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

A model training and speech recognition technology, applied in the field of model building in artificial intelligence, can solve problems such as time-consuming, expensive, efficiency, and bottom

Pending Publication Date: 2021-03-02
PING AN TECH (SHENZHEN) CO LTD
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  • Application Information

AI Technical Summary

Problems solved by technology

However, with the advancement of algorithms and computer capabilities, the speech recognition model allows more and more speech data and corresponding text data to be added to the training to improve the accuracy of the speech recognition model, which makes labor costs a bottleneck for resource investment. A large amount of human labor to label the voice data is time-consuming, expensive and inefficient

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

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Embodiment Construction

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0036] The flow charts shown in the drawings are just illustrations, and do not necessarily include all contents and operations / steps, nor must they be performed in the order described. For example, some operations / steps can be decomposed, combined or partly combined, so the actual order of execution may be changed according to the actual situation. In addition, although the functional modules are divided in the schematic diagram of the device, in some cases, they ...

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Abstract

The invention provides a model training method,a voice recognition method, a device, equipment and a storage medium. The method comprises the steps: carrying out the iterative training of a first preset voice recognition model according to a plurality of first training samples, and obtaining a first voice recognition model; fusing the first voice recognition model with a preset language model to obtain a second voice recognition model; inputting second voice sequences in the plurality of second training samples into the second voice recognition model to obtain a second text and a fusion scorecorresponding to each second voice sequence; screening out a target voice sequence from the plurality of second voice sequences according to the fusion score of each second voice sequence; and performing iterative training on a second preset voice recognition model according to each target voice sequence, the second text corresponding to each target voice sequence and the plurality of first training samples to obtain a target voice recognition model. The invention relates to artificial intelligence, and can improve the training efficiency of a voice recognition model.

Description

technical field [0001] The present application relates to the technical field of model building in artificial intelligence, and in particular to a model training method, a speech recognition method, a device, a device, and a storage medium. Background technique [0002] Automatic Speech Recognition (Automatic Speech Recognition) is a technology that converts speech into text. Speech recognition, as an important technology in the field of artificial intelligence, is used in various industries related to the Internet, communications, and smart homes. Speech recognition models are usually used for automatic speech recognition. In order to train the speech recognition model, a large amount of speech data and text data corresponding to the speech data need to be prepared. In the prior art, the text data sample is obtained by organizing a large number of people to listen to the voice data and write down the correct text data. However, with the advancement of algorithms and compu...

Claims

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Application Information

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IPC IPC(8): G10L15/06G10L15/22G10L15/26
CPCG10L15/063G10L15/22G10L15/26
Inventor 罗剑王健宗程宁
Owner PING AN TECH (SHENZHEN) CO LTD
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