CN112185365A - Power supply intelligent client processing method and system - Google Patents
Power supply intelligent client processing method and system Download PDFInfo
- Publication number
- CN112185365A CN112185365A CN202011063983.5A CN202011063983A CN112185365A CN 112185365 A CN112185365 A CN 112185365A CN 202011063983 A CN202011063983 A CN 202011063983A CN 112185365 A CN112185365 A CN 112185365A
- Authority
- CN
- China
- Prior art keywords
- customer
- voice
- intelligent
- customer service
- processing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 11
- 238000000034 method Methods 0.000 claims abstract description 26
- 230000004044 response Effects 0.000 claims abstract description 18
- 230000008569 process Effects 0.000 claims abstract description 12
- 230000008451 emotion Effects 0.000 claims abstract description 10
- 230000003993 interaction Effects 0.000 claims abstract description 10
- 230000002159 abnormal effect Effects 0.000 claims abstract description 9
- 238000001514 detection method Methods 0.000 description 11
- 238000010586 diagram Methods 0.000 description 9
- 230000008030 elimination Effects 0.000 description 8
- 238000003379 elimination reaction Methods 0.000 description 8
- 230000009467 reduction Effects 0.000 description 6
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000004590 computer program Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000012512 characterization method Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000030808 detection of mechanical stimulus involved in sensory perception of sound Effects 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
Images
Classifications
-
- 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
- G10L15/08—Speech classification or search
- G10L15/18—Speech classification or search using natural language modelling
- G10L15/1822—Parsing for meaning understanding
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M3/00—Automatic or semi-automatic exchanges
- H04M3/42—Systems providing special services or facilities to subscribers
- H04M3/50—Centralised arrangements for answering calls; Centralised arrangements for recording messages for absent or busy subscribers ; Centralised arrangements for recording messages
- H04M3/51—Centralised call answering arrangements requiring operator intervention, e.g. call or contact centers for telemarketing
- H04M3/5166—Centralised call answering arrangements requiring operator intervention, e.g. call or contact centers for telemarketing in combination with interactive voice response systems or voice portals, e.g. as front-ends
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Computational Linguistics (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Signal Processing (AREA)
- Business, Economics & Management (AREA)
- Marketing (AREA)
- Artificial Intelligence (AREA)
- Child & Adolescent Psychology (AREA)
- General Health & Medical Sciences (AREA)
- Hospice & Palliative Care (AREA)
- Psychiatry (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a power supply intelligent client processing method, which comprises the steps of receiving client service request voice data of a client through a power supply intelligent client system; the intelligent voice customer service carries out voice recognition on the received voice data of the client, and provides corresponding customer service according to the semantics of the client by the intelligent voice customer service, and the method comprises the following steps: selecting a text and/or voice form for customer service response; when the intelligent voice customer service is monitored to be incapable of solving the problems of the customers, or the abnormal conditions of the customers are identified or the serious discontent emotions of the customers are detected; or when the number of times of conversation interaction between the intelligent voice customer service and the customer is counted to exceed the preset number, the manual customer service is switched to process. The invention also provides a corresponding system. By implementing the invention, the pertinence of the customer service can be improved, thereby improving the use experience of the user.
Description
Technical Field
The invention relates to the technical field of power supply intelligent clients, in particular to a power supply intelligent client processing method and system.
Background
For customer service work, intelligent voice is one of the trends of future development, although many power supply enterprises are actively building intelligent customer service systems, most of the existing voice navigation systems have some disadvantages, mainly embodied in the disadvantages of low intelligent degree, limited voice recognition effect, complex service flow, poor integrity, poor serviceability and the like;
meanwhile, for the existing customer service system, there is no way to automatically convert to manual service in some situations (such as the customer is not full of emotion and is serious), and the user needs to switch according to the prompt, so that the operation is complicated, and the use experience is poor.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a power supply intelligent client processing method and system, which can improve the pertinence of customer service, thereby improving the use experience of users.
In order to solve the above technical problem, an aspect of the present invention provides a power supply intelligent client processing method, including the following steps:
step S10, receiving customer service request voice data of a customer through the power supply intelligent customer system;
step S11, the intelligent voice service carries out voice recognition to the received voice data of the client, and provides corresponding service by the intelligent voice service according to the semantics of the client, including: selecting a text and/or voice form for customer service response;
step S12, when the intelligent voice customer service is monitored to be unable to solve the problem of the customer, or the customer is identified to have abnormal condition or the customer is detected to be discontented with serious emotion; or when the number of times of conversation interaction between the intelligent voice customer service and the customer is counted to exceed the preset number, the manual customer service is switched to process.
Preferably, the step S11 further includes:
and matching corresponding customer service voice data from a preset corpus according to the voice data sent by the user and responding to the user.
Preferably, further comprising:
judging a current processing strategy, and adopting intelligent processing or manual processing according to the current processing strategy; wherein, the processing strategy is preset and comprises the following steps: intelligent processing priority, manual processing priority or both proportional processing strategies.
Preferably, the step S11 further includes:
and judging whether the voice recognition result is related to the hot problem, and if so, recommending the hot problem to the user.
Accordingly, as another aspect of the present invention, there is also provided a power supplying smart client processing system, comprising:
the voice data receiving unit is used for receiving the customer service request voice data of the customer through the power supply intelligent customer system;
the recognition response unit is used for carrying out voice recognition on the received voice data of the client by the intelligent voice client service and providing corresponding client service by the intelligent voice client service according to the semantics of the client, and comprises the following steps: selecting a text and/or voice form for customer service response;
the artificial customer service triggering and processing unit is used for identifying abnormal conditions of the customer or detecting that the customer is unsatisfied with serious emotion when the intelligent voice customer service is monitored to be incapable of solving the problems of the customer; or when the number of times of conversation interaction between the intelligent voice customer service and the customer is counted to exceed the preset number, the manual customer service is switched to process.
Preferably, the identification response unit further includes:
and the matching processing unit is used for matching corresponding customer service voice data from a preset corpus according to the voice data sent by the user and responding to the user.
Preferably, further comprising:
the processing strategy judging unit is used for judging the current processing strategy and adopting intelligent processing or manual processing according to the current processing strategy; wherein, the processing strategy is preset and comprises the following steps: intelligent processing priority, manual processing priority or both proportional processing strategies.
Preferably, the identification response unit further comprises:
and the hot problem recommending unit is used for judging whether the voice recognition result is related to the hot problem or not, and if so, recommending the hot problem to the user.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a power supply intelligent client processing method and a system, wherein a power supply intelligent client system receives client service request voice data of a client; the intelligent voice customer service carries out voice recognition on the received voice data of the client, and provides corresponding customer service according to the semantics of the client by the intelligent voice customer service, and the method comprises the following steps: selecting a text and/or voice form for customer service response; when the intelligent voice customer service is monitored to be incapable of solving the problems of the customers, or the abnormal conditions of the customers are identified or the serious discontent emotions of the customers are detected; or when the number of times of conversation interaction between the intelligent voice customer service and the customer is counted to exceed the preset number, the manual customer service is switched to process. By implementing the invention, the manual customer service can be liberated, and the pertinence of the customer service can be improved, so that the service efficiency is improved, and the use experience of a user is finally improved.
Drawings
Fig. 1 is a schematic main flow chart of an embodiment of a power supply smart client processing method according to the present invention;
FIG. 2 is a schematic block diagram of one embodiment of a powered Smart client processing System in accordance with the present invention;
fig. 3 is a schematic structural diagram of the identification response unit in fig. 2.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
For those skilled in the art to more clearly understand the objects, technical solutions and advantages of the present invention, the following description will be further provided in conjunction with the accompanying drawings and examples.
As shown in fig. 1, a power supply intelligent client processing method provided by the present invention is shown, which includes the following steps:
step S10, receiving customer service request voice data of a customer through the power supply intelligent customer system;
step S11, the intelligent voice service carries out voice recognition to the received voice data of the client, and provides corresponding service by the intelligent voice service according to the semantics of the client, including: selecting a text and/or voice form for customer service response;
specifically, in an example, the step S11 may specifically include the following steps:
when a voice signal is received to trigger voice recognition, judging whether a speaking habit of a corresponding user is stored or not according to user login information, if so, performing endpoint detection on detection parameters after corresponding adjustment according to the speaking habit of the user; and if not, carrying out endpoint detection based on the universal detection parameters. By establishing the speaking habits of different users to configure the corresponding endpoint detection strategy, the accuracy and efficiency of endpoint detection can be effectively improved.
The method comprises the steps of identifying endpoints in a voice signal through a time domain characteristic method and a frequency domain characteristic method. Endpoint detection is the determination of the beginning and end of speech from a segment of a signal containing speech. Effective endpoint detection not only reduces processing time, but also eliminates noise interference in the silence. There are two main types of methods at present: a time domain characterization method and a frequency domain characterization method. The time domain characteristic method is to detect the end point by using the voice volume and the zero crossing rate, the calculated amount is small, but misjudgment can be caused to the gas sound, and different volume calculation can cause different detection results. The frequency domain characteristic method is used for detecting voice by using the frequency spectrum variation and entropy detection of sound, and the calculated amount is large.
More specifically, in a practical example, the step S11 further includes:
and matching corresponding customer service voice data from a preset corpus according to the voice data sent by the user and responding to the user.
More specifically, in a practical example, the step S11 further includes:
judging a current processing strategy, and adopting intelligent processing or manual processing according to the current processing strategy; wherein, the processing strategy is preset and comprises the following steps: intelligent processing priority, manual processing priority or both proportional processing strategies.
More specifically, in a practical example, the step S11 further includes:
and judging whether the voice recognition result is related to the hot problem, and if so, recommending the hot problem to the user.
Step S12, when the intelligent voice customer service is monitored to be unable to solve the problem of the customer, or the customer is identified to have abnormal condition or the customer is detected to be discontented with serious emotion; or when the number of times of conversation interaction between the intelligent voice customer service and the customer is counted to exceed the preset number, the manual customer service is switched to process.
It is understood that after receiving a customer service request voice data from a customer, the voice data may be pre-processed, including endpoint detection, noise cancellation, and intelligent interruption processing; specifically, the method may include the steps of:
converting the speech data into a data format suitable for acoustic model processing, the data format comprising: wav or pcm audio at a mono 16-bit 16000 sampling rate;
identifying endpoints in the voice signals to determine the starting and ending points of the user speaking; once the user starts speaking, the voice starts to flow to a following recognition engine (namely a voice recognition processing unit) until the end of the user speaking is detected, and silence detection in the voice recognition can determine whether the user finishes speaking; this way the recognition engine starts the recognition process while the user is speaking.
Eliminating background noise, carrying out scene analysis, firstly carrying out scene type judgment on the voice signal, and after determining the scene type, carrying out noise elimination according to the preset noise elimination modes corresponding to different scenes; the noise elimination is mainly to eliminate background noise, and can be performed based on the scene where the user is located, for example, scene type judgment is performed on the voice signal, after the scene type is determined, noise elimination is performed according to the preset noise elimination mode corresponding to different scenes, and by setting corresponding noise elimination strategies for various scene types, the voice noise elimination processing effect can be improved, and the accuracy of subsequent voice recognition is ensured. In different scenes, different noise reduction modes can be learned; specifically, for each scene, noise reduction processing can be performed through various noise reduction algorithms, a noise reduction mode adapted to the scene is found, and after the noise reduction mode corresponding to each scene is determined, noise elimination can be performed on each scene by using the corresponding noise reduction mode.
And responding to the latest voice signal of the user in real time, and interrupting the current task or continuing the current task according to the set interrupt processing mode. In some scenes, the intelligent interruption means that a user can speak own requirements at any time in the process of playing the prompt words of the self-service voice service without waiting for the playing to be finished, and the system can automatically judge, immediately stop the playing of the prompt words and respond to the voice indication of the user. The intelligent interruption function enables a user to speak own requirements at any time in the prompt language playing process of self-service voice service without waiting for the playing to be finished, the system can automatically judge, the prompt language is immediately stopped from being played, and the voice instruction of the user is responded. The function enables human-computer interaction to be more efficient, faster and natural, and is beneficial to enhancing customer experience.
It is understood that in various embodiments, the pre-processing may also include filtering, a/D conversion, pre-emphasis, and the like.
Fig. 2 is a schematic structural diagram of an embodiment of a power supply smart client processing system according to the present invention, and is also shown in fig. 3. In this embodiment, the power supply smart client processing system 1 includes:
a voice data receiving unit 10, configured to receive, by a power supply smart client system, client service request voice data of a client;
the recognition response unit 11 is configured to perform voice recognition on the received voice data of the client by the intelligent voice service, and provide a corresponding service by the intelligent voice service according to the semantics of the client, and includes: selecting a text and/or voice form for customer service response;
the artificial customer service triggering and processing unit 12 is used for identifying that the customer has an abnormal condition or detecting that the customer is unsatisfied with serious emotion when the intelligent voice customer service is monitored to be incapable of solving the problem of the customer; or when the number of times of conversation interaction between the intelligent voice customer service and the customer is counted to exceed the preset number, the manual customer service is switched to process.
Preferably, the identification response unit 11 further includes:
a processing policy judgment unit 110, configured to judge a current processing policy, and adopt intelligent processing or manual processing according to the current processing policy; wherein, the processing strategy is preset and comprises the following steps: intelligent processing priority, manual processing priority or proportional processing strategies of the intelligent processing priority and the manual processing priority;
the matching processing unit 111 is used for matching corresponding customer service voice data from a preset corpus according to voice data sent by a user and responding to the user;
and a hot problem recommending unit 112, configured to determine whether the voice recognition result is related to a hot problem, and if the determination result is yes, perform hot problem recommendation to the user.
For more details, reference may be made to the foregoing description of fig. 1, which is not repeated herein.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a power supply intelligent client processing method and a system, wherein a power supply intelligent client system receives client service request voice data of a client; the intelligent voice customer service carries out voice recognition on the received voice data of the client, and provides corresponding customer service according to the semantics of the client by the intelligent voice customer service, and the method comprises the following steps: selecting a text and/or voice form for customer service response; when the intelligent voice customer service is monitored to be incapable of solving the problems of the customers, or the abnormal conditions of the customers are identified or the serious discontent emotions of the customers are detected; or when the number of times of conversation interaction between the intelligent voice customer service and the customer is counted to exceed the preset number, the manual customer service is switched to process. By implementing the invention, the manual customer service can be liberated, and the pertinence of the customer service can be improved, so that the service efficiency is improved, and the use experience of a user is finally improved.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not to be limited to the disclosed embodiment, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (8)
1. A power supply intelligent client processing method is characterized by comprising the following steps:
step S10, receiving customer service request voice data of a customer through the power supply intelligent customer system;
step S11, the intelligent voice service carries out voice recognition to the received voice data of the client, and provides corresponding service by the intelligent voice service according to the semantics of the client, including: selecting a text and/or voice form for customer service response;
step S12, when the intelligent voice customer service is monitored to be unable to solve the problem of the customer, or the customer is identified to have abnormal condition or the customer is detected to be discontented with serious emotion; or when the number of times of conversation interaction between the intelligent voice customer service and the customer is counted to exceed the preset number, the manual customer service is switched to process.
2. The method of claim 1, wherein the step S11 further comprises:
and matching corresponding customer service voice data from a preset corpus according to the voice data sent by the user and responding to the user.
3. The method of claim 1, further comprising:
judging a current processing strategy, and adopting intelligent processing or manual processing according to the current processing strategy; wherein, the processing strategy is preset and comprises the following steps: intelligent processing priority, manual processing priority or both proportional processing strategies.
4. The method of claim 3, wherein the step S11 further comprises:
and judging whether the voice recognition result is related to the hot problem, and if so, recommending the hot problem to the user.
5. A powered smart client processing system, comprising:
the voice data receiving unit is used for receiving the customer service request voice data of the customer through the power supply intelligent customer system;
the recognition response unit is used for carrying out voice recognition on the received voice data of the client by the intelligent voice client service and providing corresponding client service by the intelligent voice client service according to the semantics of the client, and comprises the following steps: selecting a text and/or voice form for customer service response;
the artificial customer service triggering and processing unit is used for identifying abnormal conditions of the customer or detecting that the customer is unsatisfied with serious emotion when the intelligent voice customer service is monitored to be incapable of solving the problems of the customer; or when the number of times of conversation interaction between the intelligent voice customer service and the customer is counted to exceed the preset number, the manual customer service is switched to process.
6. The system of claim 5, wherein the identification response unit further comprises:
and the matching processing unit is used for matching corresponding customer service voice data from a preset corpus according to the voice data sent by the user and responding to the user.
7. The system of claim 6, further comprising:
the processing strategy judging unit is used for judging the current processing strategy and adopting intelligent processing or manual processing according to the current processing strategy; wherein, the processing strategy is preset and comprises the following steps: intelligent processing priority, manual processing priority or both proportional processing strategies.
8. The system of claim 7, wherein the recognition response unit further comprises:
and the hot problem recommending unit is used for judging whether the voice recognition result is related to the hot problem or not, and if so, recommending the hot problem to the user.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011063983.5A CN112185365A (en) | 2020-09-30 | 2020-09-30 | Power supply intelligent client processing method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011063983.5A CN112185365A (en) | 2020-09-30 | 2020-09-30 | Power supply intelligent client processing method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112185365A true CN112185365A (en) | 2021-01-05 |
Family
ID=73947527
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011063983.5A Pending CN112185365A (en) | 2020-09-30 | 2020-09-30 | Power supply intelligent client processing method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112185365A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113555011A (en) * | 2021-07-07 | 2021-10-26 | 广西电网有限责任公司 | Electric power industry customer service center voice translation modeling method, system and medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103811009A (en) * | 2014-03-13 | 2014-05-21 | 华东理工大学 | Smart phone customer service system based on speech analysis |
| CN109618068A (en) * | 2018-11-08 | 2019-04-12 | 上海航动科技有限公司 | A kind of voice service method for pushing, device and system based on artificial intelligence |
| CN109712610A (en) * | 2019-03-12 | 2019-05-03 | 百度在线网络技术（北京）有限公司 | The method and apparatus of voice for identification |
| CN109767792A (en) * | 2019-03-18 | 2019-05-17 | 百度国际科技（深圳）有限公司 | Sound end detecting method, device, terminal and storage medium |
| CN109859774A (en) * | 2019-01-02 | 2019-06-07 | 珠海格力电器股份有限公司 | Voice equipment and method and device for adjusting endpoint detection sensitivity thereof and storage medium |
| CN110890096A (en) * | 2019-10-12 | 2020-03-17 | 深圳供电局有限公司 | Intelligent voice system and method based on voice analysis |
-
2020
- 2020-09-30 CN CN202011063983.5A patent/CN112185365A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103811009A (en) * | 2014-03-13 | 2014-05-21 | 华东理工大学 | Smart phone customer service system based on speech analysis |
| CN109618068A (en) * | 2018-11-08 | 2019-04-12 | 上海航动科技有限公司 | A kind of voice service method for pushing, device and system based on artificial intelligence |
| CN109859774A (en) * | 2019-01-02 | 2019-06-07 | 珠海格力电器股份有限公司 | Voice equipment and method and device for adjusting endpoint detection sensitivity thereof and storage medium |
| CN109712610A (en) * | 2019-03-12 | 2019-05-03 | 百度在线网络技术（北京）有限公司 | The method and apparatus of voice for identification |
| CN109767792A (en) * | 2019-03-18 | 2019-05-17 | 百度国际科技（深圳）有限公司 | Sound end detecting method, device, terminal and storage medium |
| CN110890096A (en) * | 2019-10-12 | 2020-03-17 | 深圳供电局有限公司 | Intelligent voice system and method based on voice analysis |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113555011A (en) * | 2021-07-07 | 2021-10-26 | 广西电网有限责任公司 | Electric power industry customer service center voice translation modeling method, system and medium |
| CN113555011B (en) * | 2021-07-07 | 2022-05-27 | 广西电网有限责任公司 | Electric power industry customer service center voice translation modeling method, system and medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11922095B2 (en) | Device selection for providing a response | |
| CN109671426B (en) | Voice control method and device, storage medium and air conditioner | |
| US7069221B2 (en) | Non-target barge-in detection | |
| US11763819B1 (en) | Audio encryption | |
| CN111508474A (en) | Voice interruption method, electronic equipment and storage device | |
| CN112185385A (en) | Intelligent client processing method and system for power supply field | |
| CN111833902B (en) | Awakening model training method, awakening word recognition device and electronic equipment | |
| US11677871B2 (en) | Methods and apparatus for bypassing holds | |
| CN112185392A (en) | Voice recognition processing system for power supply intelligent client | |
| CN110995943B (en) | Multi-user streaming voice recognition method, system, device and medium | |
| CN110364178B (en) | Voice processing method and device, storage medium and electronic equipment | |
| CN111816216A (en) | Voice activity detection method and device | |
| CN112185365A (en) | Power supply intelligent client processing method and system | |
| CN107680592A (en) | A kind of mobile terminal sound recognition methods and mobile terminal and storage medium | |
| CN107767860B (en) | Voice information processing method and device | |
| JP3721948B2 (en) | Voice start edge detection method, voice section detection method in voice recognition apparatus, and voice recognition apparatus | |
| CN111785277B (en) | Speech recognition method, device, computer readable storage medium and processor | |
| CN112185393A (en) | Voice recognition processing method for power supply intelligent client | |
| CN111464644B (en) | Data transmission method and electronic equipment | |
| CN115731915A (en) | Active dialogue method and device for dialogue robot, electronic device and storage medium | |
| CN111354358B (en) | Control method, voice interaction device, voice recognition server, storage medium, and control system | |
| CN111292739B (en) | Voice control method and device, storage medium and air conditioner | |
| CN116975242A (en) | Voice broadcast interrupt processing method, device, equipment and storage medium | |
| CN117594062A (en) | Voice response method, device and medium applied to real-time session and electronic equipment | |
| CN117935808A (en) | Intelligent voice interaction method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |