CN112270930A - Method for voice recognition conversion - Google Patents
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0208—Noise filtering
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
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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
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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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
- G10L15/00—Speech recognition
- G10L15/28—Constructional details of speech recognition systems
- G10L15/30—Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
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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
- G10L21/028—Voice signal separating using properties of sound source
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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
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
- G10L2015/088—Word spotting
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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
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/223—Execution procedure of a spoken command
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0208—Noise filtering
- G10L2021/02087—Noise filtering the noise being separate speech, e.g. cocktail party
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Abstract
The invention discloses a voice recognition conversion method, which comprises a central control center, wherein the central control center is in signal connection with a voice information receiving module for receiving voice, the voice information receiving module is in signal connection with a voice filtering module for eliminating noise, the central control center is in signal connection with an information data display module for displaying information, and the central control center is in signal connection with a data center; the problems that when the non-standard mandarin is spoken, the accuracy of voice recognition conversion is poor, when noise occurs in the voice conversion process and the voice is communicated with surrounding personnel, the related noise is simultaneously converted with the voice communicated with the surrounding personnel, so that the voice conversion fails, a large amount of network vocabularies of young people are used, and the related instructions are effectively sent are influenced are solved; the method has the advantages of being capable of accurately converting nonstandard mandarin, good in conversion effect, capable of effectively filtering peripheral noise, high in conversion power, capable of accurately analyzing network expressions and stable and effective in command sending.
Description
Technical Field
The invention relates to the technical field of voice recognition, in particular to a voice recognition conversion method.
Background
Speech recognition is a cross discipline, and in the last two decades, speech recognition technology has made remarkable progress, and starts to move from the laboratory to the market, people predict that, in the next 10 years, speech recognition technology will enter various fields such as industry, household electrical appliances, communication, automotive electronics, medical treatment, home service, consumer electronics, and many experts regard speech recognition technology as one of the ten most important scientific and technological development technologies in the information technology field between 2000 and 2010, and the fields related to speech recognition technology include: signal processing, pattern recognition, probability and information theory, sound and hearing mechanisms, artificial intelligence, and the like.
When the existing voice recognition conversion method is used, a voice input person generally needs to speak a standard mandarin to carry out effective voice input, but the standard mandarin has certain difficulty, when the voice input person speaks the mandarin, some native dialects are brought, so that the mandarin doped with dialects interferes with the recognition accuracy of voice conversion, and the voice conversion effect is poor; in the process of voice conversion, when some noise exists in the periphery or peripheral personnel carry out voice communication, voice conversion can simultaneously convert some sounds which cannot distinguish the noise and the communication of the peripheral personnel, so that the voice recognition conversion fails; when the young people carry out voice conversion, network expressions are inevitably carried, and the large use of the network expressions can also cause interference to the voice recognition conversion and convert wrong instructions, so that a voice recognition conversion method is provided.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides a method for voice recognition conversion, which solves the problems that when the non-standard mandarin is spoken, the accuracy of voice recognition conversion is poor, when noise occurs in the voice conversion process and the voice is communicated with surrounding personnel, the voice communicated with the surrounding personnel is simultaneously converted by the related noise, the voice conversion fails, a large amount of network vocabularies of young people is used, and the related instructions are influenced to be effectively sent.
In order to solve the technical problems, the invention provides the following technical scheme:
the invention relates to a voice recognition conversion method, which comprises a central control center, wherein the central control center is in signal connection with a voice information receiving module for receiving voice, the voice information receiving module is in signal connection with a voice filtering module for eliminating noise, the central control center is in signal connection with an information data display module for displaying information, the central control center is in signal connection with a data center, the data center is in signal connection with a statement analysis module for distinguishing languages, the data center is in signal connection with a mandarin module for official formal languages, the data center is in signal connection with a dialect module for local languages, and the dialect module is in signal connection with dialect selection.
Preferably, the voice filtering module comprises a tone distinguishment, the voice filtering module is in signal connection with the tone distinguishment for distinguishing the tone characteristic, and the voice filtering module is in signal connection with the volume distinguishment for distinguishing the noise.
Preferably, the information data display module is connected with the dialect selection signal, and the information data display module controls dialect selection through the signal.
Preferably, the data center is connected with a WIFI hotspot.
Preferably, the sentence analysis module includes a word formation module, the sentence analysis module is in signal connection with a word formation module for supplementing missing parts such as words or idioms included in the received voice, the sentence analysis module is in signal connection with a fuzzy search module for analyzing according to the expression meaning in the voice, and the sentence analysis module is in signal connection with an intelligent retrieval module for searching related sentences through a connection network.
The invention has the beneficial effects that: the method for voice recognition and conversion has the advantages of being capable of accurately converting nonstandard Mandarin, good in conversion effect, capable of effectively filtering peripheral noise, high in conversion power, capable of accurately analyzing network expressions and stable and effective in command sending.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of the overall structure of a method for speech recognition conversion according to the present invention;
FIG. 2 is a schematic diagram of a speech filtering module of a method for speech recognition conversion according to the present invention;
FIG. 3 is a diagram illustrating a sentence analysis module structure of a method for speech recognition conversion according to the present invention;
in the figure: 1. a central control center; 2. a voice information receiving module; 3. a voice filtering module; 31. tone distinguishing; 32. distinguishing timbres; 33. distinguishing the volume; 4. an information data display module; 5. a data center; 6. a statement analysis module; 61. a word-forming module; 62. a fuzzy search module; 63. an intelligent retrieval module; 7. a Mandarin module; 8. a dialect module; 9. and selecting dialect.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
In this embodiment: referring to fig. 1-3, a voice recognition and conversion method according to the present invention includes a central control center 1, the central control center 1 performing overall planning of information and issuing of instructions according to needs, the central control center 1 being in signal connection with a voice information receiving module 2 receiving voice, the voice information receiving module 2 being in signal connection with a voice filtering module 3 performing noise elimination, the central control center 1 being in signal connection with an information data display module 4 displaying information, the central control center 1 being in signal connection with a data center 5, the central control center 1 transmitting data to the data center 5, and the central control center 1 issuing related instructions according to the data center 5, the data center 5 being in signal connection with a language-distinguishing statement analysis module 6, the data center 5 being in signal connection with a mandarin module 7 of official formal language, the data center 5 being in signal connection with a dialect module 8 of local language, the dialect module 8 is connected with a dialect selection 9 in a signal mode, the dialect selection 9 selects a required local language, and then a corresponding instruction is sent to the dialect module 8.
The voice filtering module 3 comprises a tone distinguishing part 31, the voice filtering module 3 is in signal connection with the tone distinguishing part 31 for distinguishing the tone height, the voice filtering module 3 is in signal connection with the tone distinguishing part 32 for distinguishing the voice characteristic, the voice filtering module 3 is in signal connection with the volume distinguishing part 33 for distinguishing the noise, the tone distinguishing part 31 can distinguish that the higher tone belongs to the female, the lower tone belongs to the male, the tone distinguishing part 32 can distinguish the voice of the adult and the child according to the frequency of the tone, when the voice conversion is carried out, the transient higher or lower voice appears around, the transient higher or lower voice can be automatically screened out, and the voice really needing to be converted is distinguished.
The information data display module 4 is in signal connection with the dialect selection 9, the information data display module 4 controls the dialect selection 9 through signals, the information data display module 4 sends an instruction to the dialect selection 9, and the corresponding local language is selected according to the local language of the operator.
The data center 5 is connected with a WIFI hotspot, the data center 5 is connected with a network by using the WIFI hotspot, and related data, such as network expression, local language supplement, uncommon word supplement and other information, are updated regularly according to needs.
The sentence analysis module 6 comprises a word group module 61, the sentence analysis module 6 is in signal connection with the word group module 61 for supplementing missing parts such as words or idioms contained in the received voice, the sentence analysis module 6 is in signal connection with a fuzzy search module 62 for analyzing according to the expression meaning in the voice, and the sentence analysis module 6 is in signal connection with an intelligent retrieval module 63 for searching related sentences through a connection network.
The method comprises the following specific steps:
when voice recognition conversion is carried out, a user firstly feeds basic information of the user back to the information data display module 4, the basic information comprises sex, age and the like, the information data display module 4 feeds the basic information of the user back to the central control center 1, a local language which meets the actual situation of the user is selected according to the dialect selection 9, related information is synchronously fed back to the central control center 1, and the data center 5 is regularly networked to update new network words and the like;
secondly, the user sends out corresponding voice, the voice information receiving module 2 receives the voice sent out by the voice information receiving module, the received voice is fed back to the voice filtering module 3 at the moment, the voice filtering module 3 is matched with the tone to distinguish 31 whether the received voice is sent out by a male or a female, noise which does not accord with the gender is removed according to the gender of the user, the voice filtering module 3 is matched with the tone to distinguish 32 to distinguish the voice of an adult from the voice of a child, the voice of the adult and the voice of the child are distinguished, and the voice filtering module 3 is matched with the volume to distinguish 33 to screen the volume which is too large or too small on the periphery, so that more stable sound volume is selected;
thirdly, the voice filtering module 3 feeds the screened voice back to the central control center 1, the central control center 1 feeds the voice back to the data center 5, the data center 5 analyzes the voice by combining the dialect module 8, the mandarin module 7 and the sentence analyzing module 6, the dialect module 8 is matched with the mandarin module 7 to carry out combined analysis on the voice according to the local dialect to which the central control center 1 feeds back a user, after the combined analysis, the sentence analyzing module 6 is matched with the fuzzy searching module 62, the word forming module 61 and the intelligent retrieval module 63 to carry out final analysis on the voice, and conversion of corresponding instructions and the like is carried out according to the analyzed voice, so that the effective sending of related instructions is realized.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. A method for voice recognition conversion comprises a center control center, and is characterized in that: the voice information processing system comprises a central control center, a voice information receiving module, a voice filtering module, an information data display module, a data center, a statement analysis module, a mandarin module, a dialect module and a dialect selection module, wherein the voice information receiving module is connected with a voice signal for receiving voice, the voice information receiving module is connected with the voice filtering module for eliminating noise, the information data display module is connected with the central control center, the data center is connected with the data center, the statement analysis module is connected with the data center in a signal mode, the language of the data center is distinguished from the language of the data center, the mandarin module is connected with the dialect module in official formal language of.
2. A method of speech recognition conversion according to claim 1, wherein: the voice filtering module comprises a tone distinguishing part, the voice filtering module is connected with the tone distinguishing part through signals, the tone distinguishing part is used for distinguishing the tone height, the voice filtering module is connected with the tone distinguishing part for distinguishing the sound characteristics through signals, and the voice filtering module is connected with the volume distinguishing part for distinguishing the noise.
3. A method of speech recognition conversion according to claim 1, wherein: the information data display module is connected with the dialect selection signal and controls dialect selection through the information data display module signal.
4. A method of speech recognition conversion according to claim 1, wherein: the data center is connected with a WIFI hotspot.
5. A method of speech recognition conversion according to claim 1, wherein: the sentence analysis module comprises a word forming module, the sentence analysis module is in signal connection with a word forming module which supplements missing parts such as words or idioms contained in received voice, the sentence analysis module is in signal connection with a fuzzy search module which analyzes according to expression meaning in the voice, and the sentence analysis module is in signal connection with an intelligent retrieval module which is connected with a network and searches for related sentences.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116647634A (en) * | 2023-07-27 | 2023-08-25 | 河北跃创科技有限公司 | Broadcasting intercom terminal |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1286329A1 (en) * | 2001-08-23 | 2003-02-26 | Culturecom Technology (Macau) Ltd. | Method and system for phonetic recognition |
| CN102638605A (en) * | 2011-02-14 | 2012-08-15 | 苏州巴米特信息科技有限公司 | Speech system for recognizing dialect background mandarin |
| CN103970731A (en) * | 2014-05-19 | 2014-08-06 | 无锡国澳实业有限公司 | Chinese semantic activity recognition method |
| CN105117034A (en) * | 2015-08-31 | 2015-12-02 | 任文 | Method for inputting Chinese speeches, positioning statements and correcting errors |
| CN105824861A (en) * | 2015-09-18 | 2016-08-03 | 维沃移动通信有限公司 | Audio recommending method and mobile terminal |
| CN105872687A (en) * | 2016-03-31 | 2016-08-17 | 乐视控股（北京）有限公司 | Method and device for controlling intelligent equipment through voice |
| CN106098078A (en) * | 2016-06-14 | 2016-11-09 | 惠州Tcl移动通信有限公司 | A kind of audio recognition method that may filter that speaker noise and system thereof |
| CN106098054A (en) * | 2016-06-13 | 2016-11-09 | 惠州Tcl移动通信有限公司 | The defecator of speaker noise and method in a kind of speech recognition |
| CN107679196A (en) * | 2017-10-10 | 2018-02-09 | 中国移动通信集团公司 | A kind of multimedia recognition methods, electronic equipment and storage medium |
| KR20180069660A (en) * | 2016-12-15 | 2018-06-25 | 삼성전자주식회사 | Method and Apparatus for Voice Recognition |
| KR20190026518A (en) * | 2017-09-05 | 2019-03-13 | 엘지전자 주식회사 | Method for operating voice recognition apparatus |
| KR20190050761A (en) * | 2019-05-03 | 2019-05-13 | 엘지전자 주식회사 | Voice recognition apparatus |
| CN109949808A (en) * | 2019-03-15 | 2019-06-28 | 上海华镇电子科技有限公司 | The speech recognition appliance control system and method for compatible mandarin and dialect |
| WO2019153999A1 (en) * | 2018-02-09 | 2019-08-15 | 广景视睿科技（深圳）有限公司 | Voice control-based dynamic projection method, apparatus, and system |
-
2020
- 2020-10-22 CN CN202011138541.2A patent/CN112270930A/en active Pending
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1286329A1 (en) * | 2001-08-23 | 2003-02-26 | Culturecom Technology (Macau) Ltd. | Method and system for phonetic recognition |
| CN102638605A (en) * | 2011-02-14 | 2012-08-15 | 苏州巴米特信息科技有限公司 | Speech system for recognizing dialect background mandarin |
| CN103970731A (en) * | 2014-05-19 | 2014-08-06 | 无锡国澳实业有限公司 | Chinese semantic activity recognition method |
| CN105117034A (en) * | 2015-08-31 | 2015-12-02 | 任文 | Method for inputting Chinese speeches, positioning statements and correcting errors |
| CN105824861A (en) * | 2015-09-18 | 2016-08-03 | 维沃移动通信有限公司 | Audio recommending method and mobile terminal |
| CN105872687A (en) * | 2016-03-31 | 2016-08-17 | 乐视控股（北京）有限公司 | Method and device for controlling intelligent equipment through voice |
| CN106098054A (en) * | 2016-06-13 | 2016-11-09 | 惠州Tcl移动通信有限公司 | The defecator of speaker noise and method in a kind of speech recognition |
| CN106098078A (en) * | 2016-06-14 | 2016-11-09 | 惠州Tcl移动通信有限公司 | A kind of audio recognition method that may filter that speaker noise and system thereof |
| KR20180069660A (en) * | 2016-12-15 | 2018-06-25 | 삼성전자주식회사 | Method and Apparatus for Voice Recognition |
| KR20190026518A (en) * | 2017-09-05 | 2019-03-13 | 엘지전자 주식회사 | Method for operating voice recognition apparatus |
| CN107679196A (en) * | 2017-10-10 | 2018-02-09 | 中国移动通信集团公司 | A kind of multimedia recognition methods, electronic equipment and storage medium |
| WO2019153999A1 (en) * | 2018-02-09 | 2019-08-15 | 广景视睿科技（深圳）有限公司 | Voice control-based dynamic projection method, apparatus, and system |
| CN109949808A (en) * | 2019-03-15 | 2019-06-28 | 上海华镇电子科技有限公司 | The speech recognition appliance control system and method for compatible mandarin and dialect |
| KR20190050761A (en) * | 2019-05-03 | 2019-05-13 | 엘지전자 주식회사 | Voice recognition apparatus |
Non-Patent Citations (1)
| Title |
|---|
| 李育贤;李?;臧金环;: "车载语音交互技术发展现状及趋势展望", 智能网联汽车, no. 06 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116647634A (en) * | 2023-07-27 | 2023-08-25 | 河北跃创科技有限公司 | Broadcasting intercom terminal |
| CN116647634B (en) * | 2023-07-27 | 2024-03-12 | 河北跃创科技有限公司 | Broadcasting intercom terminal |
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