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Speech recognition method based on time domain convolution coding and decoding network

A speech recognition and convolutional network technology, applied in speech recognition, speech analysis, instruments, etc., can solve the problems of time-consuming labeling and recognition delay, and achieve the effect of reducing preprocessing steps and shortening recognition delay

Active Publication Date: 2021-03-09
CHONGQING MEGALIGHT TECH CO LTD
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Problems solved by technology

[0003] In view of the above existing problems in the prior art, the present invention proposes a speech recognition method based on time-domain convolution codec network, which mainly solves the problems of time-consuming labeling and delay in recognition in existing methods

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  • Speech recognition method based on time domain convolution coding and decoding network
  • Speech recognition method based on time domain convolution coding and decoding network
  • Speech recognition method based on time domain convolution coding and decoding network

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[0029] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and the details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the case of no conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0030] It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic ideas of the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and Dimensional drawing, the type...

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Abstract

The invention provides a speech recognition method based on a time domain convolution coding and decoding network, and the method comprises the steps: inputting audio information, obtaining audio features which comprise a Mel-frequency cepstrum coefficient and a linear prediction cepstrum coefficient, inputting the audio features into a pre-constructed neural network model to obtain a time sequence feature sequence, encoding and decoding the time sequence characteristic sequence through a time domain convolution network to obtain a group of output sequences, and obtaining a prediction result according to the output probability of each element in the output sequence and a preset mapping rule of the output sequence and a preset label sequence, the problem of speech recognition delay can be effectively solved.

Description

technical field [0001] The present invention relates to the field of speech recognition, in particular to a speech recognition method based on time-domain convolution codec network. Background technique [0002] At present, there are mainly traditional methods and deep learning methods in the field of speech recognition. Traditional methods mainly use HMM-based methods such as GMM-HMM or DNN-HMM to model each frame of speech; methods based on deep learning include convolutional neural networks, Deep neural networks, including recurrent neural networks, model large volumes of speech data. Disadvantages of existing technologies: Traditional HMM-based methods require frame-level labeling, which consumes a lot of time and manpower; the two-way recurrent network in deep learning methods cannot effectively solve the problem of recognition delay. Contents of the invention [0003] In view of the above existing problems in the prior art, the present invention proposes a speech re...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L15/16G10L15/22G10L19/26G10L25/24
CPCG10L15/16G10L15/22G10L19/26G10L25/24
Inventor 彭德光赵清清孙健汤斌黄攀
Owner CHONGQING MEGALIGHT TECH CO LTD
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