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A human-computer voice interaction system and method based on java Map

A voice interaction system, man-machine technology, applied in the input/output of user/computer interaction, speech analysis, speech recognition, etc., can solve the problem that it is not a complete sentence or the content of the user needs several sentences to express the completeness, etc. problem, to achieve the effect of simple implementation method, easy control and management

Inactive Publication Date: 2017-12-12
INST OF ACOUSTICS CHINESE ACAD OF SCI +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, oral language comprehension usually encounters such a problem. Sometimes the query proposed by the user is not a complete sentence or the content of the user needs several sentences to express completely. This requires the oral language understanding module to save and store the semantic elements of the context. collate, collate

Method used

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  • A human-computer voice interaction system and method based on java Map
  • A human-computer voice interaction system and method based on java Map

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Embodiment Construction

[0037] The method of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0038] Please combine the steps of the claims to add a very specific embodiment!

[0039] 1. Based on the domain knowledge, construct the key semantic elements of the domain. For example, in the field of weather, it is necessary to know the time of inquiry, the city of interest, and the type of inquiry (is it raining, what is the temperature, do you use an umbrella, what is PM2.5, etc.).

[0040] 2. When the user enters voice input, it is recognized as text and sent to the understanding server. The understanding server first conducts domain discrimination and understanding. For example, when the user inputs "will it rain tomorrow", the understanding server recognizes the domain as the weather query domain. The semantic key elements contained in the sentence include "tomorrow" and "is it raining?"

[0041] 3. Send the result obtained in...

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Abstract

The invention provides a system and a method for human and machine voice interaction based on Java Map. The system comprises a voice identifying module, a spoken language comprehending module, a dialogue management module, a language generating module and a voice synthesizing module, wherein the voice identifying module is used for receiving voice information inputted by a user, and identifying the voice information into text data, the spoken language comprehending module is used for performing semantic mining on the text data, and converting the text data into a type which can be identified by a machine, the semantic mining is used for integrating contextual information inputted by the user according to a storage and utilization strategy of context key semantic elements of the Java Map, and extracting semantic key elements of the identified text, the dialogue management module is used for controlling the dialogue process of the human and machine interaction, the language generating module is used for integrating fragmentary answers to obtain a fluent text which meets the logic language expression type of people, and the voice synthesizing module is used for converting the generated answer text into voice information, and broadcasting the voice information to the user.

Description

technical field [0001] The present invention relates to how to effectively use the calculation method of the context information proposed by the user in the human-computer interaction. Human-computer voice interaction system and method. Background technique [0002] The human-machine voice interaction system means that the user controls the machine through voice, and the machine truly understands what the user said and interacts with the user, truly realizing "a gentleman uses his mouth but not his hands". A typical human-computer voice interaction system consists of four parts: speech recognition, spoken language understanding, dialogue management and speech synthesis. The spoken language understanding part is to understand the text after speech recognition and convert it into machine language that the machine can understand, that is, semantic mining. However, oral language comprehension usually encounters such a problem. Sometimes the query proposed by the user is not a ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/01G06F17/27G10L15/26G10L13/08
CPCG06F3/011G10L13/08G10L15/22
Inventor 张艳马成龙潘接林颜永红
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI