Voice recognition method and device, electronic equipment and readable storage medium

A speech recognition and terminal equipment technology, applied in speech recognition, speech analysis, electrical components, etc., can solve the problems of online recognition failure, consumption of terminal equipment, and low update frequency of offline engine, so as to improve accuracy and reduce resource consumption. Effect

Pending Publication Date: 2021-08-31
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the terminal device has no network or the network is relatively poor, it will lead to technical problems such as online identification failure or large delay
If only offline recognition is used, the size of the offline recognition model will be limited, and the update frequency of the offline engine is very low, which will lead to poor recognition effect. In addition, offline recognition will consume more computing resources of the terminal device

Method used

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  • Voice recognition method and device, electronic equipment and readable storage medium
  • Voice recognition method and device, electronic equipment and readable storage medium
  • Voice recognition method and device, electronic equipment and readable storage medium

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Embodiment Construction

[0014] Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0015] figure 1 is a schematic diagram according to the first embodiment of the present disclosure. Such as figure 1 As shown, the speech recognition method of this embodiment may specifically include the following steps:

[0016] S101. Obtain network data during data transmission between the terminal device and the server;

[0017] S102. Obtain at least one network...

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Abstract

The invention provides a voice recognition method and device, electronic equipment and a readable storage medium, and relates to the technical field of deep learning and voice processing. The voice recognition method comprises the steps of acquiring network data during data transmission between terminal equipment and a server; obtaining at least one network feature according to the network data; inputting the at least one network feature into a pre-trained prediction model to obtain a prediction result output by the prediction model; and when it is determined that the prediction result meets a preset requirement, switching the recognition mode of the terminal device to offline recognition so as to perform voice recognition. According to the invention, the accuracy of switching the recognition modes when the terminal device carries out voice recognition can be improved.

Description

technical field [0001] The present disclosure relates to the technical field of data processing, in particular to the technical fields of deep learning and speech processing. Provided are a voice recognition method, device, electronic equipment and readable storage medium. Background technique [0002] Speech recognition is usually divided into two recognition methods: online recognition and offline recognition. In actual use scenarios, especially in the application of speech recognition of terminal equipment, most of the recognition methods of online recognition are used. However, when the terminal device has no network or the network is relatively poor, it will lead to technical problems such as online recognition failure or large delay. If only offline recognition is used, the size of the offline recognition model will be limited, and the update frequency of the offline engine is very low, which will lead to poor recognition effect. In addition, offline recognition will...

Claims

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Application Information

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IPC IPC(8): G10L15/16G10L15/30H04L12/26
CPCG10L15/16G10L15/30H04L43/0829H04L43/0852
Inventor 郭启行崔亚峰
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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