CN101334999A - Chinese speech recognizing system and method thereof - Google Patents
Chinese speech recognizing system and method thereof Download PDFInfo
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- CN101334999A CN101334999A CNA2008100436246A CN200810043624A CN101334999A CN 101334999 A CN101334999 A CN 101334999A CN A2008100436246 A CNA2008100436246 A CN A2008100436246A CN 200810043624 A CN200810043624 A CN 200810043624A CN 101334999 A CN101334999 A CN 101334999A
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Abstract
The invention discloses a Chinese speech recognition system which comprises a speech data reception unit, a digital to analog conversion unit, a speech data recognition unit and a business flow control unit in sequence, wherein, the speech data recognition unit comprises a speech database, a similar sound recognition module, and a fuzzy recognition module; the business flow control unit is used for controlling business flow according to the received speech information from the speech data recognition unit. The system effectively improves Chinese speech recognition rate by the development of speech recognition technology, such as 'key word recognition system', 'nickname, synonym and parasynonyms recognition', and 'fuzzy recognition', etc.
Description
Technical field
The invention belongs to the computer intelligence applied technical field, relate to a kind of speech recognition system, relate in particular to a kind of Chinese speech recognition system; The audio recognition method that also relates to a kind of above-mentioned Chinese speech recognition system simultaneously.
Background technology
Speech recognition technology is studied relatively early abroad, and technology is relatively ripe, has just begun to be applied to industries such as telecommunications, finance in the nineties.More well-known speech recognition product, as the Nuance speech recognition system, what this system adopted is the structure of client/server, can move on Windows and a lot of unix system, it can stretch flexibly, supports very little of very big application program.The Nuance system can support jumbo speech retrieval, natural language identification etc., has supported to comprise the speech recognition of twenties kinds of Chinese language.Though external speech recognition technology is very ripe, but also there are a lot of not enough places, discern as Chinese speech, at the Chinese language characteristics, processing as aspects such as natural language, key word, polyphones, and special aspects such as interactive voice requirement, also there are a lot of shortcomings and not enough.
Summary of the invention
Technical matters to be solved by this invention is: a kind of Chinese speech recognition system that can effectively simplify the interactive voice flow process, improve user's efficient is provided.
In addition, the present invention also provides a kind of audio recognition method of above-mentioned Chinese speech recognition system.
For solving the problems of the technologies described above, the present invention adopts following technical scheme:
A kind of Chinese speech recognition system comprises the speech data receiving element, D/A conversion unit, the speech data recognition unit that connect successively; Described speech data recognition unit comprises:
The keyword recognition module is in order to set the key word of particular type in the recognizing voice;
The natural-sounding identification module is in order to distinguish the content of natural language according to the key word after the described identification;
Speech database is in order to preserve the data message of sampled speech;
Similar sound identification module compares data message that receives voice and the data message in the described database, the confidence level of return results, if confidence level surpasses setting value, then this is discerned successfully;
The fuzzy diagnosis module when identification is not succeeded, selects the high voice of some discriminations to select for the user, perhaps points out the user to pronounce again.
As a preferred embodiment of the present invention, described speech data recognition unit also comprises synonym near synonym identification module, in order to synonym and the near synonym according to the data message recognizing voice in the described database.
As a preferred embodiment of the present invention, described recognition system also comprises the operation flow control module that is connected with the speech data recognition unit, in order to according to receive, from the voice messaging of described speech data recognition unit control operation flow.
As a preferred embodiment of the present invention, described operation flow control module comprises the module of chipping in, in order to discern user's voice in the process of carrying out in business; And then cooperate the user to enter corresponding service at the content of these voice.
As a preferred embodiment of the present invention, the interface of described system meets the NGN standard, directly is connected with the NGN network by this interface; Described system comprises service logic part and the call control department branch that is separated from each other.
As a preferred embodiment of the present invention, described speech data receiving element is arranged at identify customer end, and the speech data recognition unit is arranged at the identification service end; Described identification service end is sent to described identify customer end to the data after discerning.
As a preferred embodiment of the present invention, described speech recognition system comprises:
Access Layer comprises platform to connection module and terminal user's access module, and the platform access module is supported H.323 agreement and Session Initiation Protocol; The support of terminal user's access module H.323, the endpoint registration of SIP and MGCP type is to the TSV platform;
Call control layer is realized incoming call exhalation, call status analysis, call forwarding, recording playback sound, is received DTMF, switching is attended a banquet and call out relevant function, and with the service of communicating by letter and charge of accounting server;
Session layer mainly realizes the dialog procedure of user and system, comprises media, speech recognition sampled voice, the synthetic medium output function of text, and with the interface and the interaction process of speech-recognition services, the synthetic service of text;
The flow process analytic sheaf is mainly realized the flow process script analytical capabilities of Voice XML, according to the service request from the operation flow key-course, is controlling the user service flow journey;
The operation flow key-course in order to receive the service request from application server, through discriminatory analysis, consigns to the flow process analytic sheaf with this service request and handles.
The audio recognition method of above-mentioned Chinese speech recognition system comprises the steps:
Speech data receiving element in steps A, the identify customer end is gathered voice messaging;
Step B, described speech data receiving element convert the voice messaging of gathering to packet by described D/A conversion unit, are sent to the speech data recognition unit in the identification service end;
Step C, the identification of identification service end are handled through identification, obtain recognition result, return to identify customer end;
Step D, operation flow control module according to receive, from the voice messaging control operation flow of described speech data recognition unit;
Comprise the fuzzy diagnosis step among the step D, when identification is not succeeded, select the high voice of some discriminations to select, perhaps point out the user to pronounce again for the user.
As a preferred embodiment of the present invention, described step D comprises the identification user step of chipping in, and discerns user's voice in the process that business is carried out, and cooperates the user to enter corresponding service at the content of these voice.
Beneficial effect of the present invention is: Chinese speech recognition system provided by the invention, improved the extensibility and the multiple business integration capability of speech recognition system, and save hardware investment more than 50% than traditional mode simultaneously.In the use, the present invention is greatly easy professional control flow makes and sets up the various quick releases that both helped new business, has saved the system maintenance cost again.And adopt the voice synchronous technology to simplify the interactive voice flow process greatly, improve user's efficient.Simultaneously, by developing speech recognition technologies such as Chinese " keyword recognition system ", " pet name, the identification of synonym near synonym ", " fuzzy diagnosis ", improved the Chinese speech discrimination greatly.In addition,, realize " automatic fault tolerant " function by the IN process control technology, improved the automatic fault tolerant ability in the system voice identification.
Description of drawings
Fig. 1 is the composition synoptic diagram of Chinese speech recognition system of the present invention.
Fig. 2 is the process flow diagram of Chinese speech recognition methods of the present invention.
Fig. 3 is a natural language recognition result synoptic diagram.
Fig. 4 is similar sound identification synoptic diagram.
Fig. 5 is a voice call book process flow diagram.
Fig. 6 is the present invention and NGN interface connection diagram.
Fig. 7 is the Organization Chart of speech recognition system of the present invention.
Embodiment
Describe the preferred embodiments of the present invention in detail below in conjunction with accompanying drawing.
Embodiment one
See also Fig. 1, the present invention has disclosed a kind of Chinese speech recognition system, comprises the speech data receiving element, D/A conversion unit, speech data recognition unit, the operation flow control module that connect successively.
Described speech data recognition unit comprises speech database, similar sound identification module, fuzzy diagnosis module, keyword recognition module, natural-sounding identification module, synonym near synonym identification module.Speech database is in order to preserve the data message of sampled speech; Similar sound identification module compares data message that receives voice and the data message in the described database, the confidence level of return results, if confidence level surpasses setting value, then this is discerned successfully; When identification is not succeeded, select the high voice of some discriminations to select for the user, perhaps point out the user to pronounce again; The keyword recognition module is in order to set the key word of particular type in the recognizing voice; Wherein, the key word of setting comprises time, place, specific item; The natural-sounding identification module is in order to distinguish the content of natural language according to the key word after the described identification; Synonym near synonym identification module is in order to synonym and near synonym according to the data message recognizing voice in the described database, and synonym and near synonym are set in database.
Wherein, natural language identification is exactly to allow many groups ease of user dialogue in the past discern, and becomes to allow the user say a word to realize, for example, flight inquiring, the user inquires Flight Information by telephone, common practices, and system can ask, " what day ", " morning, afternoon still are the flight in evening ", " city of setting out ", " arrival city " etc.The user has finally obtained Query Result, but this process is too loaded down with trivial details, wastes time.If the user can say in short, as " inquiry Beijing in the morning on Friday is to the flight in Shanghai ", system can report Query Result to the user at once.The principle of Shi Xianing wherein, be the result of " identification of TSNS natural language " and " TSKS keyword matching " work compound, when importing at the user again, the TSSE recognition engine loads the dynamic syntax bag of this inquiry, comprise multinomial keyword sets such as time, place, action, target information, each keyword as the time, comprises Monday to Sunday, the morning, noon, evening etc.Thereby, in the words according to user's input, extract correspondent keyword earlier, mate, collect confidence level then, determine recognition result, finally realize the accurate acquisition and the judgement of information.
" similar sound identification " also is valuable feature of Chinese speech recognition system of the present invention, it realizes principle: by retrieving the Chinese corpus in the described speech database, at the confidence level of return results, and further judge the feasibility that allows the user select and realize conversation process.
Chinese speech discerns that two other key modules is exactly Chinese corpus and sound identification module in the other system, and this two modules and recognition engine collaborative work realize user speech identification.Chinese corpus is to have compiled the common data acquisition that has 1,600,000 times of Chinese, comprises the mandarin that is partly with accent, and the data acquisition amount is high more, and just high more to the result reliability of identification, common 400,000 times data acquisition just can guarantee to discern correct needs.When Chinese corpus, speech recognition modeling and recognition engine are worked together, gather and computational analysis through our lot of data, for Chinese information processing system, the end value that recognition engine is returned for identification (confidence level) reaches at 85 o'clock, determines that the sure and uniqueness of recognition result is 98%; If confidence value reaches 95, determine that the sure and uniqueness of recognition result is 99.8%; If confidence value reaches 65, determine that the sure and uniqueness of recognition result is 88%; By above data, in conjunction with the feasibility of practical application, in the present embodiment, confidence value reaches at 85 o'clock, and the actual value as a result of identification is correct.
The operation flow control module in order to according to receive, from the voice messaging of described speech data recognition unit control operation flow.The operation flow control module comprises the module of chipping in, and discerns user's voice in the process that business is carried out, and then cooperates the user to enter corresponding service at the content of these voice.Like this, the user need not to wait for loaded down with trivial details tediously long introduction to business, professional or other information that oneself need directly is described, and then conveniently enters this flow process.As in the banking service, the user need report the loss, and in the existing telephone service, the user need wait for that bank's end illustrates introduction to business that up to the step that selection occurs reporting the loss, process is more loaded down with trivial details one by one.And by this module of chipping in, after the user connected telephone bank, directly explanation " reporting the loss " after the speech data recognition unit is discerned this information, was transferred to operation flow control module control corresponding business flow process.
Described speech data receiving element is arranged at identify customer end, and the speech data recognition unit is arranged at the identification service end; Described identification service end is sent to described identify customer end to the data after discerning.In the present embodiment, the identification service end is provided with 2, if at a large amount of speech recognition application, the identification service end can be enabled more a plurality of, and by resource management, reasonable distribution identification service processing.
See also Fig. 2, the audio recognition method of above-mentioned Chinese speech recognition system comprises the steps:
Speech data receiving element in steps A, the identify customer end is gathered voice messaging;
Step B, described speech data receiving element convert the voice messaging of gathering to packet by described D/A conversion unit, are sent to the speech data recognition unit in the identification service end;
Step C, the identification of identification service end are handled through identification, obtain recognition result, return to identify customer end;
Step D, operation flow control module according to receive, from the voice messaging control operation flow of described speech data recognition unit;
Comprise the fuzzy diagnosis step among the step D, when identification is not succeeded, select the high voice of some discriminations to select, perhaps point out the user to pronounce again for the user.Described step D comprises the identification user step of chipping in, and discerns user's voice in the process that business is carried out, and cooperates the user to enter corresponding service at the content of these voice.
In addition, the present invention has also done following improvement: the interface of described system meets the NGN standard, directly is connected with the NGN network by this interface.Described system comprises service logic part and the call control department branch that is separated from each other.
In sum, Chinese speech recognition system provided by the invention has improved the extensibility and the multiple business integration capability of speech recognition system, saves hardware investment more than 50% than traditional mode simultaneously.In the use, the present invention is greatly easy professional control flow makes and sets up the various quick releases that both helped new business, has saved the system maintenance cost again.And adopt the voice synchronous technology to simplify the interactive voice flow process greatly, improve user's efficient.Simultaneously, by developing speech recognition technologies such as Chinese " keyword recognition system ", " pet name, the identification of synonym near synonym ", " fuzzy diagnosis ", improved the Chinese speech discrimination greatly.In addition,, realize " automatic fault tolerant " function by the IN process control technology, improved the automatic fault tolerant ability in the system voice identification.
Embodiment two---natural language understanding
General speech recognition application, all be based on conversational, for example, flight inquiring.The user inquires Flight Information by telephone, common practices, and system can ask, what day, the morning, afternoon still are the flight in evening, and big city etc. is arrived in the city of setting out.The user has finally obtained Query Result, but this process is too loaded down with trivial details, wastes time.If the user can say in short, as " inquiry Beijing in the morning on Friday is to the flight in Shanghai ", system can report Query Result to the user at once, and this convenience, simple process realize, have improved user's efficient undoubtedly greatly.Realized natural language understanding by technology such as key search, fuzzy matching for this, its process and result are as shown in Figure 3.
Embodiment three---similar sound identification
Chinese has a lot of similar sounds, and for the example of an automatic speech exchange, there is the close or approaching situation of a plurality of employee's name pronunciations in a company, is " Li Xiang " if any the position male employee, and the female employee is " Li Xiang ", also has other as Li Qiang, Li Xiang etc.If the user looks for Li Xiang, the recognition result of system discovery Li Xiang, Li Xiang is very approaching, has all surpassed empirical value (as 85), in view of the situation, after application flow is received the result, can not determine user's selection, but can further point out the user, man Li Xiang still is woman Li Xiang, if the user says man Li Xiang, system will be easy to judge recognition result, finish user's operation, as shown in Figure 4.Ask that perhaps the user is " Li Xiang " or " Li Xiang ", select for the user.
Embodiment four---fault-tolerant processing
In the identification application process, slightly unclear or weight is different in the time of seldom as user's voice input, cause recognition result wrong unavoidably, can make troubles to the user.Voice call book is as shown in Figure 5 used.
Li Xiang and two contact persons of Li Xiang are deposited in the user-phone book the inside, the user is for rapid and convenient, not carrying out similar sound handles, if hear the name that is not that the user says during call forwarding, at this moment, the user need not to hang up the telephone, and only need say " returning " or " wrong ", system can return upper level automatically, allows the user reselect.Both avoided misrouting connecing, and also allowed the user re-enter easily.More than be simple example, in application such as phonetic search, this fault-tolerant processing will embody very important value.
Embodiment five---system architecture
The Chinese speech recognition system adopts hierarchy, is respectively Access Layer, call control layer, session layer, flow process analytic sheaf and operation flow key-course from bottom to up, keeps communicating by letter with various external service or third-party product by the TCP/IP mode in addition.System construction drawing as shown in Figure 7.
1) Access Layer
Access Layer comprises platform to connection module and terminal user's access module, and the platform access module is supported H.323 agreement and Session Initiation Protocol; The support of terminal user's access module H.323, the endpoint registration of SIP and MGCP type is to the TSV platform.
2) call control layer
The various functions relevant such as call control layer is realized incoming call exhalation, call status analysis, call forwarding, recording playback sound, received DTMF, switching is attended a banquet with calling, and with the service of communicating by letter and charge of accounting server.
3) session layer
Session layer mainly realizes the dialog procedure of user and system, comprises functions such as media, speech recognition sampled voice, the synthetic medium output of text, and synthesizes the interface and the interaction process of serving with speech-recognition services, text.
4) flow process analytic sheaf
The flow process analytic sheaf is mainly realized the flow process script analytical capabilities of Voice XML, according to the service request from the operation flow key-course, is controlling the user service flow journey.
5) operation flow key-course
The operation flow key-course receives the service request from application server, through discriminatory analysis, this service request is consigned to the flow process analytic sheaf handle.
6) external interface module
External interface module mainly comprises application server (comprising database server and Web server), accounting server, speech recognition server, text synthesis server, content server, operator attendance, IP terminal, administers and maintains terminal etc.
7) with the NGN platform interface
Chinese speech recognition system and NGN platform interface, the main support H.323 and Session Initiation Protocol, connecting mode only needs network to connect and gets final product as shown in Figure 6, need not the hardware voice plate card, saves cost greatly.
Above embodiment is the unrestricted technical scheme of the present invention in order to explanation only.Any modification or partial replacement that does not break away from spirit and scope of the invention all should be encompassed in the middle of the claim scope of the present invention.
Claims (10)
1, a kind of Chinese speech recognition system comprises the speech data receiving element, D/A conversion unit, the speech data recognition unit that connect successively; It is characterized in that described speech data recognition unit comprises:
The keyword recognition module is in order to set the key word of particular type in the recognizing voice;
The natural-sounding identification module is in order to distinguish the content of natural language according to the key word after the described identification.
2, Chinese speech recognition system according to claim 1 is characterized in that: described speech data recognition unit also comprises:
Speech database is in order to preserve the data message of sampled speech;
Similar sound identification module compares data message that receives voice and the data message in the described database, the confidence level of return results, if confidence level surpasses setting value, then this is discerned successfully;
The fuzzy diagnosis module when identification is not succeeded, selects the high voice of some discriminations to select for the user, perhaps points out the user to pronounce again.
3, Chinese speech recognition system according to claim 2 is characterized in that: described speech data recognition unit also comprises synonym near synonym identification module, in order to synonym and the near synonym according to the data message recognizing voice in the described database.
4, Chinese speech recognition system according to claim 1, it is characterized in that: described recognition system also comprises the operation flow control module that is connected with the speech data recognition unit, in order to according to receive, from the voice messaging of described speech data recognition unit control operation flow.
5, Chinese speech recognition system according to claim 1 is characterized in that: described operation flow control module comprises the module of chipping in, in order to discern user's voice in the process of carrying out in business; And then cooperate the user to enter corresponding service at the content of these voice.
6, Chinese speech recognition system according to claim 1 is characterized in that: described speech recognition system is connected with the NGN network by a NGN communication protocol interface; Described system comprises service logic part and the call control department branch that is separated from each other.
7, Chinese speech recognition system according to claim 1 is characterized in that: described speech data receiving element is arranged at identify customer end, and the speech data recognition unit is arranged at the identification service end; Described identification service end is sent to described identify customer end to the data after discerning.
8, Chinese speech recognition system according to claim 1, it is characterized in that: described speech recognition system comprises:
Access Layer comprises platform to connection module and terminal user's access module, and the platform access module is supported H.323 agreement and Session Initiation Protocol; The support of terminal user's access module H.323, the endpoint registration of SIP and MGCP type is to the TSV platform;
Call control layer is realized incoming call exhalation, call status analysis, call forwarding, recording playback sound, is received DTMF, switching is attended a banquet and call out relevant function, and with the service of communicating by letter and charge of accounting server;
Session layer mainly realizes the dialog procedure of user and system, comprises media, speech recognition sampled voice, the synthetic medium output function of text, and with the interface and the interaction process of speech-recognition services, the synthetic service of text;
The flow process analytic sheaf is mainly realized the flow process script analytical capabilities of Voice XML, according to the service request from the operation flow key-course, is controlling the user service flow journey;
The operation flow key-course in order to receive the service request from application server, through discriminatory analysis, consigns to the flow process analytic sheaf with this service request and handles.
9, the audio recognition method of any described Chinese speech recognition system of claim 1 to 8 is characterized in that, this recognition methods comprises the steps:
Speech data receiving element in steps A, the identify customer end is gathered voice messaging;
Step B, described speech data receiving element convert the voice messaging of gathering to packet by described D/A conversion unit, are sent to the speech data recognition unit in the identification service end;
Step C, the identification of identification service end are handled through identification, obtain recognition result, return to identify customer end;
Step D, operation flow control module according to receive, from the voice messaging control operation flow of described speech data recognition unit;
Comprise the fuzzy diagnosis step among the step D, when identification is not succeeded, select the high voice of some discriminations to select, perhaps point out the user to pronounce again for the user.
10, audio recognition method according to claim 9 is characterized in that: described step D comprises the identification user step of chipping in, and discerns user's voice in the process that business is carried out, and cooperates the user to enter corresponding service at the content of these voice.
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| CN102063902A (en) * | 2010-11-04 | 2011-05-18 | 黄安祥 | High-efficient voice instruction recognition method based on fuzzy theory and expert system |
| CN102737631A (en) * | 2011-04-15 | 2012-10-17 | 富泰华工业（深圳）有限公司 | Electronic device and method for interactive speech recognition |
| CN104021186A (en) * | 2014-06-13 | 2014-09-03 | 中国民航信息网络股份有限公司 | Dynamic intelligent flight information query system and method based on voice recognition |
| CN104681026A (en) * | 2013-11-27 | 2015-06-03 | 夏普株式会社 | Voice Recognition Terminal, Server, Method Of Controlling Server, Voice Recognition System,non-transitory Storage Medium |
| CN105137789A (en) * | 2015-08-28 | 2015-12-09 | 青岛海尔科技有限公司 | Control method and device of intelligent IoT electrical appliances, and related devices |
| CN105827504A (en) * | 2015-11-30 | 2016-08-03 | 维沃移动通信有限公司 | Voice information transmission method, mobile terminal and system |
| CN107329952A (en) * | 2017-06-15 | 2017-11-07 | 重庆柚瓣科技有限公司 | A kind of suitable aging semantic understanding method |
| CN107656998A (en) * | 2017-09-20 | 2018-02-02 | 深圳市大掌柜商业智能有限公司 | A kind of POS commodity based on voice technology change valency method |
| CN107767856A (en) * | 2017-11-07 | 2018-03-06 | 中国银行股份有限公司 | A kind of method of speech processing, device and server |
| CN109213777A (en) * | 2017-06-29 | 2019-01-15 | 杭州九阳小家电有限公司 | A kind of voice-based recipe processing method and system |
| CN109920426A (en) * | 2019-04-04 | 2019-06-21 | 中科云创(厦门)科技有限公司 | Equipment operation flow control method and system based on intelligent sound |
| CN110364165A (en) * | 2019-07-18 | 2019-10-22 | 青岛民航凯亚系统集成有限公司 | Flight dynamic information voice inquiry method |
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| CN102063902A (en) * | 2010-11-04 | 2011-05-18 | 黄安祥 | High-efficient voice instruction recognition method based on fuzzy theory and expert system |
| CN102737631A (en) * | 2011-04-15 | 2012-10-17 | 富泰华工业（深圳）有限公司 | Electronic device and method for interactive speech recognition |
| CN104681026A (en) * | 2013-11-27 | 2015-06-03 | 夏普株式会社 | Voice Recognition Terminal, Server, Method Of Controlling Server, Voice Recognition System,non-transitory Storage Medium |
| CN104021186A (en) * | 2014-06-13 | 2014-09-03 | 中国民航信息网络股份有限公司 | Dynamic intelligent flight information query system and method based on voice recognition |
| CN105137789A (en) * | 2015-08-28 | 2015-12-09 | 青岛海尔科技有限公司 | Control method and device of intelligent IoT electrical appliances, and related devices |
| CN105827504A (en) * | 2015-11-30 | 2016-08-03 | 维沃移动通信有限公司 | Voice information transmission method, mobile terminal and system |
| CN107329952A (en) * | 2017-06-15 | 2017-11-07 | 重庆柚瓣科技有限公司 | A kind of suitable aging semantic understanding method |
| CN109213777A (en) * | 2017-06-29 | 2019-01-15 | 杭州九阳小家电有限公司 | A kind of voice-based recipe processing method and system |
| CN107656998A (en) * | 2017-09-20 | 2018-02-02 | 深圳市大掌柜商业智能有限公司 | A kind of POS commodity based on voice technology change valency method |
| CN107767856A (en) * | 2017-11-07 | 2018-03-06 | 中国银行股份有限公司 | A kind of method of speech processing, device and server |
| CN107767856B (en) * | 2017-11-07 | 2021-11-19 | 中国银行股份有限公司 | Voice processing method and device and server |
| CN109920426A (en) * | 2019-04-04 | 2019-06-21 | 中科云创(厦门)科技有限公司 | Equipment operation flow control method and system based on intelligent sound |
| CN110364165A (en) * | 2019-07-18 | 2019-10-22 | 青岛民航凯亚系统集成有限公司 | Flight dynamic information voice inquiry method |
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