Speech recognition method and device, equipment and storage medium

A technology of speech recognition and speech recognition model, applied in speech recognition, speech analysis, instruments, etc., can solve the problem of spending a lot of manpower and time, and achieve the effect of accurate speech recognition

Pending Publication Date: 2022-01-11
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For fields without labeled data, it takes a lot of manpower and time to label the data

Method used

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  • Speech recognition method and device, equipment and storage medium
  • Speech recognition method and device, equipment and storage medium
  • Speech recognition method and device, equipment and storage medium

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Embodiment Construction

[0022] Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments 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.

[0023] Due to the model-based speech recognition method, a lot depends on the algorithm of the model and the data used to train the model. Therefore, when a model trained based on speech data in an existing field is applied to an unknown field, the prediction accuracy often drops significantly.

[0024] Among them, the fields mentioned in this disclosure are relatively broad fields, including v...

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Abstract

The invention provides a voice recognition method and device, equipment and a storage medium, and relates to the field of artificial intelligence, in particular to the technical field of voice. According to the specific implementation scheme, the method comprises the steps of firstly, using a domain-confrontation-based phonetic feature extraction model to extract phonetic features of target domain voice data, wherein the domain-confrontation-based phonetic feature extraction model comprises a phonetic feature extraction part and a domain classification part, the domain classification part introduces confrontation through a gradient reverse layer to fuzz field characteristics of linguistic features; then, extracting voice recognition target features of the target domain voice data; and then, according to the phonetic characteristics and the speech recognition target characteristics, jointly determining a speech recognition result of the target speech data. Therefore, the influence caused by the characteristics of the speaker, such as age, gender, tone and the like, can be better reduced, so that the speech recognition is more accurate, and the speech recognition is easier to migrate from one field to another field.

Description

technical field [0001] The present disclosure relates to the field of artificial intelligence, in particular to the field of speech technology, and further relates to a speech recognition method, device, equipment and storage medium. Background technique [0002] Speech recognition models are prone to errors due to factors such as environmental noise, differences in accents, differences in speaking styles, topic deviations, speakers themselves, and more. [0003] In addition, if you want to transfer a speech recognition model from one domain to another, you often need a large amount of labeled data in the target domain. For fields without labeled data, it takes a lot of manpower and time to label the data. Contents of the invention [0004] The present disclosure provides a voice recognition method, device, equipment and storage medium. [0005] According to one aspect of the present disclosure, a method for speech recognition is provided, including: acquiring speech dat...

Claims

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Application Information

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IPC IPC(8): G10L15/02G10L15/06G10L15/22G10L25/33
CPCG10L15/02G10L25/33G10L15/22G10L15/063G10L2015/025
Inventor 赵情恩
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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