Model training method and device, voice recognition method and device, server and storage medium

A model training and speech recognition technology, applied in speech recognition, speech analysis, instruments, etc., can solve problems such as poor robustness of speech recognition models, large differences in the accuracy of speech recognition models, training data cannot be shared, etc., to improve flexibility performance and accuracy, improving robustness and scalability

Active Publication Date: 2021-08-13
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology

These have brought difficulties and challenges to speech recognition
[0003] The current speech recognition model can only recognize speech data of a single channel. For application scenarios with speech data of different channels, it is necessary to train multiple speech recognition models that match the s

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  • Model training method and device, voice recognition method and device, server and storage medium
  • Model training method and device, voice recognition method and device, server and storage medium
  • Model training method and device, voice recognition method and device, server and storage medium

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[0036] Next, the technical scheme in the present application will be clear and completely, and the embodiments described herein are described herein, and not all of the embodiments of the present disclosure, not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without making creative labor premises, all of the present application protected.

[0037] The flowchart shown in the drawings is merely illustrative, and it is not necessary to include all content and operation / steps, nor must be performed in the described order. For example, some operations / steps can also be decomposed, combined, or partially combined, so the order actually performed may change according to the actual situation. Further, although the functional module is divided in the apparatus, in some cases, in some cases, the module different from the apparatus is divided into modules.

[0038...

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Abstract

The invention relates to model construction in artificial intelligence, and provides a model training method and device, a voice recognition method and device, a server and a storage medium. The model training method comprises the steps: carrying out first signal processing on voice data to obtain first voice data, and carrying out second signal processing on the voice data to obtain second voice data; inputting the first voice data and the second voice data into a feature extraction model to extract a first feature vector of the first voice data and a second feature vector of the second voice data; calculating mutual information between the first voice data and the second voice data according to the first feature vector and the second feature vector; according to mutual information between the first voice data and the second voice data, updating model parameters of the feature extraction model until the feature extraction model converges; and fusing and finely adjusting the converged feature extraction model and the trained speech recognition model to obtain a target speech recognition model. According to the invention, the robustness of the voice recognition model can be improved.

Description

technical field [0001] The present application relates to the technical field of model building, and in particular to a model training method, speech recognition method, device, server and storage medium. Background technique [0002] With the continuous development of the new media industry, the channels of voice data are gradually diversified, and there are different bandwidths and encoding formats. For example, voice data is recorded data with a sampling rate of 8k or 16k, or encoding formats such as ulaw, Alaw, and amr. In some cases, during the transmission of the voice data, processing such as compression is also performed on the voice data. These have brought difficulties and challenges to speech recognition. [0003] The current speech recognition model can only recognize speech data of a single channel. For application scenarios with speech data of different channels, it is necessary to train multiple speech recognition models that match the speech data of each cha...

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Application Information

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IPC IPC(8): G10L15/06G10L15/02G10L15/16
CPCG10L15/063G10L15/02G10L15/16
Inventor 王璐魏韬马骏王少军
Owner PING AN TECH (SHENZHEN) CO LTD
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