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Speech recognition method and device

A voice recognition and voice information technology, applied in natural language data processing, instruments, computing, etc., can solve the problem that the target business is not the user, cannot accurately analyze the user's needs of voice information, and does not really understand the user's intention to send the voice information, etc. problem, to achieve the effect of improving the accuracy

Active Publication Date: 2019-08-20
HISENSE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Determine the target business corresponding to the voice information purely through core words, and eventually there may be multiple target businesses. Users need to check each target business in turn and determine whether each target business is the business they really expect; The method of determining the target service corresponding to the voice information does not really understand the user's intention to send the voice information, resulting in the determined target service may not be the service that the user really expects; therefore, the existing technology cannot accurately analyze the voice information user needs in

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  • Speech recognition method and device

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Embodiment Construction

[0025] figure 1 It is a flow chart of the speech recognition method provided by the embodiment of the present invention. In the prior art, by analyzing the keywords of the voice information, the expanded search keywords are analyzed according to the keywords, and there may be multiple search results obtained by searching based on the keywords or the expanded search keywords, and the user needs to view each search result in turn , to determine whether the retrieval result is the query result that it really wants, therefore, the recognition accuracy to the user's needs is reduced. For this technical problem, the embodiment of the present invention provides a speech recognition method. The speech recognition provided by the embodiment of the present invention The subject of execution of the method may be a speech recognition device, or may be a terminal device or a server for executing the above speech recognition method. Specifically, the terminal device may be a smart TV, a sm...

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Abstract

Embodiments of the invention provide a speech recognition method and device. The speech recognition method comprises the steps: acquiring a plurality of word segments of a target text corresponding to speech information; determining a target word in the word segments; determining a correlation between each non-target word in the word segments and the target word; determining a correlation degree of each non-target word and the target word according to the correlation of each non-target word and the target word; and according to the correlation degree, determining service requirements of a user. In the embodiments provided by the invention, the service requirements of the user are determined according to the correlation degree of each non-target word and the target word, the correlation degree reflects the intense degree of desiring to obtain the service content corresponding to the service attribute of the target word by the user, the correlation degrees between different service attributes and the user requirements are different, and real service requirements of the user can be determined according to the correlation degrees; compared with determining a target service corresponding to the speech information by simply utilizing core words or the number of the word segments recognized by each service, the accuracy of analyzing the user requirements in the speech information is improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of voice recognition, and in particular, to a voice recognition method and device. Background technique [0002] Speech recognition is a very important human-computer interaction technology, and speech recognition technology has become a research hotspot. [0003] In the prior art, the core words in the speech information are obtained through lexical analysis, syntactic analysis and semantic analysis, and the target service corresponding to the speech information is determined through the core words, or multiple participle words in the speech information are obtained through lexical analysis, syntactic analysis and semantic analysis, Determine the preset number of identifiable participles for each service, compare the number of identifiable participles for each service, and determine the target service corresponding to the voice information. [0004] Determine the target business corre...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/27
CPCG06F40/211G06F40/284
Inventor 陈晓敏陈仲帅李霞
Owner HISENSE