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Voice recognition method and system

A voice recognition and voice signal technology, applied in the field of human-computer interaction, which can solve the problems of long update cycle and difficult implementation.

Active Publication Date: 2019-11-19
浙江同花顺智富软件有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, on the one hand, it is necessary to re-collect the corpus and train the model, resulting in a long update cycle; on the other hand, the specific vocabulary that each user cares about is different, and it is difficult to use a set of models to adapt to the scenarios of all users.

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Embodiment Construction

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings that need to be used in the description of the embodiments. Obviously, the accompanying drawings in the following description are only some examples or embodiments of the present application, and those skilled in the art can also apply the present application to other similar scenarios. Unless otherwise apparent from context or otherwise indicated, like reference numerals in the figures represent like structures or operations.

[0016] It should be understood that "system", "device", "unit" and / or "module" as used herein is a method for distinguishing different components, elements, components, parts or assemblies of different levels. However, the words may be replaced by other expressions if other words can achieve the same purpose.

[0017] The flow chart is used in this application to illustrate the operations perf...

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Abstract

The embodiment of the invention discloses voice recognition method and system. The method comprises the steps of acquiring a voice signal; framing the voice signal; decoding the voice signal through adecoding network according to frames, and determining a first middle decoding path and a value thereof; responding to the tail end of the first middle decoding path, and decoding to obtain a target word; copying the first middle decoding path into a second path set, using as a second middle decoding path, and changing the value of the copied first middle decoding path so as to obtain a value of the second middle decoding path; through the decoding network, on the basis of the second middle decoding path in the second path set, continuously decoding the voice signal according to the frames, and determining a second decoding path and a value thereof; and on the basis of the second decoding path and the values corresponding to the various decoding paths, determining a voice recognition result.

Description

technical field [0001] The present application relates to the field of human-computer interaction, in particular to a speech recognition method and system. Background technique [0002] Speech recognition is an important entrance of human-computer interaction, and has important applications in the fields of voice input method, voice search and intelligent voice interaction. After decades of research, speech recognition has reached the point of practical use in many fields. However, when existing methods identify some proprietary vocabulary or some emerging vocabulary, due to incomplete vocabulary coverage or less training corpus, the trained model has poor recognition results for such vocabulary. [0003] To solve the problem of poor recognition of these proper nouns and emerging vocabulary, the usual practice is to collect relevant text corpus and add it to the training set, then retrain the model and update it to the online system. However, on the one hand, it is necessa...

Claims

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Application Information

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IPC IPC(8): G10L15/08G10L15/26
CPCG10L15/08G10L15/26
Inventor 王金龙徐欣康胡新辉
Owner 浙江同花顺智富软件有限公司