Speech recognition method and device, computer equipment and storage medium

A speech recognition and computer program technology, applied in speech recognition, speech analysis, instruments, etc., can solve the problems of high delay, high ASR system complexity, affecting ASR recognition efficiency, etc., to achieve low training complexity and improve ASR recognition. Efficiency and improved accuracy
CN113192492APending Publication Date: 2021-07-30PING AN TECH (SHENZHEN) CO LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
PING AN TECH (SHENZHEN) CO LTD
Publication Date
2021-07-30

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Abstract

The invention relates to a voice recognition method and device, computer equipment and a storage medium. The method comprises the steps: acquiring training data including standard mandarin training data and non-standard mandarin training data; inputting the standard mandarin training data into the main neural network for training to obtain a mandarin acoustic model; adding a branch neural network in the mandarin acoustic model; inputting the standard mandarin training data and the non-standard mandarin training data into a mandarin acoustic model for multi-task training; updating the mandarin acoustic model to generate an initial acoustic model; inputting the training data into the initial acoustic model for training to obtain a target acoustic model; and inputting the voice information into the target acoustic model to obtain semantic information of the voice information. Not only is the ASR recognition efficiency improved, but also the ASR identification accuracy is prevented from being influenced by accent identification errors. The invention further relates to a block chain technology, and the target acoustic model can be stored in a block chain node.
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Description

technical field

[0001] The present application relates to the technical field of artificial intelligence, in particular to a voice recognition method, device, computer equipment and storage medium. Background technique

[0002] For telephone customer service scenarios, it is common for Mandarin ASR (Automatic Speech Recognition, automatic speech recognition technology) to be affected by accents. In order to solve this problem, the traditional method is to provide dedicated acoustic models for different accents. The entire ASR system includes dedicated acoustic models for various accents, and the front-end is equipped with an accent recognition module. The complexity of this ASR system is too high, and the time delay is high, which affects the efficiency of ASR recognition; moreover, errors in accent recognition will also affect the accuracy of ASR recognition.

[0003] Therefore, how to improve the efficiency and accuracy of ASR recognition has become an urgent problem to b...

Claims

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