CN108280188A - Intelligence inspection business platform based on big data - Google Patents

Intelligence inspection business platform based on big data Download PDF

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Publication number
CN108280188A
CN108280188A CN201810067741.XA CN201810067741A CN108280188A CN 108280188 A CN108280188 A CN 108280188A CN 201810067741 A CN201810067741 A CN 201810067741A CN 108280188 A CN108280188 A CN 108280188A
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China
Prior art keywords
document
unit
voice
big data
voice messaging
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Pending
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CN201810067741.XA
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Chinese (zh)
Inventor
蒋志群
李弘珊
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Chengdu Shun Siyuan Information Technology Co Ltd
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Chengdu Shun Siyuan Information Technology Co Ltd
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Priority to CN201810067741.XA priority Critical patent/CN108280188A/en
Publication of CN108280188A publication Critical patent/CN108280188A/en
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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
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/3331—Query processing
    • G06F16/334—Query execution
    • G06F16/3343—Query execution using phonetics
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • 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
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Processing of the speech or voice signal 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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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Business, Economics & Management (AREA)
  • Acoustics & Sound (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Theoretical Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Human Computer Interaction (AREA)
  • General Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • General Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • Economics (AREA)
  • Development Economics (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Educational Administration (AREA)
  • Human Resources & Organizations (AREA)
  • Quality & Reliability (AREA)
  • Signal Processing (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The intelligence based on big data that the present invention provides a kind of examining business platform, including：Document big data unit, for storing and the relevant document information of case；Voice collecting unit, the voice messaging for acquiring case trial scene；Intelligent language and characters converting unit, for being converted into word according to voice messaging.This platform greatly improves the speech discrimination accuracy at trial scene, is conducive to improve trial efficiency.

Description

Intelligence inspection business platform based on big data
Technical field
The invention belongs to law big data processing technology fields, and in particular to a kind of intelligence inspection business based on big data is flat Platform.
Background technology
With the continuous development of information technology, justice system also proposed increasingly higher demands to automated process.Method All kinds of case information of institute's trial have been enough to constitute the pending data in big data meaning.Through retrieval, in the prior art Shen Number please providing a kind of criminal case for CN201710426297.1, intelligently auxiliary is handled a case method, is suitable for public security subsystem, inspection It examines subsystem and law court's subsystem provides auxiliary of handling a case, the public security subsystem, procuratorial work subsystem and method subsystem are equal With server communication, include the following steps：
Step 21, one or more of case of public security subsystem pair instrument of evidence carry out evidence collection, typing and Verification；
Step 22, public security subsystem obtains the pending request instruction of input, and is judged according to the check results of the instrument of evidence Whether the requirement that proposes pending request is met, if so, sending out pending request to procuratorial work subsystem by server；
Step 23, procuratorial work subsystem obtains the instrument of evidence and its check results of the public security subsystem to the case；
Step 24, procuratorial work subsystem carries out chain of evidence examination to the instrument of evidence of the case；
Step 25, procuratorial work subsystem obtains the examination result that sends out inputted and instructs, and according to the chain of evidence of the instrument of evidence Examination result judges whether to meet the requirement for sending out examination result, if so, by server to public security subsystem or method courtyard System sends out examination result.
However, existing case big data processing system still needs the related information retrieval capability of internet information It improves.In the prior art, more and more sound and perfect with the law of country, the legal consciousness of people increasingly improves, judicial The quantity of class case is also more and more.And people are when handling a case, also habitually go to search relevant case into Row reference, so as to involved by case itself case point and relevant law more know and understand.However, being looked into for existing case For asking or retrieving, people are generally widely to be inquired by universal search engine, and the inquiry of this inquiry mode is accurate True rate is relatively low, generally requires people and carries out just inquiring useful reference case after largely screening.In addition, people can be with It is inquired or is retrieved by the dedicated system of judicial department, the universal search engine and this dedicated query mode compares It says, accuracy rate increases, but it is either in formality, or in mode of operation, all comparatively laborious, can not spirit Living is retrieved suitable for civil, also, conventional judicial class case retrieval, is also commonly based on the full-text search of keyword System is realized, and this retrieval can only directly retrieve related keyword whether occur, also relatively low in accuracy rate.
Invention content
In order to improve the automatization level of justice system case examination, the present invention provides a kind of intelligence based on big data Inspection business platform, including：
Document big data unit, for storing and the relevant document information of case；
Voice collecting unit, the voice messaging for acquiring case trial scene；
Intelligent voice-text conversion unit, for being converted into word according to voice messaging.
Further, the intelligent voice-text conversion unit includes：
Document selection unit, for choosing document according to the voice messaging；
Document markup unit, for marking the document according to the voice messaging；
Hearing process confirmation unit confirms document for generating hearing process according to the voice messaging.
Further, the voice collecting unit is multichannel voice collecting unit.
Further, the multichannel voice collecting unit includes the more of speech signal analysis unit and distributed setting A microphone.
Further, the document selection unit includes document title determination unit, for generating text according to voice messaging Word, and document is chosen from the document big data unit according to the corresponding document title of word.
Further, the document markup unit is used to the word being added to the document.
Further, the document big data unit is relationship type document big data unit.
Further, the hearing process confirmation unit includes：
Document establishes unit, confirms document for establishing hearing process；
Content generation unit confirms document for the document and the word to be added to the hearing process.
Further, the document title determination unit includes：
S (w) is speech signal energy spectral density function, cnFor cepstrum coefficient, pass through cnCepstrum distance l, which can be obtained, is：
N is microphone number, and d is that each microphone position is poor relative to the criterion distance of trial judge position, and wherein N (n) is institute The noise signal in voice messaging is stated, S (n) is the voice signal for removing the voice messaging after noise；pi(k) be based on cepstrum away from From speech frequency component,
Short-time average energies of the voice signal x (n) of microphone n at the n moment be：
For Hamming window functions；
To the p of each microphone compositioni(k) matrix, the matrix and E are formednCharacteristic value be multiplied, acquire covariance matrix G；
Characteristic value A is sought to matrix G, and then obtains adjusting signal for the cepstrum of each microphone
Technical scheme of the present invention has the following advantages：
The intelligence inspection business platform based on big data of the live noise of trial can farthest be reduced by realizing, by this Platform, the noise during word can be converted into voice effectively to be reduced, according to test, HMM compared with the prior art It identifies that validity is higher by 70% or more to voice-character recognition technology of equal models, therefore is highly suitable for other than court Any place carries out providing stable and reliable text conversion when case trial, greatly improves in trial efficiency.
Description of the drawings
Fig. 1 shows platform composition frame chart according to a preferred embodiment of the invention.
Specific implementation mode
As shown in Figure 1, a kind of intelligence inspection business platform based on big data, including：
Document big data unit, for storing and the relevant document information of case；
Voice collecting unit, the voice messaging for acquiring case trial scene；
Intelligent voice-text conversion unit, for being converted into word according to voice messaging.
It is described intelligence voice-text conversion unit include：
Document selection unit, for choosing document according to the voice messaging；
Document markup unit, for marking the document according to the voice messaging；
Hearing process confirmation unit confirms document for generating hearing process according to the voice messaging.
The voice collecting unit is multichannel voice collecting unit.
The multichannel voice collecting unit includes speech signal analysis unit and multiple microphones of distributed setting.
The document selection unit includes document title determination unit, is used for according to voice messaging generation word, and according to The corresponding document title of word chooses document from the document big data unit.
The document markup unit is used to the word being added to the document.
The document big data unit is relationship type document big data unit.
The hearing process confirmation unit includes：
Document establishes unit, confirms document for establishing hearing process；
Content generation unit confirms document for the document and the word to be added to the hearing process.
The document title determination unit includes：
S (w) is speech signal energy spectral density function, cnFor cepstrum coefficient, pass through cnCepstrum distance l, which can be obtained, is：
N is microphone number, and d is that each microphone position is poor relative to the criterion distance of trial judge position, and wherein N (n) is institute The noise signal in voice messaging is stated, S (n) is the voice signal for removing the voice messaging after noise；pi(k) be based on cepstrum away from From speech frequency component,
Short-time average energies of the voice signal x (n) of microphone n at the n moment be：
For Hamming window functions；
To the p of each microphone compositioni(k) matrix, the matrix and E are formednCharacteristic value be multiplied, acquire covariance matrix G；
Characteristic value A is sought to matrix G, and then obtains adjusting signal for the cepstrum of each microphone
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention All any modification, equivalent and improvement etc., should all be included in the protection scope of the present invention made by within refreshing and principle.

Claims (9)

1. a kind of intelligence inspection business platform based on big data, which is characterized in that including：
Document big data unit, for storing and the relevant document information of case；
Voice collecting unit, the voice messaging for acquiring case trial scene；
Intelligent voice-text conversion unit, for being converted into word according to voice messaging.
2. system according to claim 1, which is characterized in that it is described intelligence voice-text conversion unit include：
Document selection unit, for choosing document according to the voice messaging；
Document markup unit, for marking the document according to the voice messaging；
Hearing process confirmation unit confirms document for generating hearing process according to the voice messaging.
3. system according to claim 2, which is characterized in that the voice collecting unit is multichannel voice collecting list Member.
4. system according to claim 3, which is characterized in that the multichannel voice collecting unit includes at voice messaging Manage unit and multiple microphones of distributed setting.
5. system according to claim 2, which is characterized in that the document selection unit includes that document title determines list Member for generating word according to voice messaging, and is selected according to the corresponding document title of word from the document big data unit Take document.
6. system according to claim 2, which is characterized in that the document markup unit is for the word to be added to The document.
7. system according to claim 2, which is characterized in that the document big data unit is relationship type document big data Unit.
8. system according to claim 2, which is characterized in that the hearing process confirmation unit includes：
Document establishes unit, confirms document for establishing hearing process；
Content generation unit confirms document for the document and the word to be added to the hearing process.
9. system according to claim 2, which is characterized in that the document title determination unit includes：S (w) is voice Signal energy spectral density function, cnFor cepstrum coefficient, pass through cnCepstrum distance l, which can be obtained, is：
N is microphone number, and d is that each microphone position is poor relative to the criterion distance of trial judge position, and wherein N (n) is institute's predicate Noise signal in message breath, S (n) are the voice signal for removing the voice messaging after noise；pi(k) it is based on cepstrum distance Speech frequency component,
Short-time average energies of the voice signal x (n) of microphone n at the n moment be：
For Hamming window functions；
To the p of each microphone compositioni(k) matrix, the matrix and E are formednCharacteristic value be multiplied, acquire covariance matrix G；
Characteristic value A is sought to matrix G, and then obtains adjusting signal for the cepstrum of each microphone
CN201810067741.XA 2018-01-24 2018-01-24 Intelligence inspection business platform based on big data Pending CN108280188A (en)

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Application Number Priority Date Filing Date Title
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CN108280188A true CN108280188A (en) 2018-07-13

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101301240A (en) * 2008-05-21 2008-11-12 清华大学深圳研究生院 Electric cochlea Chinese fixed electric stimulation amplitude changing pattern in vitro voice processing equipment
US20090276216A1 (en) * 2008-05-02 2009-11-05 International Business Machines Corporation Method and system for robust pattern matching in continuous speech
US20100030559A1 (en) * 2001-03-02 2010-02-04 Mindspeed Technologies, Inc. System and method for an endpoint detection of speech for improved speech recognition in noisy environments
CN102254558A (en) * 2011-07-01 2011-11-23 重庆邮电大学 Control method of intelligent wheel chair voice recognition based on end point detection
CN106326640A (en) * 2016-08-12 2017-01-11 上海交通大学医学院附属瑞金医院卢湾分院 Medical speech control system and control method thereof

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100030559A1 (en) * 2001-03-02 2010-02-04 Mindspeed Technologies, Inc. System and method for an endpoint detection of speech for improved speech recognition in noisy environments
US20090276216A1 (en) * 2008-05-02 2009-11-05 International Business Machines Corporation Method and system for robust pattern matching in continuous speech
CN101301240A (en) * 2008-05-21 2008-11-12 清华大学深圳研究生院 Electric cochlea Chinese fixed electric stimulation amplitude changing pattern in vitro voice processing equipment
CN102254558A (en) * 2011-07-01 2011-11-23 重庆邮电大学 Control method of intelligent wheel chair voice recognition based on end point detection
CN106326640A (en) * 2016-08-12 2017-01-11 上海交通大学医学院附属瑞金医院卢湾分院 Medical speech control system and control method thereof

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
张丽艳 等: "一种适用于混响环境的麦克风阵列语音增强方法", 《信号处理》 *
王金甲: "噪声环境下鲁棒性文本自由说话人辨认系统的研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *

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