawings
By reading a detailed description of non-restrictive embodiments in the light of the attached drawings below, of the invention other
Feature, objects and advantages will become more apparent upon:
Fig. 1 is a specific implementation mode flow of the method according to the present invention that modified tone voice is sent in social networks
Figure;
Same or analogous reference numeral represents same or analogous component in attached drawing.
Specific implementation mode
For a better understanding and interpretation of the present invention, below in conjunction with attached drawing, the present invention is described in further detail.
Referring to FIG. 1, Fig. 1 is a specific reality of the method according to the present invention for sending modified tone voice in social networks
Mode flow chart is applied, this method includes:
Step S100 creates modified tone speech model;
Step S200 receives the voice that the first user sends to second user in social networks;
Step S300, detects whether first user sends out the scheduled change acoustic model of trigger action selection to the voice
The change of voice is carried out, if so, thening follow the steps S400;
Step S400 carries out the voice noise suppression preprocessing and equalization energy pretreatment successively;
Step S500, will treated that the voice is input in the changes acoustic model carries out modified tone processing, to generate change
Adjust voice;
Step S600, modify tone described in server storage voice;
The receipts of the modified tone voice are presented in step S700 in the user controllable computer graphical interface of second registration
Interface is listened, and the identity information that user hides the first registration user is registered for described second.
Specifically, in the step s 100, the establishment is become acoustic model and can be trained based on deep with user's sound file sample set
Degree limitation bohr machine neural network creates, can also user sound file sample training hidden Markov model neural network come
It realizes, the present invention is not defined to creating the concrete mode for becoming acoustic model.
In step s 200, the server in social networks receives the first user in social networks and is sent to second user
Voice, wherein user refer in social networks registration and can the legal user using the social networks.Preferably,
First user and second user are friend relation in the social networks.In the present embodiment, the voice is by described first
The corresponding client of user obtains.Wherein, which operates on the mobile terminal such as smart mobile phone, tablet computer,
By calling the voice input device of mobile terminal to obtain the voice.The voice is sent to by client after obtaining the voice
Server.In other embodiments, the voice can also be to have network connecting function by first user is corresponding
Electronic equipment (such as PC) is obtained by the WEB page of social networks, is then sent to server by the WEB page.
In step S300, detect whether first user sends out the scheduled change acoustic model of trigger action selection to described
Voice carries out the change of voice, and an operable computer graphic interface, the computer graphic typically is presented to first user
It can sense whether first user sends out the operation chosen and become acoustic model in pictureization interface.If detecting first user
The operation is sent out, S400 is thened follow the steps.
In step S400, consideration carries out the voice noise suppression preprocessing and equalization energy pretreatment successively.Specifically
Ground, due to that may include that echo, noise etc. are unfavorable for processing, transmission and the signal distinguished in the voice, in order to reach
Better breaking of voice effect improves the clarity that other users listen to modified tone voice, and it is pre- to carry out denoising to the voice first
Processing, typically, which can realize with the following method:Voice waveform, and use bar are isolated from the voice
Special Butterworth low-pass filtering method promotes the smoothness of the voice waveform.In addition to this, the noise suppression preprocessing can also include
Other more processing modes, such as carry out the place of one or more combinations such as cancelling out echo, noise suppressed, signal gain adjusting
Reason.Ambient noise when the first user records the voice can be effectively eliminated by carrying out noise suppression preprocessing to the voice so that people
Sound is relatively sharp.The pretreated effect of equalization energy is the sound type that can prejudge out first user,
Modified tone processing effectively is carried out to the voice in order to become acoustic model.
Next step S500 is executed, it will treated that the voice is input in the changes acoustic model carries out change and mediate
Reason, to generate modified tone voice.Specifically generating modified tone voice is, for example,:Voice of the server to the first registration user received
Voice change process is carried out, i.e., is generated by the tone color and/or tone that change the voice and is different from first registration user's own voices
Modify tone voice.Such as male voice is become into female voice, female voice is become into male voice, adult's voice is become into children
Loud voice is become hoarse voice etc. by voice.Preferably, server can determine the modified tone according to the configuration of the first user
The tone color and/or tone of voice.For example, the first user is male user, if it is women language that it, which configures the voice after the change of voice,
Sound, then server receive and tone color and the tone of voice accordingly adjusted to generate according to the configuration after the voice of the first user
Voice with feminine characteristics, if it is children speech that it, which configures the voice after the change of voice, server accordingly adjusts the tone color of voice
And tone is to generate the voice for carrying children's feature.In a specific embodiment, it can be used automatically according to described first
The tone color type at family becomes the type of acoustic model to choose;It in other examples, can be according to the operation of first user
To choose the type for becoming acoustic model.The side of change of voice version is chosen according to according to the tone color type of first user
Formula, it may be considered that feature extraction is carried out to the voice, can typically be realized with following flow:Pretreated voice is believed
Number it is divided into the speech frame of 30ms, the Mel-cepstrums of 12 dimensions is extracted in every speech frame,;This 12 cepstrum parameter tieed up is carried out
The processing of first-order difference obtains the dynamic difference parameter of 12 dimensions, and dynamic difference parameter and Mel-cepstrum cascade composition is current
Then the phonetic feature of the sound state Mel-cepstrum of speech frame randomly selects the sound state mel cepstrum of 90 frame voice signals
The phonetic feature of parameter forms the phonetic feature of the sound state Mel-cepstrum of current speech signal to tie up to 90*24
The speech characteristic vector is launched into 1 dimension, using neural network to institute by the speech characteristic vector of sound state Mel-cepstrum
It states speech characteristic vector and carries out Sexual discriminating.It is typically, a kind of that by treated, the voice is input in the change acoustic model
The method for carrying out modified tone processing includes following flow:By treated, the voice is converted into digital signal;It is advised with time dynamic
It is regular to digital signal progress duration to draw SOLAFS algorithms.Specifically, when target of changing voice is that female voice becomes male voice, by voice
The duration of signal expands as 1.1 to 1.3 times of primitive sound duration;Resampling is carried out again, and resampling rate is the 0.65 of former sample rate
To 0.8 times;When target of changing voice is that male voice becomes female voice, the duration of voice signal is reduced into the 0.65 to 0.8 of primitive sound duration
Times;Resampling is carried out again, and resampling rate is 1.1 to 1.3 times of former sample rate.
In this embodiment, step S500 is executed by the server of social networks.Those skilled in the art can
With understanding, in other embodiments, step S500 can also be by client executing, that is, client call mobile terminal
Voice input device receives the first user for the voice of second user transmission and carries out voice change process to the voice.
Further, step S600 is executed, after generating the modified tone voice, the server storage modified tone voice.If by society
The server of network is handed over to execute above-mentioned steps S500, then server directly deposits the modified tone voice after generating modified tone voice
Storage;If by the client executing above-mentioned steps S500 of social networks, client generates modified tone voice later by the modified tone voice
Server is sent to be stored.
Optionally, modify tone described in server storage before voice, this method further includes:The modified tone voice is pressed
Contracting and/or redundancy enhancing processing.The advantages of carrying out the compression processing is can to reduce the occupied storage of the modified tone voice
Space, the advantages of carrying out redundancy enhancing processing be can to avoid the modified tone voice in network transmission due to packet loss, difference
Distorted signals caused by the reasons such as mistake.
In step S700, the modified tone language is presented in the controllable computer graphical interface of the second user in server
Sound listens to interface, and second user can be listened to interface by this and obtain the modified tone voice, and at the same time, server is for described
Second user hides the identity information of first user.Since modified tone voice has been totally different from the first user sound of itself
Sound, and server does not also provide any information that can recognize the first user identity to second user, therefore, when the second use
When family is gone to access the modified tone voice by listening to interface, it can not be obtained by listening to the particular content that can only obtain the modified tone voice
Know the specific identity of the sender of the modified tone voice.The interface of listening to of the modified tone voice can be sent to the second use by server
The client at family is presented, wherein the client operates on the mobile terminal such as smart mobile phone, tablet computer.In addition,
Server can also to be sent to the electronic equipment with network connecting function (such as personal by the interface of listening to of the modified tone voice
Computer) on second user is presented to by the WEB page of social networks.
The part of software logic can make involved in the method provided by the invention for sending modified tone voice in social networks
It is realized with programmable logic device, computer program product can also be embodied as, which makes computer execution be used for
The method demonstrated.The computer program product includes computer readable storage medium, includes computer program on the medium
Logic or code section, for realizing each step of the above-mentioned part for being related to software logic.The computer-readable storage medium
Matter can be mounted built-in medium in a computer or the removable medium that can dismantle from basic computer (such as can be hot
The storage device of plug).The built-in medium includes but not limited to rewritable nonvolatile memory, for example, RAM, ROM and
Hard disk.The removable medium includes but not limited to:Optical storage media (such as CD-ROM and DVD), magneto-optic storage media (such as
MO), magnetic recording medium (such as tape or mobile hard disk), the media (example with built-in rewritable nonvolatile memory
Such as storage card) and media (such as ROM boxes) with built-in ROM.
It will be appreciated by those skilled in the art that any computer system with properly programmed device can execute and include
All steps of the method for the present invention in computer program product.Although majority specific implementation mode described in this specification
Software program is all laid particular emphasis on, but realizes that the alternate embodiment of method provided by the invention is equally wanted in the present invention in hardware
Within the scope of asking protection.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case of without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, Ying Jiang
Embodiment regards exemplary as, and is non-limiting, the scope of the present invention by appended claims rather than on state
Bright restriction, all changes within the meaning and scope of the equivalents of the claims include within the present invention.It should not will weigh
Any reference numeral in profit requirement, which is considered as, to be limited the claims involved.Furthermore, it is to be understood that one word of " comprising " is not excluded for other
Component, unit or step, odd number are not excluded for plural number.Multiple components, unit or the device stated in claim can also be by one
A component, unit or device are realized by software or hardware.
The method provided by the present invention that modified tone voice is sent in social networks is by carrying out the voice for sending user
Voice change process generates the modified tone voice for being different from sending user's own voice, then sends the modified tone voice in a manner of anonymous
To intended recipient user, thus, can be made during using social networks to enhance user by the variation of voice
With experience.Ambient noise when the first user records the voice can be effectively eliminated by carrying out noise suppression preprocessing to the voice, be made
It is relatively sharp to obtain voice.Equalization energy pretreatment is executed to the voice, can make change of voice model more effectively to institute's predicate
Sound carries out modified tone processing.
Described above is only some preferred embodiments of the present invention, and the right model of the present invention cannot be limited with this
It encloses, equivalent changes made in accordance with the claims of the present invention are still within the scope of the present invention.
Claims (6)
1. a kind of method sending modified tone voice in social networks, the communication means include:
Create modified tone speech model;
Receive the voice that the first user sends to second user in social networks;
Detect whether first user sends out the scheduled change acoustic model of trigger action selection to the voice progress change of voice, if
It is then to carry out noise suppression preprocessing and equalization energy pretreatment successively to the voice, and the voice inputs by treated
To modified tone processing is carried out in the change acoustic model, to generate modified tone voice;
Modify tone voice described in server storage;
The modified tone voice is presented in the controllable computer graphical interface of the second user listens to interface, and for described
Second user hides the identity information of first user.
2. according to the method described in claim 1, wherein, the voice is obtained by the corresponding client of first user.
3. according to the method described in claim 2, wherein, the voice is wrapped by the corresponding client of first user
It includes:
The client is by calling the voice input device of mobile terminal to obtain the voice.
4. according to the method described in claim 1, wherein, the noise suppression preprocessing includes:
Voice waveform is isolated from the voice, and promotes the flat of the voice waveform using Butterworth low pass wave method
Slippery.
It, will treated that the voice is input in the change acoustic model carries out 5. according to the method described in claim 1, wherein
Modified tone is handled:
By treated, the voice is converted into digital signal;
It is regular that duration is carried out to the digital signal with time Dynamic Programming SOLAFS algorithms.
6. according to the method described in claim 1, wherein, modifying tone described in server storage before voice, this method further includes:
Compression and/or redundancy enhancing processing are carried out to the modified tone voice.
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Cited By (3)
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CN110071938A (en) * | 2019-05-05 | 2019-07-30 | 广州虎牙信息科技有限公司 | Virtual image interactive method, apparatus, electronic equipment and readable storage medium storing program for executing |
CN111564158A (en) * | 2020-04-29 | 2020-08-21 | 上海紫荆桃李科技有限公司 | Configurable sound changing device |
CN112837668A (en) * | 2019-11-01 | 2021-05-25 | 北京搜狗科技发展有限公司 | Voice processing method and device for processing voice |
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CN103514883A (en) * | 2013-09-26 | 2014-01-15 | 华南理工大学 | Method for achieving self-adaptive switching of male voice and female voice |
CN104980396A (en) * | 2014-04-03 | 2015-10-14 | 北京千橡网景科技发展有限公司 | Communication method and system used for social network |
CN106531185A (en) * | 2016-11-01 | 2017-03-22 | 上海语知义信息技术有限公司 | Voice evaluation method and system based on voice similarity |
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