CN109618065A - A kind of voice quality inspection rating system - Google Patents
A kind of voice quality inspection rating system Download PDFInfo
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- CN109618065A CN109618065A CN201811615784.3A CN201811615784A CN109618065A CN 109618065 A CN109618065 A CN 109618065A CN 201811615784 A CN201811615784 A CN 201811615784A CN 109618065 A CN109618065 A CN 109618065A
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- 238000007689 inspection Methods 0.000 title claims abstract description 29
- 238000004519 manufacturing process Methods 0.000 claims abstract description 34
- 238000006243 chemical reaction Methods 0.000 claims abstract description 29
- 230000008451 emotion Effects 0.000 claims abstract description 22
- 238000004458 analytical method Methods 0.000 claims description 16
- 230000005540 biological transmission Effects 0.000 claims description 12
- 230000008909 emotion recognition Effects 0.000 claims description 11
- 238000000034 method Methods 0.000 claims description 7
- 238000011156 evaluation Methods 0.000 claims description 3
- 230000036651 mood Effects 0.000 claims description 3
- 238000013500 data storage Methods 0.000 description 2
- 238000012076 audiometry Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M3/00—Automatic or semi-automatic exchanges
- H04M3/22—Arrangements for supervision, monitoring or testing
- H04M3/2227—Quality of service monitoring
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/28—Constructional details of speech recognition systems
- G10L15/30—Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
- G10L25/63—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for estimating an emotional state
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- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Acoustics & Sound (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Quality & Reliability (AREA)
- Child & Adolescent Psychology (AREA)
- General Health & Medical Sciences (AREA)
- Hospice & Palliative Care (AREA)
- Psychiatry (AREA)
- Telephonic Communication Services (AREA)
Abstract
The present invention relates to voice quality inspection technical fields, specifically a kind of voice quality inspection rating system, including voice activated module, mobile terminal processor, speech production module, voice storage module, terminal server, text data conversion module, Emotion identification module, text data store module and quality inspection report generation module;The voice activated module is handled for the speech trigger signal of contact staff to be transferred to mobile terminal processor, and the voice activated module is electrically connected at mobile terminal processor;Convenient for by between contact staff and contact staff is respectively previous and grade now, thus the system of rewards and penalties of effectively implementation company, and then contact staff being supervised to take seriously client according to voice messaging.
Description
Technical field
The present invention relates to voice quality inspection technical field, specifically a kind of voice quality inspection rating system.
Background technique
Traditional quality inspection is inspected by random samples by artificial audiometry, not only heavy workload but also efficiency is also relatively low, can not
Carry out carrying out intercepting with stage voice messaging and quickly grading division to more contact staff are indulged, can not indulge more customer service individuals with
It is past and voice messaging is intercepted and quickly detects its voice service attitude at this stage, to be difficult to carry out rewards and punishments to contact staff
Grading, and then it is unfavorable for the management and subsequent development of enterprises, thus also improvement is needed to handle.
Summary of the invention
In order to make up the above deficiency, the present invention provides a kind of voice quality inspection rating systems, to solve above-mentioned background technique
The problems in.
The technical scheme is that a kind of voice quality inspection rating system, including the processing of voice activated module, mobile terminal
Device, speech production module, voice storage module, terminal server, text data conversion module, Emotion identification module, textual data
According to memory module and quality inspection report generation module;
The voice activated module is handled for the speech trigger signal of contact staff to be transferred to mobile terminal processor,
The voice activated module is electrically connected at mobile terminal processor;
The mobile terminal processor is used to analyze the speech trigger signal that processing voice activated module is sent, and by treated
Transmission of speech information achieves voice data into voice data memory module to speech production module, it is described it is mobile eventually
The output end of end processor is electrically connected in speech production module and voice data memory module, and mobile terminal processor is adopted
With the single-chip microcontroller of model STM32F103RCT6;
The speech production module includes operational amplifier, and speech production module is for receiving and showing at mobile terminal processor
Voice messaging after reason;
The voice storage module treated for storing mobile terminal processor voice messaging, and pass through wireless transceiver biography
The terminal server in a distant place is transported to, voice storage module selects the SD card of model TF;
The terminal server is used to received voice messaging being transmitted separately to text data conversion module and Emotion identification mould
Block, the terminal server are electrically connected with text data conversion module and Emotion identification module respectively, and terminal server uses
The file data server of model SR850;
The text data conversion module is used to received voice messaging carrying out text conversion, so that text is objective as judging
The foundation of personnel service's attitude is taken, and again by the teletext after conversion to terminal server;
The Emotion identification module be used for by received voice messaging carry out Emotion identification, so as to contact staff to client
Situation of neglecting identified, and then as follow-up service attitude judge foundation, and again by after Emotion identification information pass
Transport to terminal server;
The text data store module be used for by after speech signal analysis writing text and mood neglect number and be collected
Storage, the text data store module are electrically connected at terminal server;
The quality inspection report generation module is for the important evidence to contact staff's rewards and punishments, and quality inspection report generation module electrically connects
It is connected to terminal server, the information stored in text data store module is analyzed and processed and is generated by terminal server
Final report.
A kind of ranking method of voice quality inspection rating system, comprising the following steps:
S1: the voice dialogue between A contact staff and locating client is obtained by speech production module and generates dialog text
The newest dialogue content that A0001, dialog text A0001 are represented, and will be stored after generation by wireless transceiver
Transmission of speech information to terminal handler;
S2: the voice dialogue between B contact staff and locating client is obtained by speech production module and generates dialog text
The newest dialogue content that B0001, dialog text B0001 are represented, and will be stored after generation by wireless transceiver
Transmission of speech information to terminal handler;
S3: the voice dialogue between C contact staff and locating client is obtained by speech production module and generates dialog text
The newest dialogue content that C0001, dialog text C0001 are represented, and will be stored after generation by wireless transceiver
Transmission of speech information to terminal handler;
S4: arranging and judges the attitude of A contact staff, B contact staff and C contact staff, by dialog text A0001, right
Be uploaded to server carries out emotion recognition and text to voice messaging in words text B0001 and dialog text C0001 respectively simultaneously
Conversion and analysis, so that the attitude of A contact staff, B contact staff and C contact staff are carried out level evaluation;
S5: previous voice dialogue generation pair several times between A contact staff and locating client is obtained by speech production module
Text A0002-A0009 is talked about, A0002-A0009 was represented between A contact staff and all locating clients in previous each stage
Voice dialogue;
S6: previous voice dialogue generation pair several times between B contact staff and locating client is obtained by speech production module
Text B0002-B0009 is talked about, B0002-B0009 was represented between B contact staff and all locating clients in previous each stage
Voice dialogue;
S7: previous voice dialogue generation pair several times between C contact staff and locating client is obtained by speech production module
Text C0002-C0009 is talked about, C0002-C0009 was represented between C contact staff and all locating clients in previous each stage
Voice dialogue;
S8: arranging and judges the variation of A contact staff, B contact staff and the previous and present attitude of C contact staff, by A visitor
It takes personnel, B contact staff and C contact staff is previous and present voice messaging is uploaded to terminal server respectively, by terminal
Server carries out emotion recognition and text conversion and analysis to voice messaging, and then to judge A contact staff, B contact staff and C
Contact staff is respectively since attitude variation till now in the past;
S9: being handled by terminal server analysis, while A contact staff, B contact staff and C contact staff mutually comment at arrangement
Grade and the result respectively graded simultaneously generate report, encourage by report to A contact staff, B contact staff and C contact staff
It punishes.
Preferably, A0001, B0001, C0001, A0002-A0009, B0002-B0009 for occurring in step S1-S7 and
C0002-C0009 represents A contact staff, B contact staff and C contact staff respectively from dialog text sequence till now in the past
Row number, in order to carry out comparison grading stage by stage to A contact staff, B contact staff and C contact staff.
Beneficial effects of the present invention:
Convenient for according to voice messaging by between contact staff and contact staff is respectively previous and grade now, thus effectively
The system of rewards and penalties of implementation company, and then contact staff is supervised to take seriously client, specifically, dialog text A0001, B0001,
It is all right between locating all clients at this stage that C0001 respectively represents A contact staff, B contact staff and C contact staff
Content is talked about, and meaning company representative at this stage can be divided as unit of one week as needed, each A contact staff, B
Voice data storage module can all achieve after contact staff and C contact staff complete dialogue, wireless transceiver after band one week
The dialog information of complete cycle is sent to terminal server, terminal server can be to complete cycle A contact staff, B customer service after receiving information
The voice dialogue of personnel and C contact staff record carry out emotion knowledge by emotion recognition module and text data store module respectively
Other and text conversion and analysis are commented so that the attitude of A contact staff, B contact staff and C contact staff are carried out grade
Sentence;A0002-A0009, B0002-B0009 and C0002-C0009 respectively represent A contact staff, B contact staff and C contact staff
Respectively A contact staff, B contact staff and C contact staff are showed rank by the sample drawn in previous each stage, software voice dialogue platform
The dialog text of section and it was extracted sample in the past terminal server is uploaded to by wireless transceiver, terminal server reception information
The voice pair of sample can be extracted to the dialog text of A contact staff, B contact staff and C contact staff at this stage and in the past afterwards
Words record carries out emotion recognition and text conversion and analysis by emotion recognition module and text data store module, thus by A
The number situation of neglecting of the attitude of contact staff, B contact staff and C contact staff carries out physical record, using as subsequent
Grading reference;Finally, arranging A contact staff by terminal server, B contact staff and C contact staff mutually grades and respectively
From the result of grading and quality inspection report is generated, A contact staff, B contact staff and C contact staff are encouraged by quality inspection report
It punishes, A contact staff, B contact staff and C contact staff can be arranged by serial number herein choose more contact staff's progress
Comparation and assessment are sorted out.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention without any creative labor, may be used also for those of ordinary skill in the art
To obtain other drawings based on these drawings.
Fig. 1 is flow chart of the invention;
Fig. 2 is speech production module map of the invention.
Specific embodiment
The present invention is further illustrated in the following with reference to the drawings and specific embodiments.
With reference to Fig. 1-2 it is found that a kind of voice quality inspection rating system of the present invention, including at voice activated module, mobile terminal
Manage device, speech production module, voice storage module, terminal server, text data conversion module, Emotion identification module, text
Data memory module and quality inspection report generation module;
The voice activated module is handled for the speech trigger signal of contact staff to be transferred to mobile terminal processor,
The voice activated module is electrically connected at mobile terminal processor;
The mobile terminal processor is used to analyze the speech trigger signal that processing voice activated module is sent, and by treated
Transmission of speech information achieves voice data into voice data memory module to speech production module, it is described it is mobile eventually
The output end of end processor is electrically connected in speech production module and voice data memory module;
The speech production module includes operational amplifier, and speech production module is for receiving and showing at mobile terminal processor
Voice messaging after reason;
The voice storage module treated for storing mobile terminal processor voice messaging, and pass through wireless transceiver biography
Transport to the terminal server in a distant place;
The terminal server is used to received voice messaging being transmitted separately to text data conversion module and Emotion identification mould
Block, the terminal server are electrically connected with text data conversion module and Emotion identification module respectively;
The text data conversion module is used to received voice messaging carrying out text conversion, so that text is objective as judging
The foundation of personnel service's attitude is taken, and again by the teletext after conversion to terminal server;
The Emotion identification module be used for by received voice messaging carry out Emotion identification, so as to contact staff to client
Situation of neglecting identified, and then as follow-up service attitude judge foundation, and again by after Emotion identification information pass
Transport to terminal server;
The text data store module be used for by after speech signal analysis writing text and mood neglect number and be collected
Storage, the text data store module are electrically connected at terminal server;
The quality inspection report generation module is for the important evidence to contact staff's rewards and punishments, and quality inspection report generation module electrically connects
It is connected to terminal server, the information stored in text data store module is analyzed and processed and is generated by terminal server
Final report.
A kind of ranking method of voice quality inspection rating system, comprising the following steps:
S1: the voice dialogue between A contact staff and locating client is obtained by speech production module and generates dialog text
The newest dialogue content that A0001, dialog text A0001 are represented, and will be stored after generation by wireless transceiver
Transmission of speech information to terminal handler;
S2: the voice dialogue between B contact staff and locating client is obtained by speech production module and generates dialog text
The newest dialogue content that B0001, dialog text B0001 are represented, and will be stored after generation by wireless transceiver
Transmission of speech information to terminal handler;
S3: the voice dialogue between C contact staff and locating client is obtained by speech production module and generates dialog text
The newest dialogue content that C0001, dialog text C0001 are represented, and will be stored after generation by wireless transceiver
Transmission of speech information to terminal handler;
S4: arranging and judges the attitude of A contact staff, B contact staff and C contact staff, by dialog text A0001, right
Be uploaded to server carries out emotion recognition and text to voice messaging in words text B0001 and dialog text C0001 respectively simultaneously
Conversion and analysis, so that the attitude of A contact staff, B contact staff and C contact staff are carried out level evaluation;
S5: previous voice dialogue generation pair several times between A contact staff and locating client is obtained by speech production module
Text A0002-A0009 is talked about, A0002-A0009 was represented between A contact staff and all locating clients in previous each stage
Voice dialogue;
S6: previous voice dialogue generation pair several times between B contact staff and locating client is obtained by speech production module
Text B0002-B0009 is talked about, B0002-B0009 was represented between B contact staff and all locating clients in previous each stage
Voice dialogue;
S7: previous voice dialogue generation pair several times between C contact staff and locating client is obtained by speech production module
Text C0002-C0009 is talked about, C0002-C0009 was represented between C contact staff and all locating clients in previous each stage
Voice dialogue;
S8: arranging and judges the variation of A contact staff, B contact staff and the previous and present attitude of C contact staff, by A visitor
It takes personnel, B contact staff and C contact staff is previous and present voice messaging is uploaded to terminal server respectively, by terminal
Server carries out emotion recognition and text conversion and analysis to voice messaging, and then to judge A contact staff, B contact staff and C
Contact staff is respectively since attitude variation till now in the past;
S9: being handled by terminal server analysis, while A contact staff, B contact staff and C contact staff mutually comment at arrangement
Grade and the result respectively graded simultaneously generate report, encourage by report to A contact staff, B contact staff and C contact staff
It punishes.
A0001, B0001, C0001, A0002-A0009, B0002-B0009 and the C0002- occurred in step S1-S7
C0009 represents A contact staff, B contact staff and C contact staff and arranges in numerical order respectively from dialog text sequence till now in the past, with
It is convenient for carrying out A contact staff, B contact staff and C contact staff comparison grading stage by stage.
The present embodiment implement when,
When being graded at this stage to A contact staff, B contact staff and C contact staff: dialog text A0001, B0001,
It is all right between locating all clients at this stage that C0001 respectively represents A contact staff, B contact staff and C contact staff
Content is talked about, and meaning company representative at this stage can be divided as unit of one week as needed, each A contact staff, B
Voice data storage module can all achieve after contact staff and C contact staff complete dialogue, wireless transceiver after band one week
The dialog information of complete cycle is sent to terminal server, terminal server can be to complete cycle A contact staff, B customer service after receiving information
The voice dialogue of personnel and C contact staff record carry out emotion knowledge by emotion recognition module and text data store module respectively
Other and text conversion and analysis are commented so that the attitude of A contact staff, B contact staff and C contact staff are carried out grade
Sentence;
When grading to A contact staff, B contact staff and the previous and present attitude of C contact staff: A0002-A0009,
B0002-B0009 and C0002-C0009 respectively represents A contact staff, B contact staff and C contact staff respective previous each stage
Sample drawn, software voice dialogue platform by A contact staff, B contact staff and C contact staff dialog text at this stage and
It is extracted sample in the past, terminal server is uploaded to by wireless transceiver, terminal server can be to A customer service people after receiving information
Member, B contact staff and C contact staff dialog text at this stage and it is extracted the voice dialogue record of sample in the past passes through emotion
Identification module and text data store module carry out emotion recognition and text conversion and analysis, thus by A contact staff, B customer service
The number situation of neglecting of the attitude of personnel and C contact staff carries out physical record, using as subsequent grading reference;
Finally, by terminal server arranging A contact staff, B contact staff and C contact staff mutually grade and respectively grade
As a result and quality inspection report is generated, rewards and punishments is carried out to A contact staff, B contact staff and C contact staff by quality inspection report, at this
In A contact staff, B contact staff and C contact staff can arrange choose more contact staff and carry out comparation and assessment by serial number and return
Class.
Main feature and advantages of the present invention of the invention has been shown and described above.The technical staff of the industry should
Solution, the present invention is not limited to the above embodiments, and the above embodiments and description only illustrate the principle of the present invention,
Without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes and improvements are all
It falls into scope of the claimed invention.The claimed scope of the invention is by appended claims and its equivalent circle
It is fixed.
Claims (3)
1. a kind of voice quality inspection rating system, which is characterized in that raw including voice activated module, mobile terminal processor, voice
At module, voice storage module, terminal server, text data conversion module, Emotion identification module, text data store module
And quality inspection report generation module;
The voice activated module is handled for the speech trigger signal of contact staff to be transferred to mobile terminal processor,
The voice activated module is electrically connected at mobile terminal processor;
The mobile terminal processor is used to analyze the speech trigger signal that processing voice activated module is sent, and by treated
Transmission of speech information achieves voice data into voice data memory module to speech production module, it is described it is mobile eventually
The output end of end processor is electrically connected in speech production module and voice data memory module;
The speech production module includes operational amplifier, and speech production module is for receiving and showing at mobile terminal processor
Voice messaging after reason;
The voice storage module treated for storing mobile terminal processor voice messaging, and pass through wireless transceiver biography
Transport to the terminal server in a distant place;
The terminal server is used to received voice messaging being transmitted separately to text data conversion module and Emotion identification mould
Block, the terminal server are electrically connected with text data conversion module and Emotion identification module respectively;
The text data conversion module is used to received voice messaging carrying out text conversion, so that text is objective as judging
The foundation of personnel service's attitude is taken, and again by the teletext after conversion to terminal server;
The Emotion identification module be used for by received voice messaging carry out Emotion identification, so as to contact staff to client
Situation of neglecting identified, and then as follow-up service attitude judge foundation, and again by after Emotion identification information pass
Transport to terminal server;
The text data store module be used for by after speech signal analysis writing text and mood neglect number and be collected
Storage, the text data store module are electrically connected at terminal server;
The quality inspection report generation module is for the important evidence to contact staff's rewards and punishments, and quality inspection report generation module electrically connects
It is connected to terminal server, the information stored in text data store module is analyzed and processed and is generated by terminal server
Final report.
2. a kind of ranking method of voice quality inspection rating system described in accordance with the claim 1, which is characterized in that ranking method
Specific implementation step is as follows:
S1: the voice dialogue between A contact staff and locating client is obtained by speech production module and generates dialog text
The newest dialogue content that A0001, dialog text A0001 are represented, and will be stored after generation by wireless transceiver
Transmission of speech information to terminal handler;
S2: the voice dialogue between B contact staff and locating client is obtained by speech production module and generates dialog text
The newest dialogue content that B0001, dialog text B0001 are represented, and will be stored after generation by wireless transceiver
Transmission of speech information to terminal handler;
S3: the voice dialogue between C contact staff and locating client is obtained by speech production module and generates dialog text
The newest dialogue content that C0001, dialog text C0001 are represented, and will be stored after generation by wireless transceiver
Transmission of speech information to terminal handler;
S4: arranging and judges the attitude of A contact staff, B contact staff and C contact staff, by dialog text A0001, right
Be uploaded to server carries out emotion recognition and text to voice messaging in words text B0001 and dialog text C0001 respectively simultaneously
Conversion and analysis, so that the attitude of A contact staff, B contact staff and C contact staff are carried out level evaluation;
S5: previous voice dialogue generation pair several times between A contact staff and locating client is obtained by speech production module
Text A0002-A0009 is talked about, A0002-A0009 was represented between A contact staff and all locating clients in previous each stage
Voice dialogue;
S6: previous voice dialogue generation pair several times between B contact staff and locating client is obtained by speech production module
Text B0002-B0009 is talked about, B0002-B0009 was represented between B contact staff and all locating clients in previous each stage
Voice dialogue;
S7: previous voice dialogue generation pair several times between C contact staff and locating client is obtained by speech production module
Text C0002-C0009 is talked about, C0002-C0009 was represented between C contact staff and all locating clients in previous each stage
Voice dialogue;
S8: arranging and judges the variation of A contact staff, B contact staff and the previous and present attitude of C contact staff, by A visitor
It takes personnel, B contact staff and C contact staff is previous and present voice messaging is uploaded to terminal server respectively, by terminal
Server carries out emotion recognition and text conversion and analysis to voice messaging, and then to judge A contact staff, B contact staff and C
Contact staff is respectively since attitude variation till now in the past;
S9: being handled by terminal server analysis, while A contact staff, B contact staff and C contact staff mutually comment at arrangement
Grade and the result respectively graded simultaneously generate report, encourage by report to A contact staff, B contact staff and C contact staff
It punishes.
3. a kind of ranking method of voice quality inspection rating system according to claim 2, it is characterised in that: step S1-S7
A0001, B0001, C0001, A0002-A0009, B0002-B0009 and C0002-C0009 of middle appearance, represent A contact staff,
B contact staff and C contact staff are respectively from dialog text sequence row number till now in the past, in order to come to A contact staff, B
Contact staff and C contact staff carry out comparison grading stage by stage.
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CN110600056A (en) * | 2019-08-09 | 2019-12-20 | 深圳市云之音科技有限公司 | Voice quality inspection method and device |
CN111756938A (en) * | 2020-07-01 | 2020-10-09 | 蒋芳 | Call center telephone intelligent analysis monitoring method and system |
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CN104168394A (en) * | 2014-06-27 | 2014-11-26 | 国家电网公司 | Sampling quality inspection method and system in calling center |
CN106910512A (en) * | 2015-12-18 | 2017-06-30 | 株式会社理光 | The analysis method of voice document, apparatus and system |
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CN107452385A (en) * | 2017-08-16 | 2017-12-08 | 北京世纪好未来教育科技有限公司 | A kind of voice-based data evaluation method and device |
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CN108962282A (en) * | 2018-06-19 | 2018-12-07 | 京北方信息技术股份有限公司 | Speech detection analysis method, apparatus, computer equipment and storage medium |
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CN110600056A (en) * | 2019-08-09 | 2019-12-20 | 深圳市云之音科技有限公司 | Voice quality inspection method and device |
CN111756938A (en) * | 2020-07-01 | 2020-10-09 | 蒋芳 | Call center telephone intelligent analysis monitoring method and system |
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