CN101740031A - Network dynamic load balancing-based voiceprint recognition system and recognition method thereof - Google Patents
Network dynamic load balancing-based voiceprint recognition system and recognition method thereof Download PDFInfo
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Abstract
The invention relates to a network dynamic load balancing-based voiceprint recognition system, which comprises a voiceprint client used for acquiring the voice generated by a user, wherein the voiceprint client is communicated with a load balancing server; the load balancing server used for searching an optimized voiceprint recognition server is communicated with a voiceprint recognition server group, wherein the voiceprint recognition server group consists of at least two voiceprint recognition servers; and the optimized voiceprint recognition server feeds back a recognition result to the voiceprint client. The invention also discloses a recognition method for the network dynamic load balancing-based voiceprint recognition system. The optimized voiceprint recognition server is searched by the load balancing server, dynamic allocation is carried out on the traffic and voiceprint recognition server cluster automatically, the problems of real-time response of the identity recognition of a speaker and the system safety under the large-scale concurrency condition are solved, and the requirement on the voiceprint recognition with various scales and various concurrency values can be completely met.
Description
Technical field
The present invention relates to the Application on Voiceprint Recognition field, especially a kind of Application on Voiceprint Recognition system of dynamic load leveling Network Based.
Background technology
Along with the continuous progress of all kinds of science and technology, safety issue also more and more comes into one's own.Because vocal print is different from the other biological recognition technology, as fingerprint recognition, palmmprint identification, iris recognition etc., vocal print has and is difficult to lose or forgets, need not memory, economic dispatch advantage easy to use, safe, the safety verification that is particularly useful for remote service, as seen these advantages all can become the foundation stone of Application on Voiceprint Recognition widespread use.Recent years, the judiciary of countries in the world all begins to accept the vocal print evidence.In the U.S., existing 7/8ths court of appealing, state admits that vocal print can be used as court evidence, and the martial court of the U.S. also adopts vocal print as evidence.Vocal print is identified in national security community, judiciary and financial institution at present all urgent demand.Vocal print is also brought into use in the production environment of reality as important identity recognizing technology means.
A typical Application on Voiceprint Recognition flow process comprises the function of three aspects: the first, and the vocal print registration, the sound characteristic that is about to a people is preserved, as the reference data of follow-up identification; The second, vocal print is confirmed, speaker's voice extraction feature and the sound-groove model that registration is good are before compared, and confirms whether the speaker is its identity that shows; The 3rd, vocal print differentiates with speaker's voice extraction feature, search in a registered good vocal print set afterwards is to confirm which sound-groove model that belongs to of speaker.
Yet, for the parallel Application on Voiceprint Recognition of continuous large-scale, existing systems does not have the real-time of the next abundant assurance of good method system and the dynamic load of server, this problem can be more general in the large-scale pooled applications such as similar bank of reality, the user can run into waits for too long, and system is difficult to the problem of dilatation.Generally solve the problems referred to above by third-party load plug-in unit at present, this load plug-in unit is not to formulate at the characteristic of Application on Voiceprint Recognition, can't well deal with problems, simultaneously can't good cross-platform operation.
Summary of the invention
Primary and foremost purpose of the present invention is to provide that a kind of extendability is strong, the Application on Voiceprint Recognition system of dynamic load leveling Network Based that can equally loaded.
For achieving the above object, the present invention has adopted following technical scheme: a kind of Application on Voiceprint Recognition system of dynamic load leveling Network Based, comprise and be used for vocal print client that the sound that the user sends is gathered, vocal print client and load-balanced server communication, be used to search the load-balanced server and the communication of Application on Voiceprint Recognition group of server of optimum Application on Voiceprint Recognition server, the Application on Voiceprint Recognition group of server is made up of at least two Application on Voiceprint Recognition servers, and optimum Application on Voiceprint Recognition server feeds back to the vocal print client with recognition result.
Another object of the present invention is to provide a kind of recognition methods of Application on Voiceprint Recognition system of dynamic load leveling Network Based, this method comprises the step of following order:
(1) the vocal print client receives the voice that the user sends, and searches optimum Application on Voiceprint Recognition server by load-balanced server, and load-balanced server sends user voice data to this optimum Application on Voiceprint Recognition server;
(2) optimum Application on Voiceprint Recognition server is handled user voice data, and recognition result is fed back to the vocal print client.
As shown from the above technical solution, the present invention not only provides the vocal print registration of core, confirm and identification function, support the load of parallel and a plurality of services of these functions simultaneously, utilize load-balanced server to search optimum Application on Voiceprint Recognition server, automatically flow harmony line identified server cluster is carried out dynamic assignment, solve the real-time response and the security of system of speaker ' s identity identification under the large-scale concurrent condition, can satisfy the Application on Voiceprint Recognition demand of various scales and various concurrency fully, the system that makes can online very easily dilatation and multi-platform deployment, thereby provides powerful technical support for the large-scale application of Application on Voiceprint Recognition.
Description of drawings
Fig. 1 is a circuit structure block diagram of the present invention;
Fig. 2 is a workflow diagram of the present invention;
Fig. 3 is a network architecture synoptic diagram of the present invention;
The workflow diagram that Fig. 4,5,6 is respectively voice registration among the present invention, voice are confirmed and voice are differentiated.
Embodiment
A kind of Application on Voiceprint Recognition system of dynamic load leveling Network Based, comprise and be used for vocal print client 10 that the sound that the user sends is gathered, vocal print client 10 and load-balanced server 20 communications, be used to search the load-balanced server 20 and 30 communications of Application on Voiceprint Recognition group of server of optimum Application on Voiceprint Recognition server 32, Application on Voiceprint Recognition group of server 30 is made up of at least two Application on Voiceprint Recognition servers 31, between each vocal print server 31 is reciprocity, and can expand, unified saving the data on the same voice print database server 50, each vocal print server 31 visits voice print database server 50 by the unified access interface of voice print database server 50, optimum Application on Voiceprint Recognition server 32 feeds back to vocal print client 10 with recognition result, as Fig. 1, shown in 3.
In conjunction with Fig. 1,3, the interface module 31a that described Application on Voiceprint Recognition server 31 comprises directly and load-balanced server 20 carries out communication, interface module 31a is connected with the memory module 31c that is used for voice data is stored with the speech processing module 31b that is used for the sound that the user sends is handled respectively, interface module 31a calls speech processing module 31b and memory module 31c's, by calling calculating, preservation, inquiry and the identification of finishing vocal print.
In conjunction with Fig. 1,3, described load-balanced server 20 comprises a main load-balanced server 21 and at least one auxilliary load-balanced server 22, main load-balanced server 21 and 30 communications of Application on Voiceprint Recognition group of server, and search optimum Application on Voiceprint Recognition server 32, discern by 32 pairs of user speech of optimum Application on Voiceprint Recognition server, auxilliary load-balanced server 22 detects main load-balanced server 21 do not work after, the auxilliary load-balanced server 22 of one of them upgrades to main load-balanced server 21, to guarantee continuous, the stable operation of service.
In conjunction with Fig. 1,3, the information of described load-balanced server 20 all Application on Voiceprint Recognition servers 31 of load poll, as cpu take, information such as the available way of vocal print mandate and EMS memory occupation, then according to a configurable weight, calculate the score and the ordering of each Application on Voiceprint Recognition server 31, offer vocal print client 10 then.Wherein, the available way of vocal print mandate is meant to carry out how much people's identification simultaneously, be an important symbol judging that Application on Voiceprint Recognition server 31 can be used simultaneously, can avoid under the situation that a lot of clients visit simultaneously identification taking place assembles, for the lasting acquisition of serving provides good guarantee, the available way of vocal print mandate is by software set.Vocal print client 10 need not to know the address of concrete Application on Voiceprint Recognition server 31 on the network, only need be when connecting query load equalization server 20 at first, load-balanced server 20 can return an optimum Application on Voiceprint Recognition server 32 in real time and give vocal print client 10.Simultaneously in order to monitor the Application on Voiceprint Recognition servers 31 all on the whole network and the various situations of vocal print client 10, also be provided with a service watch instrument SPC 40, operation service adviser tool SPC 40, the system manager can manage whole vocal print service system, and total system operates on the environment of gigabit LAN.
Below in conjunction with Fig. 1,2,3,4,5,6 the present invention is described further.
When work, at first vocal print client 10 receives the voice that the user sends, and search optimum Application on Voiceprint Recognition server 32 by load-balanced server 20, optimum Application on Voiceprint Recognition server 32 is meant the most idle Application on Voiceprint Recognition server 31, after finding optimum Application on Voiceprint Recognition server 32, load-balanced server 20 sends a request to this optimum Application on Voiceprint Recognition server 32, and sends the user's voice data to this optimum Application on Voiceprint Recognition server 32.Optimum Application on Voiceprint Recognition server 32 response request, accept the user's voice data, and calling interface module 31a, interface module 31a is according to the type of user's request, comprise three kinds of request types in the present invention: registration, affirmation and discriminating, read user's related data information by memory module 31c, call the correlation computations that speech processing module 31b carries out model then, and the former road of result of calculation is back to vocal print client 10, finish once typical Application on Voiceprint Recognition funcall.
When carrying out the voice registration, the registering functional of optimum Application on Voiceprint Recognition server 32 calling interface module 31a, speech processing module 31b carries out pre-service to voice, described pre-service comprises quiet section in the deletion voice, white noise in the deletion audio frequency, to format conversion of voice etc., wherein, to the format conversion of voice such as being with VOX, alaw non-pcm formatted voice such as ulaw convert the pcm form to, pretreated voice are extracted feature according to certain algorithm, feature after the extraction is by calculating the user's voice model, memory module 31c stores in model database speech model and user's relevant information, and user's relevant information is user's ID, user's sex etc.
When carrying out the voice affirmation, the affirmation function of optimum Application on Voiceprint Recognition server 32 calling interface module 31a, speech processing module 31b carries out pre-service equally to voice, pretreated voice are extracted feature according to certain algorithm, the speech model that this extraction feature and memory module 31c are stored is compared and is given a mark, if mark is higher than preset threshold, then thinks same people, otherwise, then be not same people.
When carrying out the voice discriminating, the identification function of optimum Application on Voiceprint Recognition server 32 calling interface module 31a, speech processing module 31b carries out pre-service equally to voice, pretreated voice are extracted feature according to certain algorithm, this extraction feature and all users' that will differentiate model are compared one by one, and the ordering that counts the score, if the first place score is higher than preset threshold, then the speaker is exactly the user of first place, otherwise then explanation changes voice and do not belong among the user anyone.
In sum, the invention provides comprehensive Application on Voiceprint Recognition function,, adopted dynamic load leveling to come unified management in order to satisfy the application of these functions in enterprise, promote the stability of total system greatly, reduced the response time under the large-scale concurrent simultaneously.The invention enables Application on Voiceprint Recognition to obtain bigger development space and chance in security fields, can also can allow more people be familiar with and approve this easy-to-use new safety certification mode simultaneously.
Claims (10)
1. the Application on Voiceprint Recognition system of a dynamic load leveling Network Based, it is characterized in that: comprise being used for vocal print client that the sound that the user sends is gathered, vocal print client and load-balanced server communication, be used to search the load-balanced server and the communication of Application on Voiceprint Recognition group of server of optimum Application on Voiceprint Recognition server, the Application on Voiceprint Recognition group of server is made up of at least two Application on Voiceprint Recognition servers, and optimum Application on Voiceprint Recognition server feeds back to the vocal print client with recognition result.
2. the Application on Voiceprint Recognition system of dynamic load leveling Network Based according to claim 1, it is characterized in that: the interface module that described Application on Voiceprint Recognition server comprises directly and load-balanced server carries out communication, interface module is connected with the memory module that is used for voice data is stored with the speech processing module that is used for the sound that the user sends is handled respectively.
3. the Application on Voiceprint Recognition system of dynamic load leveling Network Based according to claim 1, it is characterized in that: described load-balanced server comprises a main load-balanced server and at least one auxilliary load-balanced server, main load-balanced server and the communication of Application on Voiceprint Recognition group of server.
4. the recognition methods of the Application on Voiceprint Recognition system of dynamic load leveling Network Based according to claim 1, this method comprises the step of following order:
(1) the vocal print client receives the voice that the user sends, and searches optimum Application on Voiceprint Recognition server by load-balanced server, and load-balanced server sends user voice data to this optimum Application on Voiceprint Recognition server;
(2) optimum Application on Voiceprint Recognition server is handled user voice data, and recognition result is fed back to the vocal print client.
5. the recognition methods of the Application on Voiceprint Recognition system of dynamic load leveling Network Based according to claim 4, it is characterized in that: described load-balanced server comprises a main load-balanced server and at least one auxilliary load-balanced server, main load-balanced server and the communication of Application on Voiceprint Recognition group of server, and search optimum Application on Voiceprint Recognition server, by optimum Application on Voiceprint Recognition server user speech is discerned, auxilliary load-balanced server detects main load-balanced server do not work after, the auxilliary load-balanced server of one of them upgrades to main load-balanced server, the interface module that described Application on Voiceprint Recognition server comprises directly and load-balanced server carries out communication, interface module is connected with the memory module that is used for voice data is stored with the speech processing module that is used for the sound that the user sends is handled respectively.
6. the recognition methods of the Application on Voiceprint Recognition system of dynamic load leveling Network Based according to claim 5, it is characterized in that: when carrying out the voice registration, the registering functional of optimum Application on Voiceprint Recognition server calls interface module, speech processing module is carried out pre-service to voice, pretreated voice are extracted feature according to certain algorithm, feature after the extraction is by calculating the user's voice model, and memory module is stored speech model and user's relevant information.
7. the recognition methods of the Application on Voiceprint Recognition system of dynamic load leveling Network Based according to claim 6, it is characterized in that: when carrying out the voice affirmation, the affirmation function of optimum Application on Voiceprint Recognition server calls interface module, speech processing module is carried out pre-service to voice, pretreated voice are extracted feature according to certain algorithm, the speech model that this extraction feature and memory module are stored is compared and is given a mark, if mark is higher than preset threshold, then think same people, otherwise, then be not same people.
8. the recognition methods of the Application on Voiceprint Recognition system of dynamic load leveling Network Based according to claim 5, it is characterized in that: when carrying out the voice discriminating, the identification function of optimum Application on Voiceprint Recognition server calls interface module, speech processing module is carried out pre-service to voice, pretreated voice are extracted feature according to certain algorithm, this extraction feature and all users' that will differentiate model are compared one by one, and the ordering that counts the score, if the first place score is higher than preset threshold, then the speaker is exactly the user of first place, otherwise then explanation changes voice and does not belong among the user anyone.
9. according to the recognition methods of the Application on Voiceprint Recognition system of claim 6 or 7 or 8 described dynamic load levelings Network Based, it is characterized in that: described user's relevant information is user's ID, user's a sex.
10. according to the recognition methods of the Application on Voiceprint Recognition system of claim 6 or 7 or 8 described dynamic load levelings Network Based, it is characterized in that: described pre-service comprises the white noise in format conversion to voice, the deletion voice quiet section, deletion audio frequency.
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101950564A (en) * | 2010-10-13 | 2011-01-19 | 镇江华扬信息科技有限公司 | Remote digital voice acquisition, analysis and identification system |
| CN102347060A (en) * | 2010-08-04 | 2012-02-08 | 鸿富锦精密工业（深圳）有限公司 | Electronic recording device and method |
| CN103325371A (en) * | 2013-06-05 | 2013-09-25 | 杭州网豆数字技术有限公司 | Voice recognition system and method based on cloud |
| CN103903622A (en) * | 2012-12-28 | 2014-07-02 | 腾讯科技（深圳）有限公司 | Voice verification method, apparatus and system |
| CN103971687A (en) * | 2013-02-01 | 2014-08-06 | 腾讯科技（深圳）有限公司 | Method and device for realizing load balance of voice recognition system |
| CN104732972A (en) * | 2015-03-12 | 2015-06-24 | 广东外语外贸大学 | HMM voiceprint recognition signing-in method and system based on grouping statistics |
| CN105872011A (en) * | 2015-08-02 | 2016-08-17 | Adex创新有限公司 | Enabled equipment information exchange system and method |
| CN109819057A (en) * | 2019-04-08 | 2019-05-28 | 科大讯飞股份有限公司 | A kind of load-balancing method and system |
| CN110691118A (en) * | 2019-08-30 | 2020-01-14 | 许昌许继软件技术有限公司 | Service selection method and device in micro-service cluster |
| CN111048100A (en) * | 2019-11-21 | 2020-04-21 | 深圳市东进银通电子有限公司 | Big data parallelization voiceprint recognition system and method |
| CN112231510A (en) * | 2020-12-17 | 2021-01-15 | 北京远鉴信息技术有限公司 | Voiceprint storage method, voiceprint query method, server and storage medium |
| CN113724711A (en) * | 2021-09-01 | 2021-11-30 | 云从科技集团股份有限公司 | Method, device, system, medium and equipment for realizing voice recognition service |
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2010
- 2010-01-21 CN CN201010046573XA patent/CN101740031B/en active Active
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102347060A (en) * | 2010-08-04 | 2012-02-08 | 鸿富锦精密工业（深圳）有限公司 | Electronic recording device and method |
| CN101950564A (en) * | 2010-10-13 | 2011-01-19 | 镇江华扬信息科技有限公司 | Remote digital voice acquisition, analysis and identification system |
| CN103903622A (en) * | 2012-12-28 | 2014-07-02 | 腾讯科技（深圳）有限公司 | Voice verification method, apparatus and system |
| CN103971687B (en) * | 2013-02-01 | 2016-06-29 | 腾讯科技（深圳）有限公司 | Implementation of load balancing in a kind of speech recognition system and device |
| CN103971687A (en) * | 2013-02-01 | 2014-08-06 | 腾讯科技（深圳）有限公司 | Method and device for realizing load balance of voice recognition system |
| CN103325371A (en) * | 2013-06-05 | 2013-09-25 | 杭州网豆数字技术有限公司 | Voice recognition system and method based on cloud |
| CN104732972A (en) * | 2015-03-12 | 2015-06-24 | 广东外语外贸大学 | HMM voiceprint recognition signing-in method and system based on grouping statistics |
| CN104732972B (en) * | 2015-03-12 | 2018-02-27 | 广东外语外贸大学 | A kind of HMM Application on Voiceprint Recognition based on classified statistics is registered method and system |
| CN105872011A (en) * | 2015-08-02 | 2016-08-17 | Adex创新有限公司 | Enabled equipment information exchange system and method |
| CN109819057A (en) * | 2019-04-08 | 2019-05-28 | 科大讯飞股份有限公司 | A kind of load-balancing method and system |
| CN110691118A (en) * | 2019-08-30 | 2020-01-14 | 许昌许继软件技术有限公司 | Service selection method and device in micro-service cluster |
| CN111048100A (en) * | 2019-11-21 | 2020-04-21 | 深圳市东进银通电子有限公司 | Big data parallelization voiceprint recognition system and method |
| CN111048100B (en) * | 2019-11-21 | 2023-09-08 | 深圳市东进银通电子有限公司 | Big data parallelization voiceprint recognition system and method |
| CN112231510A (en) * | 2020-12-17 | 2021-01-15 | 北京远鉴信息技术有限公司 | Voiceprint storage method, voiceprint query method, server and storage medium |
| CN113724711A (en) * | 2021-09-01 | 2021-11-30 | 云从科技集团股份有限公司 | Method, device, system, medium and equipment for realizing voice recognition service |
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