Speech recognition method and device of joint model, and computer equipment

A speech recognition and joint model technology, applied in speech recognition, speech analysis, instruments, etc., can solve the problem of low accuracy of speech segmentation, and achieve the effect of improving accuracy

Active Publication Date: 2020-11-13
深圳市友杰智新科技有限公司
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Problems solved by technology

[0003] The main purpose of this application is to provide a joint model speech recognition method, device and computer equipment, aiming to solve the disadvantages of the low accuracy of the speech segmentation of the existing speech recognition model method

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  • Speech recognition method and device of joint model, and computer equipment
  • Speech recognition method and device of joint model, and computer equipment
  • Speech recognition method and device of joint model, and computer equipment

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[0058] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0059] refer to figure 1 , an embodiment of the present application provides a joint model-based speech recognition method, including:

[0060] S1: Input the speech to be recognized into the first speech recognition model and the second speech recognition model respectively, obtain the first recognition sequence corresponding to the first speech recognition model, and the second recognition sequence corresponding to the second speech recognition model, Wherein, the first speech recognition model is an HMM-based speech recognition model, and the second speech recognition m...

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Abstract

The invention provides a speech recognition method and device of a joint model, and computer equipment. Firstly, to-be-recognized speech is input into a first speech recognition model and a second speech recognition model; a first recognition sequence corresponding to the first speech recognition model and a second recognition sequence corresponding to the second speech recognition model are obtained, wherein the first speech recognition model is a speech recognition model based on an HMM, and the second speech recognition model is an end-to-end speech recognition model. A system corrects thefirst recognition sequence according to the second recognition sequence to obtain a final recognition result. According to the invention, the recognition sequences of two different types of speech recognition models are combined with each other, and the first recognition sequence is corrected through the second recognition sequence, so that the speech segmentation accuracy is effectively improved.

Description

technical field [0001] The present application relates to the technical field of speech recognition, in particular to a joint model speech recognition method, device and computer equipment. Background technique [0002] In the prior art, the speech recognition model method is a widely used speech recognition technology, and the speech recognition model method can be divided into methods based on artificial neural networks and methods based on hidden Markov models, but for speech segmentation tasks, the two Both methods have certain limitations (the method based on artificial neural network cannot effectively distinguish the acoustic unit corresponding to the blank label; and the acoustic unit predicted by the hidden Markov model relies heavily on the speech recognition model based on HMM (Hidden MarkovModel). recognition rate, if there is a large error between the prediction result of the model and the real label of the speech to be segmented, then the segmented speech label...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L15/14G10L15/04
CPCG10L15/04G10L15/144
Inventor 容韦聪王广新太荣鹏
Owner 深圳市友杰智新科技有限公司
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