CN106205613B - A kind of navigation audio recognition method and system - Google Patents
A kind of navigation audio recognition method and system Download PDFInfo
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- CN106205613B CN106205613B CN201610587485.8A CN201610587485A CN106205613B CN 106205613 B CN106205613 B CN 106205613B CN 201610587485 A CN201610587485 A CN 201610587485A CN 106205613 B CN106205613 B CN 106205613B
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; 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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
Abstract
The present invention provides a kind of navigation audio recognition method and system, the navigation audio recognition method is the following steps are included: the voice messaging that client is received carries out speech recognition by speech engine；Background data base is retrieved according to identification region to the result of speech recognition, is recorded if there is corresponding data, then recognition result is returned into client；Such as there is no corresponding datas to record, then from data in the default territorial scope of searching in local data base, with recognition result similarity greater than preset value, if there is similarity greater than preset value as a result, the result that similarity is greater than preset value is then recommended user according to frequency of use descending；If locally without similarity be greater than preset value as a result, if return it in background server database, according to all records of similarity descending sort, be back to client.Technical solution of the present invention can recommend closer to user's input as a result, reducing search time according to recognition result.
Description
Technical field
The invention belongs to technical field of voice recognition more particularly to a kind of navigation audio recognition method and systems.
Background technique
Speech recognition technology is one of the development in science and technology technology that information technology field ten is important greatly nearly ten years, main to apply
In phonetic dialing, Voice Navigation, indoor equipment control, phonetic search, dictation data inputting etc..Speech recognition technology generally comprises
Acoustic model and language model, acoustic model is responsible for completing the conversion of voice to phoneme, wherein the sound in the voice such as English
The sound of mark and the phonetic in Chinese is female；Language model is responsible for completing the conversion of phoneme to text, and the two cooperation is completed voice and arrived
The identification process of text.
General in the prior art there are three types of speech recognition technologies: the first is the speech recognition skill based on cloud identification engine
Art, second is the speech recognition technology based on local speech recognition engine, the third is to be drawn simultaneously based on local voice identification
Hold up the speech recognition technology with cloud identification engine.But regardless of any one of the above speech recognition is used, since voice is known
Other process is intelligent, it may appear that the case where unisonance difference word, therefore just will appear multiple recognition results.When there are multiple identifications
When as a result, being ranked up to recognition result is particularly important.In the prior art be usually by recognition result according to similarity by
The recognition result of high to Low sequence returns to user.In addition, existing speech recognition engine discrimination is low, big portion under normal environment
Recognition result is divided to differ larger with expected result.Furthermore it while being returned to according to the recognition result that similarity sorts from high to low
User can to pronounce non-type user to require to take much time every time and look for required recognition result.
Summary of the invention
Against the above technical problems, the invention discloses a kind of navigation audio recognition method and system, pass through specific identification
Region and the analysis of speech engine recognition result, and obtain the result closer to input voice.
In this regard, the technical solution adopted by the present invention are as follows:
A kind of navigation audio recognition method comprising following steps:
Step S1: the voice messaging that client is received carries out speech recognition by speech engine；
Step S2: background data base is retrieved according to identification region to the result of step S1 speech recognition, if there is correspondence
Data record, then return to client for recognition result, and identification is completed；
It records, is then tied from the default territorial scope of searching in local data base and identification if there is no corresponding data
Fruit similarity is greater than the data of preset value, if there is similarity greater than preset value as a result, being then greater than the similarity pre-
If the data of value recommend user according to frequency of use descending sort；If be greater than in the local database without similarity default
The recognition result is then back in background server database by the data of value, and background server calculates background server number
According to the similarity of records and recognition result all in library, according to all records of similarity descending sort, and ranking results are returned
To client；Wherein, the similar data refer to the data for being greater than default similarity；
Data as being also not greater than default similarity in background server database, then this speech recognition errors, and
Feed back to client.
Wherein, local data base refers to the included storing data library of equipment.
It adopts this technical solution, realizes the identification to speech recognition through a variety of ways, and obtain in conjunction with specific identification region
Take closer to input voice as a result, reducing search time.
As a further improvement of the present invention, in step S2, first choice judges the result of step S1 speech recognition, is
No is effectively as a result, then being retrieved.Adopt this technical solution, first to recognition result carry out preliminary analysis, see whether be
Effectively as a result, if it is not, then no longer carry out the retrieval of next step, makes result feedback faster, save the waste of unnecessary time.
As a further improvement of the present invention, in step S2, if there is similarity greater than preset value as a result, then by it
User is recommended according to frequency of use descending sort, and obtains user current location information, according to territorial scope garbled data, instead
It is fed to client.It adopts this technical solution, is analyzed in conjunction with user current location information, so that the result of discriminance analysis is more
Accurately.
As a further improvement of the present invention, in step S2, if it is not similar in the local database as a result, if
The recognition result is back in background server database, server calculate in background server database it is all record with
The similarity of recognition result is back to client according to all records of similarity descending sort, and by ranking results, and obtains use
Family current location information feeds back to client according to territorial scope garbled data.
As a further improvement of the present invention, in step S2, as being also not greater than default phase in background server database
Like the data of degree, then this speech recognition errors, and feed back to client, while inform user re-enter voice messaging or
Determiner or expansion word is added.
As a further improvement of the present invention, in step S2, the default similarity is not less than 50%.
The invention also discloses a kind of speech recognition system, the speech recognition system includes speech reception module, voice
Identification module, local data base, communication module, background server and sending module；Wherein, the speech reception module, is used for
Receive the voice messaging that client is sent；The speech recognition module, for voice messaging to be retrieved backstage according to identification region
Server data library lookup corresponding data record, or in territorial scope and recognition result is preset from finding in local data base
Similar data；The recognition result is then back to background server for connecting with background server by the communication module
In database；The background server, it is similar to recognition result for calculating all records in background server database
Degree, according to all records of similarity descending sort；Sending module, for ranking results to be back to client.
Compared with prior art, the invention has the benefit that
It using technical solution of the present invention, is analyzed, and is obtained more by specific identification region and speech engine recognition result
Close to input voice as a result, reduction search time, more convenient to use.Technical solution of the present invention can be applied in each need
It wants on the platform of speech recognition, especially intelligent terminal.
Detailed description of the invention
Fig. 1 is the flow chart of an embodiment of the present invention.
Specific embodiment
With reference to the accompanying drawing, preferably embodiment of the invention is described in further detail.
A kind of navigation audio recognition method, as shown in Figure 1, after obtaining recognition result using third party's speech engine first,
It retrieves and sees with the presence or absence of corresponding note in platform server database after passing through in the identification of the voice content according to selected by user region
Record, i.e., identical record；If it exists, then the recognition result obtained speech engine is sent to client；Such result is only
Only one recognition result corresponds to a data in background server searching database；If comparing nothing in the result and database of identification
It is identical, then it is assumed that recognition result is there are certain falsehood, while concurrent sending voice recognition result, reports to client knowledge
There are falsehoods to enter simultaneously in next step for other result；Then in default territorial scope and recognition result is found in the local database
Then similar data recommend user with the arrangement of frequency of use descending, reduce user's search time；Wherein, described close
As data refer to the data for being greater than default similarity.In addition, if finding in the local database similar less than greater than presetting
The recognition result is then back in background server retrieval data by the data of degree, and background server calculates institute in database
There is the similarity of record and recognition result, according to all records of similarity descending sort, and ranking results is back to client.
As background server database is equally also found less than the data for being greater than default similarity, then it is assumed that this speech recognition errors,
And client is fed back to, it reminds user to re-enter voice messaging or determiner or expansion word is added.
For example, user is at requiring to navigate to Guangzhou Guang Zhouta, it is preset in Chengdu input voice " Guang Zhouta "
Territorial scope is that districts under city administration are the place name for only searching for Chengdu, then can not search number corresponding with " Guang Zhouta " on backstage
According to；It then searches in the local database in next step, as there is " optical axis tower " " Guang Zhouta " and " stroll week it " in local data base
" Guang Zhouta ", frequency are respectively A, B, C and D, D > C > B > A, then the information being presented to the user is to be followed successively by from top to bottom
" Guang Zhouta ", " stroll week it ", " Guang Zhouta ", " optical axis tower " facilitates client to choose, identifies successfully.
If the preset similarity of local data base is greater than 50%, and its recognition result " Guang Zhouta " can not find phase therewith
It is greater than 50% data like degree, is retrieved then recognition result " Guang Zhouta " is fed back in background server database, passes through backstage
Server calculates all records and the similarities of recognition result in database, by similarity be more than preset threshold data according to
All records of similarity descending sort, and ranking results are back to client.
The similarity of all records and recognition result in database is such as calculated by server-side, similarity is respectively less than pre-
If threshold value, then recognition failures, then feeding back to user's secondary voice input error, and prompt user to replace voice or addition
Determiner or expansion word, such as Chengdu user need navigate be located at Guangzhou " Guang Zhouta ", then input voice information when
It waits and adds expansion word, i.e., input voice is " Guangzhou Guang Zhouta ".
The above content is a further detailed description of the present invention in conjunction with specific preferred embodiments, and it cannot be said that
Specific implementation of the invention is only limited to these instructions.For those of ordinary skill in the art to which the present invention belongs, exist
Under the premise of not departing from present inventive concept, a number of simple deductions or replacements can also be made, all shall be regarded as belonging to of the invention
Protection scope.
Claims (7)
1. a kind of navigation audio recognition method, it is characterised in that: itself the following steps are included:
Step S1: the voice messaging that client is received carries out speech recognition by speech engine；
Step S2: the identification region obtained to the result of step S1 speech recognition is retrieved in background server database, if
There are corresponding data records, then recognition result are returned to client, and identification is completed；
Recorded if there is no corresponding data, then from found in local data base it is in default territorial scope, with recognition result phase
It is greater than the data of preset value like degree, the data of preset value is greater than if there is similarity, then the similarity is greater than preset value
Data recommend user according to frequency of use descending sort；If being greater than the number of preset value without similarity in the local database
According to then the recognition result being back in background server database, background server calculates in background server database
Ranking results according to all records of similarity descending sort, and are back to client by the similarity of all records and recognition result
End；
Data as being also not greater than preset value in background server database, then this speech recognition errors, and feed back to visitor
Family end.
2. navigation audio recognition method according to claim 1, it is characterised in that: in step S2, first choice is to step S1 language
The result of sound identification is judged, if for effectively as a result, then being retrieved.
3. navigation audio recognition method according to claim 1, it is characterised in that: in step S2, if there is similarity
Greater than preset value as a result, it is then recommended user according to frequency of use descending sort, and user current location information is obtained,
According to territorial scope garbled data, client is fed back to.
4. navigation audio recognition method according to claim 1, it is characterised in that: in step S2, if in local data
Do not have similar in library as a result, then the recognition result is back in background server database, server calculates backstage
The similarity of all records and recognition result in server database, according to all records of similarity descending sort, and will sequence
As a result it is back to client, and obtains user current location information, according to territorial scope garbled data, feeds back to client.
5. navigation audio recognition method described in any one according to claim 1 ~ 4, it is characterised in that: in step S2, as after
Also it is not greater than the data of preset value in platform server database, then this speech recognition errors, and feeds back to client, simultaneously
Inform that user re-enters voice messaging or determiner or expansion word is added.
6. navigation audio recognition method according to claim 5, it is characterised in that: in step S2, the preset value is not small
In 50%.
7. a kind of speech recognition system, it is characterised in that: the speech recognition system includes speech reception module, speech recognition mould
Block, local data base, communication module, background server and sending module；
Wherein, the speech reception module, for receiving the voice messaging of client transmission；
The speech recognition module obtains identification region for carrying out speech recognition to voice messaging, according to the retrieval of identification region
Background server database lookup corresponding data record, or in territorial scope and identification is preset from finding in local data base
As a result similarity is greater than the data of preset value；The communication module then returns the recognition result for connecting with background server
It is back in background server database；
The background server, for calculating the similarity of all records and recognition result in background server database, root
According to all records of similarity descending sort；
Sending module, for ranking results to be back to client.
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Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109101475B (en) * | 2017-06-20 | 2021-07-27 | 北京嘀嘀无限科技发展有限公司 | Travel voice recognition method and system and computer equipment |
| TW201921336A (en) | 2017-06-15 | 2019-06-01 | 大陸商北京嘀嘀無限科技發展有限公司 | Systems and methods for speech recognition |
| CN107993654A (en) * | 2017-11-24 | 2018-05-04 | 珠海格力电器股份有限公司 | A kind of voice instruction recognition method and system |
| CN108804070B (en) * | 2018-05-30 | 2021-01-26 | Oppo广东移动通信有限公司 | Music playing method and device, storage medium and electronic equipment |
| CN111276147A (en) * | 2019-12-30 | 2020-06-12 | 天津大学 | Diet recording method based on voice input |
| CN114333828A (en) * | 2022-03-08 | 2022-04-12 | 深圳市华方信息产业有限公司 | Quick voice recognition system for digital product |
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