Speech recognition method, device, electronic device and storage medium

Abstract

The application discloses a speech recognition method, device, electronic equipment and storage medium, and relates to the field of deep learning technology and the field of speech technology in the field of artificial intelligence technology. The status information and context information of the application corresponding to the information; according to the status information and context information, calculate the semantic integrity of the target voice information; determine the monitoring duration corresponding to the semantic integrity, and monitor the voice information within the monitoring duration; if the monitoring duration If no voice information is detected in the target voice information, voice recognition is performed according to the target voice information. Thus, the semantic completeness of the acquired voice information is determined according to the multi-dimensional parameters, and the duration of detecting the voice information is flexibly adjusted according to the semantic completeness, so as to avoid truncating the voice information and improve the accuracy of voice recognition.

Description

technical field [0001] The present application relates to the field of deep learning technology and the field of speech technology in the field of artificial intelligence technology, and in particular to a speech recognition method, device, electronic equipment and storage medium. Background technique [0002] With the development of artificial intelligence technology, smart home products such as smart speakers and smart robots have also been developed. Users can control the work of related products based on voice information input. The speaker performs operations such as opening a music application. [0003] In related technologies, in order to obtain complete voice information, tail detection is performed on the voice information, that is, to detect the pause duration of the voice information, which can also be understood as the silence duration. When the pause duration reaches a fixed value, it is considered that the complete voice information has been obtained. Voice in...

AI Technical Summary

Problems solved by technology

[0003] In related technologies, in order to obtain complete voice information, tail point detection is performed on the voice information, that is, to detect the pause duration of the voice information, which can also be understood as the silence duration. When the pause duration reaches a fixed value, it is considered that the complete voice information has been obtained. Voice information. Obviously, this method of determining whether the voice information is complete or not is highly restrictive, which may lead to incomplete acquisition of voice information and low accuracy of voice recognition.

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