CN110677541B - System and method for answering call with assistance of artificial intelligence - Google Patents
System and method for answering call with assistance of artificial intelligence Download PDFInfo
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- 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
- H04M3/487—Arrangements for providing information services, e.g. recorded voice services or time announcements
- H04M3/493—Interactive information services, e.g. directory enquiries ; Arrangements therefor, e.g. interactive voice response [IVR] systems or voice portals
- H04M3/4936—Speech interaction details
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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
- G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
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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
- G10L15/08—Speech classification or search
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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
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- 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
- H04M3/42212—Call pickup
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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
- G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
- G10L15/063—Training
- G10L2015/0635—Training updating or merging of old and new templates; Mean values; Weighting
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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
- G10L15/08—Speech classification or search
- G10L2015/088—Word spotting
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Abstract
The invention relates to the field of voice call, in particular to a system and a method for answering a call in an artificial intelligence auxiliary mode, which comprises a controller, wherein the controller is connected with a mode selection module for selecting a response mode by a user, the response mode selected by the user by the mode selection module comprises an artificial response mode and an intelligent response mode, the intelligent response mode comprises an earphone end response mode and a mobile end response mode, the system also comprises a call voice receiving module for receiving call voice from a mobile end, the controller is connected with a semantic recognition module for performing semantic recognition on the call voice received by the call voice receiving module, and the controller is connected with a recognition storage module for storing the recognition result of the semantic recognition module; the technical scheme provided by the invention can effectively overcome the defect of low information acquisition efficiency in the prior art.
Description
Technical Field
The invention relates to the field of voice communication, in particular to a system and a method for answering a call in an artificial intelligence auxiliary mode.
Background
The traditional method can only select manual conversation when receiving the call, the user needs to durably make a call after obtaining conversation content information through the conversation, but the conversation content mode of most of the telephones is fixed, particularly information telephones such as take-out, sales promotion, express delivery and the like.
The energy of people is greatly consumed when the phone is answered, normal work is interrupted, and information acquisition is influenced when the phone is not answered. The existing solution is to screen harassing calls, but the method has the defects of inaccuracy and incapability of identifying many calls, and information acquisition is affected by filtering stranger calls. Therefore, at present, there is no system and method capable of effectively improving the information obtaining efficiency of the call.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects in the prior art, the invention provides a system and a method for answering a call in an artificial intelligence auxiliary mode, which can effectively overcome the defect that the efficiency of obtaining information in a call is low in the prior art.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme:
a system for answering a call in an artificial intelligence auxiliary mode comprises a controller, wherein the controller is connected with a mode selection module used for selecting a response mode by a user, the response mode selected by the user by the mode selection module comprises an artificial response mode and an intelligent response mode, and the intelligent response mode comprises an earphone end response mode and a mobile end response mode;
the controller is connected with a semantic recognition module used for performing semantic recognition on the call voice received by the call voice receiving module, and the controller is connected with a recognition storage module used for storing the recognition result of the semantic recognition module;
the controller is connected with a speech technology generation module used for generating answering speech technology, the controller is connected with a keyword query module used for extracting keywords from the recognition results stored in the recognition storage module and selecting the appropriate speech technology from the speech technology generation module by combining semantics, the controller is connected with a response speech generation module used for orderly combining the speech technologies selected by the keyword query module to generate response speech, and the response speech generation module sends the response speech to the mobile terminal through a wireless communication module according to the current response mode set by the controller;
and in the call process of the intelligent response mode, the controller sends the contents in the identification storage module and the response voice generation module to a mobile terminal through the wireless communication module in the forms of conversation texts and original voices.
Preferably, when the controller sets the manual response mode as the current response mode, the user directly communicates through the earphone end or the mobile end; when the controller sets the response mode of the earphone end to the current response mode, the earphone end directly carries out conversation through the response voice generated by the response voice generating module; when the controller sets the mobile terminal response mode as the current response mode, the response voice generation module sends the generated response voice to the mobile terminal through the wireless communication module, and the mobile terminal directly carries out communication.
Preferably, the controller is connected to a time setting module for setting an opening time of the intelligent response mode in the mode selection module, and the controller is connected to a time determination module for determining whether a time for the call voice receiving module to receive the call voice is within a time range set by the time setting module.
Preferably, when the time judgment module judges that the time for receiving the call voice is within a set time range, the controller sets the intelligent response mode in the mode selection module as the current response mode; otherwise, the controller takes the response mode selected by the user as the current response mode.
Preferably, the intelligent answering system further comprises a call reminding module connected with the controller and used for switching to the manual answering mode and reminding a user when a call cannot be processed in the intelligent answering mode, and when the call reminding module is started, the controller updates the algorithm model for generating the dialogues in the dialogues generating module according to the identification result stored in the identification storage module.
A method for answering a call assisted by artificial intelligence comprises the following steps:
s1, selecting a manual response mode, an earphone end response mode and a mobile end response mode in the mode selection module by a user, and setting the starting time of the earphone end response mode and the mobile end response mode in the time setting module;
s2, the call voice receiving module receives call voice from the mobile terminal, and the time judging module judges whether the time for the call voice receiving module to receive the call voice is within the time range set by the time setting module;
s3, when the time judging module judges that the time for receiving the call voice is in the set time range, the controller sets the earphone end response mode or the mobile end response mode as the current response mode; otherwise, the controller takes the response mode selected by the user as the current response mode;
s4, when the current response mode is the manual response mode, the user directly communicates through the earphone end or the mobile end;
s5, when the current response mode is the earphone end response mode, the semantic recognition module carries out semantic recognition on the call voice received by the call voice receiving module, the recognition storage module stores the recognition result of the semantic recognition module, the keyword query module extracts keywords from the recognition result stored in the recognition storage module and selects a proper telephone operation from the telephone operation generation module by combining the semantics, the response voice generation module carries out ordered combination on the telephone operations selected by the keyword query module to generate response voice, and the earphone end directly carries out the call through the response voice generated by the response voice generation module;
s6, when the current response mode is the mobile terminal response mode, the response voice generating module sends the response voice generated by the response voice generating module in S5 to the mobile terminal through the wireless communication module, and the mobile terminal directly carries out communication;
and S7, the controller sends the contents in the recognition storage module and the response voice generation module to the mobile terminal through the wireless communication module in the forms of conversation text and original voice, so that the user can inquire the conversation contents of the intelligent response in time.
Preferably, when the earphone end response mode and the mobile end response mode cannot process a call, the controller switches the current response mode to the manual response mode and reminds the user through the call reminding module.
Preferably, when the call reminding module is started, the controller updates the algorithm model for generating the dialogues in the dialogues generation module according to the recognition results stored in the recognition storage module.
(III) advantageous effects
Compared with the prior art, the system and the method for answering the call in an artificial intelligence auxiliary mode have the following beneficial effects:
1. the user selects a manual response mode, an earphone end response mode and a mobile end response mode in the mode selection module, and sets the starting time of the earphone end response mode and the mobile end response mode in the time setting module, wherein the earphone end response mode and the mobile end response mode are both intelligent response modes, so that a call does not need to be answered manually, information can be conveniently acquired at night or when the call is inconvenient to answer, and the call information is not disturbed while the call information is acquired;
2. when the current response mode is the manual response mode, the user directly communicates through the earphone end or the mobile end; when the current response mode is the earphone end response mode and the mobile end response mode, the earphone end and the mobile end directly answer the conversation respectively, and the conversation is automatically carried out by using artificial intelligence, so that the daily work is not disturbed, and the efficiency of acquiring information is effectively improved;
3. when the current response mode is the earphone end response mode and the mobile end response mode, the controller sends the contents in the recognition storage module and the response voice generation module to the mobile end through the wireless communication module in the forms of conversation texts and original voices, so that a user can inquire the conversation contents of intelligent response in time;
4. when the earphone end response mode and the mobile end response mode cannot process calls, the controller switches the current response mode into the manual response mode and reminds the user through the call reminding module, and when the call reminding module is started, the controller updates the algorithm model for generating the call in the call generation module according to the recognition result stored in the recognition storage module, so that the adaptability and the processing capacity of the system are effectively improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic diagram of the system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
An artificial intelligence assisted telephone answering system is shown in fig. 1 and comprises a controller, wherein the controller is connected with a mode selection module used for selecting a response mode by a user, the response mode selected by the user by the mode selection module comprises an artificial response mode and an intelligent response mode, and the intelligent response mode comprises an earphone end response mode and a mobile end response mode;
the controller is connected with a semantic recognition module used for performing semantic recognition on the call voice received by the call voice receiving module, and the controller is connected with a recognition storage module used for storing recognition results of the semantic recognition module;
the controller is connected with a speech generating module used for generating answering speech, the controller is connected with a keyword query module used for extracting keywords from the recognition results stored in the recognition storage module and selecting proper speech from the speech generating module by combining semantics, the controller is connected with a response speech generating module used for orderly combining the speech selected by the keyword query module to generate response speech, and the response speech generating module sends the response speech to the mobile terminal through the wireless communication module according to the current response mode set by the controller;
in the call process of the intelligent response mode, the controller sends the contents in the recognition storage module and the response voice generation module to the mobile terminal through the wireless communication module in the forms of conversation texts and original voices.
When the controller sets the manual response mode as the current response mode, the user directly communicates through the earphone end or the mobile end; when the controller sets the response mode of the earphone end to be the current response mode, the earphone end directly carries out conversation through the response voice generated by the response voice generating module; when the controller sets the mobile terminal response mode as the current response mode, the response voice generation module sends the generated response voice to the mobile terminal through the wireless communication module, and the mobile terminal directly carries out communication.
The controller is connected with a time setting module used for setting the opening time of the intelligent response mode in the mode selection module, and the controller is connected with a time judgment module used for judging whether the time for receiving the call voice by the call voice receiving module is within the set time range of the time setting module.
When the time judgment module judges that the time for receiving the call voice is within the set time range, the controller sets the intelligent response mode in the mode selection module as the current response mode; otherwise, the controller takes the response mode selected by the user as the current response mode.
The intelligent answering system further comprises a conversation reminding module which is connected with the controller and used for switching to an artificial answering mode and reminding a user when the conversation cannot be processed in the intelligent answering mode, and when the conversation reminding module is started, the controller updates an algorithm model for generating the conversation in the conversation generating module according to the recognition result stored in the recognition storage module.
A method for answering a call assisted by artificial intelligence comprises the following steps:
s1, selecting a manual response mode, an earphone end response mode and a mobile end response mode in the mode selection module by a user, and setting the starting time of the earphone end response mode and the mobile end response mode in the time setting module;
s2, the call voice receiving module receives call voice from the mobile terminal, and the time judging module judges whether the time for the call voice receiving module to receive the call voice is within the time range set by the time setting module;
s3, when the time judging module judges that the time for receiving the call voice is in the set time range, the controller sets the earphone end response mode or the mobile end response mode as the current response mode; otherwise, the controller takes the response mode selected by the user as the current response mode;
s4, when the current response mode is the manual response mode, the user directly communicates through the earphone end or the mobile end;
s5, when the current response mode is the earphone end response mode, the semantic recognition module carries out semantic recognition on the call voice received by the call voice receiving module, the recognition storage module stores the recognition result of the semantic recognition module, the keyword query module extracts keywords from the recognition result stored in the recognition storage module and selects a proper telephone operation from the telephone operation generation module by combining the semantics, the response voice generation module carries out ordered combination on the telephone operations selected by the keyword query module to generate response voice, and the earphone end directly carries out the call through the response voice generated by the response voice generation module;
s6, when the current response mode is the mobile terminal response mode, the response voice generating module sends the response voice generated by the response voice generating module in S5 to the mobile terminal through the wireless communication module, and the mobile terminal directly carries out communication;
and S7, the controller sends the contents in the recognition storage module and the response voice generation module to the mobile terminal through the wireless communication module in the forms of conversation text and original voice, so that the user can inquire the conversation contents of the intelligent response in time.
When the earphone end response mode and the mobile end response mode cannot process the call, the controller switches the current response mode into the manual response mode and reminds the user through the call reminding module.
When the call reminding module is started, the controller updates the algorithm model for generating the dialogs in the dialogs generation module according to the identification result stored in the identification storage module.
The user selects a manual response mode, an earphone end response mode and a mobile end response mode in the mode selection module, and sets the starting time of the earphone end response mode and the mobile end response mode in the time setting module, wherein the earphone end response mode and the mobile end response mode are both intelligent response modes, and the user does not need to manually answer a call, so that the user can conveniently obtain information at night or when the user is inconvenient to answer the call, and the user is not disturbed when the user obtains call information.
The call voice receiving module receives call voice from the mobile terminal, and the time judging module judges whether the time for receiving the call voice by the call voice receiving module is within the time range set by the time setting module. When the time judging module judges that the time for receiving the call voice is within the set time range, the controller sets the earphone end response mode or the mobile end response mode as the current response mode; otherwise, the controller takes the response mode selected by the user as the current response mode.
When the current response mode is the manual response mode, the user directly communicates through the earphone end or the mobile end; when the current response mode is the earphone end response mode and the mobile end response mode, the conversation is directly answered by the earphone end and the mobile end respectively, the conversation is automatically carried out by utilizing artificial intelligence, the daily work cannot be disturbed, and the efficiency of obtaining information is effectively improved.
When the current response mode is the earphone end response mode, the semantic recognition module carries out semantic recognition on the call voice received by the call voice receiving module, the recognition storage module stores recognition results of the semantic recognition module, the keyword query module extracts keywords from the recognition results stored in the recognition storage module and selects proper dialogs from the dialogs generation module in combination with semantics, the response voice generation module carries out ordered combination on the dialogs selected by the keyword query module to generate response voice, and the earphone end directly carries out call through the response voice generated by the response voice generation module.
When the current response mode is the mobile terminal response mode, the response voice generation module sends the response voice generated by the response voice generation module to the mobile terminal through the wireless communication module, and the mobile terminal directly carries out communication.
When the current response mode is the earphone end response mode and the mobile end response mode, the controller sends the contents in the recognition storage module and the response voice generation module to the mobile end through the wireless communication module in the forms of conversation texts and original voices, so that a user can inquire the conversation contents of intelligent response in time.
When the earphone end response mode and the mobile end response mode cannot process calls, the controller switches the current response mode into the manual response mode and reminds the user through the call reminding module, and when the call reminding module is started, the controller updates the algorithm model for generating the call in the call generation module according to the recognition result stored in the recognition storage module, so that the adaptability and the processing capacity of the system are effectively improved.
In the technical solution of the present application, the controller may employ a QCC5216 chip. The technical scheme of the application can be applied to Bluetooth earphones and other communication equipment connected with the smart phone in a wireless or wired mode, and can also be directly applied to the smart phone.
In addition, the mobile terminal response mode in the technical scheme of the application can integrate the semantic recognition module, the recognition storage module, the speech generating module, the keyword query module and the response speech generating module into a mobile terminal built-in APP, the APP generates response speech according to the call record, the response speech is sent to the earphone terminal through the Bluetooth module, the earphone terminal directly carries out call, namely, the response speech is generated in the mobile terminal, and the mobile terminal response mode is different from the technical scheme in which the response speech is generated in the earphone terminal.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (8)
1. A system for answering a call assisted by artificial intelligence, comprising a controller, characterized in that: the controller is connected with a mode selection module used for selecting a response mode by a user, the response mode selected by the user by the mode selection module comprises a manual response mode and an intelligent response mode, and the intelligent response mode comprises an earphone end response mode and a mobile end response mode;
the controller is connected with a semantic recognition module used for performing semantic recognition on the call voice received by the call voice receiving module, and the controller is connected with a recognition storage module used for storing the recognition result of the semantic recognition module;
the controller is connected with a speech technology generation module used for generating answering speech technology, the controller is connected with a keyword query module used for extracting keywords from the recognition results stored in the recognition storage module and selecting the appropriate speech technology from the speech technology generation module by combining semantics, the controller is connected with a response speech generation module used for orderly combining the speech technologies selected by the keyword query module to generate response speech, and the response speech generation module sends the response speech to the mobile terminal through a wireless communication module according to the current response mode set by the controller;
and in the call process of the intelligent response mode, the controller sends the contents in the identification storage module and the response voice generation module to a mobile terminal through the wireless communication module in the forms of conversation texts and original voices.
2. The system for artificial intelligence assisted answering of a call according to claim 1, wherein: when the controller sets the manual response mode as the current response mode, the user directly communicates through the earphone end or the mobile end; when the controller sets the response mode of the earphone end to the current response mode, the earphone end directly carries out conversation through the response voice generated by the response voice generating module; when the controller sets the mobile terminal response mode as the current response mode, the response voice generation module sends the generated response voice to the mobile terminal through the wireless communication module, and the mobile terminal directly carries out communication.
3. The system for artificial intelligence assisted answering of a call according to claim 1, wherein: the controller is connected with a time setting module used for setting the intelligent response mode starting time in the mode selection module, and the controller is connected with a time judgment module used for judging whether the time for receiving the call voice by the call voice receiving module is within the time range set by the time setting module.
4. The system for artificial intelligence assisted answering of a call according to claim 3, wherein: when the time judgment module judges that the time for receiving the call voice is within a set time range, the controller sets the intelligent response mode in the mode selection module as the current response mode; otherwise, the controller takes the response mode selected by the user as the current response mode.
5. The system for artificial intelligence assisted answering of a call according to claim 1, wherein: the intelligent answering system further comprises a call reminding module which is connected with the controller and used for switching to the manual answering mode and reminding a user when a call cannot be processed in the intelligent answering mode, and when the call reminding module is started, the controller updates an algorithm model for generating a call in the call generation module according to an identification result stored in the identification storage module.
6. A method for answering a call assisted by artificial intelligence is characterized by comprising the following steps: system for artificial intelligence assisted answering of calls according to any of claims 1-5, comprising the following steps:
s1, selecting a manual response mode, an earphone end response mode and a mobile end response mode in the mode selection module by a user, and setting the starting time of the earphone end response mode and the mobile end response mode in the time setting module;
s2, the call voice receiving module receives call voice from the mobile terminal, and the time judging module judges whether the time for the call voice receiving module to receive the call voice is within the time range set by the time setting module;
s3, when the time judging module judges that the time for receiving the call voice is in the set time range, the controller sets the earphone end response mode or the mobile end response mode as the current response mode; otherwise, the controller takes the response mode selected by the user as the current response mode;
s4, when the current response mode is the manual response mode, the user directly communicates through the earphone end or the mobile end;
s5, when the current response mode is the earphone end response mode, the semantic recognition module carries out semantic recognition on the call voice received by the call voice receiving module, the recognition storage module stores the recognition result of the semantic recognition module, the keyword query module extracts keywords from the recognition result stored in the recognition storage module and selects a proper telephone operation from the telephone operation generation module by combining the semantics, the response voice generation module carries out ordered combination on the telephone operations selected by the keyword query module to generate response voice, and the earphone end directly carries out the call through the response voice generated by the response voice generation module;
s6, when the current response mode is the mobile terminal response mode, the response voice generating module sends the response voice generated by the response voice generating module in S5 to the mobile terminal through the wireless communication module, and the mobile terminal directly carries out communication;
and S7, the controller sends the contents in the recognition storage module and the response voice generation module to the mobile terminal through the wireless communication module in the forms of conversation text and original voice, so that the user can inquire the conversation contents of the intelligent response in time.
7. The method of claim 6, wherein the method further comprises: when the earphone end response mode and the mobile end response mode cannot process the call, the controller switches the current response mode into the manual response mode and reminds the user through the call reminding module.
8. The method of claim 7, wherein the method further comprises: when the call reminding module is started, the controller updates the algorithm model for generating the dialogs in the dialogs generation module according to the identification result stored in the identification storage module.
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| CN105592196A (en) * | 2016-01-23 | 2016-05-18 | 广州市讯飞樽鸿信息技术有限公司 | Incoming call intelligent response method and system based on intelligent terminal |
| CN110278326A (en) * | 2019-06-11 | 2019-09-24 | 浙江百应科技有限公司 | A kind of telephone receiving method and system based on intelligent sound |
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