CN108847224A - A kind of sound mural painting plane display method and device - Google Patents

A kind of sound mural painting plane display method and device Download PDF

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Publication number
CN108847224A
CN108847224A CN201810732031.4A CN201810732031A CN108847224A CN 108847224 A CN108847224 A CN 108847224A CN 201810732031 A CN201810732031 A CN 201810732031A CN 108847224 A CN108847224 A CN 108847224A
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gender
age
voice
recognition result
sound
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黎智勇
郑薇
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Guangzhou Speakin Network Technology Co Ltd
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Guangzhou Speakin Network Technology Co Ltd
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    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/06Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
    • G10L15/063Training
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09FDISPLAYING; ADVERTISING; SIGNS; LABELS OR NAME-PLATES; SEALS
    • G09F27/00Combined visual and audible advertising or displaying, e.g. for public address
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • G10L15/16Speech classification or search using artificial neural networks
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/27Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the analysis technique
    • G10L25/30Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the analysis technique using neural networks
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/48Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
    • G10L25/51Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/48Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
    • G10L25/51Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
    • G10L25/66Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for extracting parameters related to health condition

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Acoustics & Sound (AREA)
  • Computational Linguistics (AREA)
  • Signal Processing (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Electrically Operated Instructional Devices (AREA)

Abstract

The invention discloses a kind of sound mural painting plane display method and devices.The present invention establishes age identification model and gender identification model, age and the gender that Application on Voiceprint Recognition judges speaker are carried out to voice to be identified, and then show corresponding pattern, it is unrelated with the decibel of sound in identification process, so speaker is without shouting, reduce influence of the noise to surrounding in sound wall use process, and different patterns can be shown according to the difference of age and gender, increase the diversity and interactivity of pattern, it solves current sound wall and is easy to produce noise and surrounding is impacted, and pattern is single, and the technical problem of lack of diversity and interactivity.

Description

A kind of sound mural painting plane display method and device
Technical field
The present invention relates to sound techniques field more particularly to a kind of sound mural painting plane display methods.
Background technique
In order to improve amusement park and park public place recreational facilities diversity, people place in these public places A kind of sound wall, sound wall can obtain the sound of ambient enviroment by sound pick-up, be according to the judgement of the size of sound decibel The size of no display pattern and pattern.
This sound wall has certain interest, but due to that can only judge whether to show according to the size of sound decibel The size of pattern and pattern needs great decibel when causing sometimes using the sound wall, impacts to surrounding, and scheme Case is single, lack of diversity and interactivity.
Therefore, it results in current sound wall and is easy to produce noise and surrounding is impacted, and pattern is single, and lack Diversity and interactive technical problem.
Summary of the invention
The present invention provides a kind of sound mural painting plane display method and device, solves current sound wall and be easy to produce and make an uproar Sound impacts surrounding, and pattern is single, and lack of diversity and interactive technical problem.
The present invention provides a kind of sound mural painting plane display methods, including:
S1:Obtain the age training voice of the first preset quantity and the gender training voice of the second preset quantity;
S2:First nerves network model is trained to obtain age identification model, passability by age training voice Not Xun Lian voice nervus opticus network model is trained to obtain gender identification model;
S3:Voice to be identified input age identification model is obtained into age recognition result, voice to be identified is inputted into gender Identification model obtains gender recognition result, shows corresponding picture according to age recognition result and gender recognition result.
Preferably, step S3 is specifically included:
S31:Voice to be identified input age identification model is obtained into age recognition result, whether judges age recognition result More than or equal to preset age threshold, if so, S32 is thened follow the steps, if it is not, thening follow the steps S33;
S32:Voice to be identified input gender identification model is obtained into gender recognition result, if gender recognition result is male, It then shows the first picture, if gender recognition result is female, shows second picture;
S33:Voice to be identified input gender identification model is obtained into gender recognition result, if gender recognition result is male, It then shows third picture, if gender recognition result is female, shows the 4th picture.
Preferably, after step S2, further include before step S3:Step S01;
S01:Feature extraction is carried out to voice to be identified by FBank feature extraction algorithm.
Preferably, after step S01, further include before step S3:Step S02;
S02:End-point detection is carried out to the voice to be identified after feature extraction by voice activity detection algorithm.
Preferably, neural network model is LSTM neural network model.
The present invention provides a kind of sound mural painting flat-panel display devices, including:
Training acquiring unit, for obtaining the age training voice of the first preset quantity and the gender instruction of the second preset quantity Practice voice;
Model training unit obtains age knowledge for being trained by age training voice to first nerves network model Other model is trained nervus opticus network model to obtain gender identification model by gender training voice;
Identify display unit, it, will be wait know for voice to be identified input age identification model to be obtained age recognition result Other voice input gender identification model obtains gender recognition result, is corresponded to according to age recognition result and the display of gender recognition result Picture.
Preferably, identification display unit specifically includes:
Age subelement judges the age for voice to be identified input age identification model to be obtained age recognition result Whether recognition result is greater than or equal to preset age threshold, if so, the first subelement of triggering, if it is not, then the second son of triggering is single Member;
First subelement, for voice to be identified input gender identification model to be obtained gender recognition result, if gender is known Other result is male, then shows the first picture, if gender recognition result is female, shows second picture;
Second subelement, for voice to be identified input gender identification model to be obtained gender recognition result, if gender is known Other result is male, then shows third picture, if gender recognition result is female, shows the 4th picture.
Preferably, further include:Feature subelement;
Feature subelement, for carrying out feature extraction to voice to be identified by FBank feature extraction algorithm.
Preferably, further include:Endpoint subelement;
Endpoint subelement, for carrying out endpoint inspection to the voice to be identified after feature extraction by voice activity detection algorithm It surveys.
Preferably, neural network model is LSTM neural network model.
As can be seen from the above technical solutions, the present invention has the following advantages that:
The present invention provides a kind of sound mural painting plane display methods, including:S1:Obtain the age training of the first preset quantity The gender of voice and the second preset quantity trains voice;S2:First nerves network model is instructed by age training voice It gets to age identification model, nervus opticus network model is trained by gender training voice to obtain gender identification mould Type;S3:Voice to be identified input age identification model is obtained into age recognition result, voice to be identified input gender is identified into mould Type obtains gender recognition result, shows corresponding picture according to age recognition result and gender recognition result.
The present invention establishes age identification model and gender identification model, carries out Application on Voiceprint Recognition judgement to voice to be identified and speaks The age of people and gender, and then show corresponding pattern, it is unrelated with the decibel of sound in identification process, so speaker is without big Sound is shouted, and reduces influence of the noise to surrounding in sound wall use process, and can show according to the difference of age and gender Show different patterns, increase the diversity and interactivity of pattern, solves current sound wall and be easy to produce noise to surrounding It impacts, and pattern is single, and lack of diversity and interactive technical problem.
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 without any creative labor, may be used also for those of ordinary skill in the art To obtain other attached drawings according to these attached drawings.
Fig. 1 is a kind of one embodiment of sound mural painting plane display method provided in an embodiment of the present invention;
Fig. 2 is a kind of another embodiment of sound mural painting plane display method provided in an embodiment of the present invention;
Fig. 3 is a kind of one embodiment of sound mural painting flat-panel display device provided in an embodiment of the present invention.
Specific embodiment
The embodiment of the invention provides a kind of sound mural painting plane display method and devices, solve current sound wall and are easy It generates noise to impact surrounding, and pattern is single, and lack of diversity and interactive technical problem.
In order to make the invention's purpose, features and advantages of the invention more obvious and easy to understand, below in conjunction with the present invention Attached drawing in embodiment, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that disclosed below Embodiment be only a part of the embodiment of the present invention, and not all embodiment.Based on the embodiments of the present invention, this field Those of ordinary skill's all other embodiment obtained without making creative work, belongs to protection of the present invention Range.
Referring to Fig. 1, the embodiment of the invention provides a kind of one embodiment of sound mural painting plane display method, including:
Step 101:Obtain the age training voice of the first preset quantity and the gender training voice of the second preset quantity;
It should be noted that needing first to obtain the first preset quantity before establishing age identification model and gender identification model Age training voice and the second preset quantity gender training voice as training sample.
Step 102:First nerves network model is trained to obtain age identification model by age training voice, is led to Gender training voice is crossed nervus opticus network model is trained to obtain gender identification model;
It should be noted that having obtained the gender training of the age training voice and the second preset quantity of the first preset quantity After voice, first nerves network model can be trained to obtain age identification model by age training voice, passed through Gender training voice is trained nervus opticus network model to obtain gender identification model.
Step 103:Voice to be identified input age identification model is obtained into age recognition result, voice to be identified is inputted Gender identification model obtains gender recognition result, shows corresponding picture according to age recognition result and gender recognition result.
It should be noted that age recognition result is can be obtained into voice to be identified input age identification model, it will be to be identified Gender recognition result can be obtained in voice input gender identification model, and the age of comprehensive speaker and gender show corresponding picture.
The present embodiment establishes age identification model and gender identification model, carries out Application on Voiceprint Recognition judgement to voice to be identified and says Age and the gender of people are talked about, and then shows corresponding pattern, it is unrelated with the decibel of sound in identification process, so speaker is not necessarily to It shouts, reduces influence of the noise to surrounding in sound wall use process, and can be with according to the difference of age and gender It shows different patterns, increases the diversity and interactivity of pattern, solve current sound wall and be easy to produce noise to week It encloses and impacts, and pattern is single, and lack of diversity and interactive technical problem.
The above are a kind of one embodiment of sound mural painting plane display method provided in an embodiment of the present invention, and the following are this hairs A kind of another embodiment for sound mural painting plane display method that bright embodiment provides.
Referring to Fig. 2, the embodiment of the invention provides a kind of another embodiment of sound mural painting plane display method, packet It includes:
Step 201:Obtain the age training voice of the first preset quantity and the gender training voice of the second preset quantity;
It should be noted that the first preset quantity and the second preset quantity can be determined according to the actual situation, such as Obtain 1000 sections of age training voices and 1000 sections of gender training voices.
Age training voice and gender training voice have first been marked as prior information, such as 1000 sections of ages Training voice may include 500 sections of voices for being noted as 40 years old people below, and 500 sections are noted as 40 years old or 40 years old or more The voice of people, 1000 sections of gender training voices may include that 500 sections of voices for being noted as male and 500 sections are noted as women Voice.
Step 202:First nerves network model is trained to obtain age identification model by age training voice, is led to Gender training voice is crossed nervus opticus network model is trained to obtain gender identification model;
It should be noted that being trained to obtain age identification mould to first nerves network model by age training voice Type is trained nervus opticus network model to obtain gender identification model by gender training voice.
Neural network model can select LSTM (Long Short-Term Memory, shot and long term note according to actual needs Recall) neural network model, GRU (Gated Recurrent Unit, gating cycle) neural network model or RNN (Recurrent Neural Network, circulation) models such as neural network model.
Step 203:Feature extraction is carried out to voice to be identified by FBank feature extraction algorithm;
It should be noted that FBank feature extraction algorithm is a kind of front-end processing algorithm, in a manner of being similar to human ear pair Audio is handled, and the performance of speech recognition can be improved.
Voice to be identified is acquired by the sound pick-up of sound wall.
Step 204:End-point detection is carried out to the voice to be identified after feature extraction by voice activity detection algorithm;
It should be noted that voice activity detection (Voice Activity Detection, VAD) is also known as sound end inspection It surveys or voice boundary is examined, refer to the presence or absence for detecting voice in noise circumstance, commonly used in voice coding, speech enhan-cement etc. In speech processing system, playing reduces speech encoding rate, saves communication bandwidth, reduces energy consumption of mobile equipment and improve discrimination The effects of.
Step 205:Voice to be identified input age identification model is obtained into age recognition result, judges age recognition result Whether preset age threshold is greater than or equal to, if so, 206 are thened follow the steps, if it is not, thening follow the steps 207;
It should be noted that different age recognition methods can be used according to the mark difference of age training voice, such as Fruit age training voice be only simply divided into two classes (such as 40 years old the following are one kind, 40 years old or be greater than 40 years old for one kind), that Preset age threshold (such as with 40 years old for preset age threshold) can be set and judged whether judge age recognition result More than or equal to preset age threshold, if so, 206 are thened follow the steps, if it is not, thening follow the steps 207.
If the age training voice can be divided into multiclass (such as 0 to 10 year old for one kind, 10 to 20 years old for one kind, 20 to 30 years old For one kind etc.), then judge what age range speaker is in, different age ranges executes different steps.
Step 206:Voice to be identified input gender identification model is obtained into gender recognition result, if gender recognition result is Male then shows the first picture, if gender recognition result is female, shows second picture;
It should be noted that when executing step 206, since current gender is broadly divided into male and two class of female, so wait know Other voice input gender identification model obtains gender recognition result, if gender recognition result is male, the first picture is shown, if property Other recognition result is female, then shows second picture.
Step 207:Voice to be identified input gender identification model is obtained into gender recognition result, if gender recognition result is Male then shows third picture, if gender recognition result is female, shows the 4th picture.
It should be noted that voice to be identified input gender identification model is obtained gender identification when executing step 207 As a result, showing third picture if gender recognition result is male, if gender recognition result is female, the 4th picture is shown.
First picture, second picture, third picture and the 4th picture can according to all age group and property another characteristic into Row selection, for example, the first picture can choose guest-welcoming pine picture, for indicating spy of 40 years old or more the man as pillar in family Sign, second picture can choose the fresh flower picture to burst forth, 40 years old or more woman be likened into the fresh flower held, third picture can To select love picture, man is filled with life vigor within expression 40 years old or less, and the 4th picture can choose the fresh flower that a bud just ready to burst The youthful vigor of picture expression 40 years old or less woman.
The display of picture is shown by the LED screen of sound wall.
The present embodiment establishes age identification model and gender identification model, carries out Application on Voiceprint Recognition judgement to voice to be identified and says Age and the gender of people are talked about, and then shows corresponding pattern, it is unrelated with the decibel of sound in identification process, so speaker is not necessarily to It shouts, reduces influence of the noise to surrounding in sound wall use process.
And different patterns can be shown according to the difference of age and gender, increase the diversity and interaction of pattern Property.
Neural network model can select LSTM neural network model, GRU neural network model or mind according to actual needs Through models such as network models.
Feature extraction can also be carried out to voice to be identified by FBank feature extraction algorithm, pass through speech terminals detection Algorithm to voice to be identified carry out end-point detection, reduce speech encoding rate, save communication bandwidth, reduce energy consumption of mobile equipment and Improve discrimination.
In conclusion the sound mural painting plane display method of the present embodiment, which solves current sound wall, is easy to produce noise pair Surrounding impacts, and pattern is single, and lack of diversity and interactive technical problem.
The above are a kind of another embodiments of sound mural painting plane display method provided in an embodiment of the present invention, and the following are this A kind of one embodiment for sound mural painting flat-panel display device that inventive embodiments provide.
Referring to Fig. 3, the embodiment of the invention provides a kind of one embodiment of sound mural painting flat-panel display device, including:
Training acquiring unit 301, the property of age training voice and the second preset quantity for obtaining the first preset quantity It Xun Lian not voice;
Model training unit 302, for being trained to obtain year to first nerves network model by age training voice Age identification model is trained nervus opticus network model to obtain gender identification model by gender training voice;
Identify display unit 303, it, will be to for voice to be identified input age identification model to be obtained age recognition result Identification voice input gender identification model obtains gender recognition result, is shown pair according to age recognition result and gender recognition result The picture answered.
Further, identification display unit 303 specifically includes:
Age subelement 3031 judges for voice to be identified input age identification model to be obtained age recognition result Whether age recognition result is greater than or equal to preset age threshold, if so, the first subelement 3032 of triggering, if it is not, then triggering Second subelement 3033;
First subelement 3032, for voice to be identified input gender identification model to be obtained gender recognition result, if property Other recognition result is male, then shows the first picture, if gender recognition result is female, shows second picture;
Second subelement 3033, for voice to be identified input gender identification model to be obtained gender recognition result, if property Other recognition result is male, then shows third picture, if gender recognition result is female, shows the 4th picture.
Further, further include:Feature subelement 304;
Feature subelement 304, for carrying out feature extraction to voice to be identified by FBank feature extraction algorithm.
Further, further include:Endpoint subelement 305;
Endpoint subelement 305, for being held by voice activity detection algorithm to the voice to be identified after feature extraction Point detection.
Further, neural network model is LSTM neural network model.
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 system, device and method can be with It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit It divides, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components It can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown or The mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, the indirect coupling of device or unit It closes or communicates to connect, can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme 's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words It embodies, which is stored in a storage medium, including some instructions are used so that a computer Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the present invention Portion or part steps.And storage medium above-mentioned includes:USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can store journey The medium of sequence code.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although referring to before Stating embodiment, invention is explained in detail, those skilled in the art should understand that:It still can be to preceding Technical solution documented by each embodiment is stated to modify or equivalent replacement of some of the technical features;And these It modifies or replaces, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.

Claims (10)

1. a kind of sound mural painting plane display method, which is characterized in that including:
S1:Obtain the age training voice of the first preset quantity and the gender training voice of the second preset quantity;
S2:First nerves network model is trained to obtain age identification model by age training voice, is instructed by gender Practice voice nervus opticus network model is trained to obtain gender identification model;
S3:Voice to be identified input age identification model is obtained into age recognition result, by voice to be identified input gender identification Model obtains gender recognition result, shows corresponding picture according to age recognition result and gender recognition result.
2. a kind of sound mural painting plane display method according to claim 1, which is characterized in that step S3 is specifically included:
S31:Voice to be identified input age identification model is obtained into age recognition result, judges whether age recognition result is greater than Or it is equal to preset age threshold, if so, S32 is thened follow the steps, if it is not, thening follow the steps S33;
S32:Voice to be identified input gender identification model is obtained into gender recognition result, if gender recognition result is male, is shown Show the first picture, if gender recognition result is female, shows second picture;
S33:Voice to be identified input gender identification model is obtained into gender recognition result, if gender recognition result is male, is shown Show third picture, if gender recognition result is female, shows the 4th picture.
3. a kind of sound mural painting plane display method according to claim 1, which is characterized in that after step S2, step S3 Further include before:Step S01;
S01:Feature extraction is carried out to voice to be identified by FBank feature extraction algorithm.
4. a kind of sound mural painting plane display method according to claim 3, which is characterized in that after step S01, step S3 Further include before:Step S02;
S02:End-point detection is carried out to the voice to be identified after feature extraction by voice activity detection algorithm.
5. a kind of sound mural painting plane display method according to claim 1, which is characterized in that neural network model LSTM Neural network model.
6. a kind of sound mural painting flat-panel display device, which is characterized in that including:
Training acquiring unit, for obtaining the age training voice of the first preset quantity and the gender training language of the second preset quantity Sound;
Model training unit obtains age identification mould for being trained by age training voice to first nerves network model Type is trained nervus opticus network model to obtain gender identification model by gender training voice;
Display unit is identified, for voice to be identified input age identification model to be obtained age recognition result, by language to be identified Sound input gender identification model obtains gender recognition result, shows corresponding figure according to age recognition result and gender recognition result Piece.
7. a kind of sound mural painting flat-panel display device according to claim 6, which is characterized in that identification display unit specifically wraps It includes:
Age subelement judges that the age identifies for voice to be identified input age identification model to be obtained age recognition result As a result whether it is greater than or equal to preset age threshold, if so, the first subelement of triggering, if it is not, then triggering the second subelement;
First subelement, for voice to be identified input gender identification model to be obtained gender recognition result, if gender identification knot Fruit is male, then shows the first picture, if gender recognition result is female, shows second picture;
Second subelement, for voice to be identified input gender identification model to be obtained gender recognition result, if gender identification knot Fruit is male, then shows third picture, if gender recognition result is female, shows the 4th picture.
8. a kind of sound mural painting flat-panel display device according to claim 6, which is characterized in that further include:Feature subelement;
Feature subelement, for carrying out feature extraction to voice to be identified by FBank feature extraction algorithm.
9. a kind of sound mural painting flat-panel display device according to claim 8, which is characterized in that further include:Endpoint subelement;
Endpoint subelement, for carrying out end-point detection to the voice to be identified after feature extraction by voice activity detection algorithm.
10. a kind of sound mural painting flat-panel display device according to claim 6, which is characterized in that neural network model is LSTM neural network model.
CN201810732031.4A 2018-07-05 2018-07-05 A kind of sound mural painting plane display method and device Pending CN108847224A (en)

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CN110211569A (en) * 2019-07-09 2019-09-06 浙江百应科技有限公司 Real-time gender identification method based on voice map and deep learning
CN110619889A (en) * 2019-09-19 2019-12-27 Oppo广东移动通信有限公司 Sign data identification method and device, electronic equipment and storage medium
CN111128235A (en) * 2019-12-05 2020-05-08 厦门快商通科技股份有限公司 Age prediction method, device and equipment based on voice

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Application publication date: 20181120