Speech recognition method and device, electronic equipment and storage medium

Abstract

The invention discloses a speech recognition method and device, electronic equipment and a storage medium, and relates to the technical field of deep learning and the technical field of speech in thetechnical field of artificial intelligence; and the method comprises the steps: obtaining state information and context information of an application corresponding to target speech information in response to the obtained target speech information; calculating semantic integrity of the target voice information according to the state information and the context information; determining a monitoringduration corresponding to the semantic integrity, and monitoring the speech information in the monitoring duration; and if the speech information is not monitored within the monitoring duration, performing speech recognition according to the target speech information. Therefore, the semantic integrity of the acquired speech information is determined according to the multi-dimensional parameters, the duration of detecting the speech information is flexibly adjusted according to the semantic integrity, the speech information is prevented from being cut off, and the speech recognition accuracy isimproved.

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...

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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