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Multifunctional intelligent man-machine interaction method based on artificial intelligence

A human-computer interaction and artificial intelligence technology, applied in the field of human-computer interaction, can solve problems such as user intention ambiguity, and achieve the effect of convenient, fast and intelligent interaction.

Inactive Publication Date: 2018-10-02
UNIV FOR SCI & TECH ZHENGZHOU
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Voice-based communication between humans and computers becomes possible. The voice-driven human-computer interaction method provides a new way for human-computer interaction, liberates people's hands, and can effectively improve the convenience and ease of use of human-computer interaction. Due to the existence of certain errors in speech recognition and the ambiguity of user intentions in the process of oral communication, human-computer natural language interaction is an inaccurate information interaction. A human-computer voice dialogue generally requires multiple reciprocating exchanges between man and machine. , so the human-computer dialogue system needs to perform various links such as speech recognition and understanding, dialogue generation, and speech synthesis in order to complete the communication with the user. However, the current common human-computer interaction devices do not have mature voice-driven intelligent human-computer interaction methods. and related systems

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0018] This embodiment provides a multifunctional intelligent human-computer interaction method based on artificial intelligence, and the specific steps are as follows:

[0019] (1) Information input: first accept the voice input by the user through the voice input device, then recognize the user's voice through the voice recognition module, determine the recognition result, and then convert the voice information into text information first, and then convert the text information into independent Words, so as to obtain multiple words, and then find out the corresponding part of speech according to the combination mode in the text information, the position in different sentence patterns, and the grammatical rules of the multiple word segmentations, and obtain the words with the part of speech. And add semantic tags to words with parts of speech;

[0020] (2) Speech analysis: The dialogue manager performs semantic analysis on the phrase segmentation with tags according to the sem...

Embodiment 2

[0024] This embodiment provides a multifunctional intelligent human-computer interaction method based on artificial intelligence, and the specific steps are as follows

[0025] (1) Information input: first accept the voice input by the user through the voice input device, then recognize the user's voice through the voice recognition module, determine the recognition result, and then convert the voice information into text information first, and then convert the text information into independent Words, so as to obtain multiple words, and then find out the corresponding part of speech according to the combination mode in the text information, the position in different sentence patterns, and the grammatical rules of the multiple word segmentations, and obtain the words with the part of speech. And add semantic tags to words with parts of speech;

[0026] (2) Speech analysis: The dialogue manager performs semantic analysis on the phrase segmentation with tags according to the sema...

Embodiment 3

[0030] This embodiment provides a multifunctional intelligent human-computer interaction method based on artificial intelligence, and the specific steps are as follows:

[0031] (1) Information input: first accept the voice input by the user through the voice input device, then recognize the user's voice through the voice recognition module, determine the recognition result, and then convert the voice information into text information first, and then convert the text information into independent Words, so as to obtain multiple words, and then find out the corresponding part of speech according to the combination mode in the text information, the position in different sentence patterns, and the grammatical rules of the multiple word segmentations, and obtain the words with the part of speech. And add semantic tags to words with parts of speech;

[0032] (2) Speech analysis: The dialogue manager performs semantic analysis on the phrase segmentation with tags according to the sem...

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PUM

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Abstract

The invention provides a multifunctional intelligent man-machine interaction method based on artificial intelligence and belongs to the field of artificial intelligence. The method comprises the specific steps of (1) information input, wherein a speech input by a user is received through a speech input device; (2) speech analysis, wherein a dialog manager performs semantic analysis on phrase segmented words with tags according to a semantic comprehension module; (3) instruction execution, wherein a man-machine interaction device comprises an information receiving module, a central processing module and a command execution module; and (4) information input type determination, wherein the user reads and inputs sound information in a mandarin tone or inputs information by typing through a peripheral keyboard or a recording method. According to the method, the current character type of the man-machine interaction device, a command sent for the man-machine interaction device and the emotiontype of the command are acquired, a response is made to the command according to the character type and the emotion type of the command, and therefore interaction between a man and a machine can be more intelligent.

Description

technical field [0001] The disclosure of the present invention relates to a human-computer interaction method, in particular to a multifunctional intelligent human-computer interaction method based on artificial intelligence. Background technique [0002] Voice-based communication between humans and computers becomes possible. The voice-driven human-computer interaction method provides a new way for human-computer interaction, liberates people's hands, and can effectively improve the convenience and ease of use of human-computer interaction. Due to the existence of certain errors in speech recognition and the ambiguity of user intentions in the process of oral communication, human-computer natural language interaction is an inaccurate information interaction. A human-computer voice dialogue generally requires multiple reciprocating exchanges between man and machine. , so the human-computer dialogue system needs to perform various links such as speech recognition and understa...

Claims

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Application Information

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IPC IPC(8): G06F3/16G10L15/22G10L15/26G10L15/18
CPCG06F3/16G10L15/1822G10L15/22G10L15/26G10L2015/223
Inventor 齐仁龙张亚超朱小会
Owner UNIV FOR SCI & TECH ZHENGZHOU