Voice activity detection method and device

An endpoint detection and voice technology, applied in voice analysis, speech recognition, instruments, etc., can solve the problem of low accuracy of endpoint detection and achieve the effect of ensuring accuracy
CN110689877AInactive Publication Date: 2020-01-14HUAWEI TECH CO LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
HUAWEI TECH CO LTD
Publication Date
2020-01-14
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The embodiment of the invention provides a voice activity detection method and device. The method comprises the following steps of acquiring a speech signal input by a user, and converting the speechsignal into text information; determining a context type corresponding to the text information and / or non-linguistic feature information in the speech signal; determining detection duration accordingto the context type and / or the non-linguistic feature information; recognizing a corresponding pronunciation interval of each word in the text information in the speech signal, and using the end timepoint of a corresponding pronunciation interval of a first word in the speech signal as a first end point when the pronunciation interval of a second word is determined to be not included in the detection duration after the pronunciation interval of the first word in the text information; and using the first end point as a speech end point of a sentence where the first word is located in the speech signal when the semantic structure of the sentence where the first word is located is determined to be complete.
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Description

technical field

[0001] The present application relates to the technical field of speech detection, in particular to a method and device for detecting a speech end endpoint. Background technique

[0002] With the advancement of science and technology, people's work and life are applied to computers and networks almost every day. In order to serve work and life more conveniently and efficiently, speech recognition is widely used in various fields. For example, human-computer interactive Speech recognition, when people communicate with each other, record their conversations by voice recognition, or record their thoughts by voice anytime, anywhere, etc. This recognition method has gradually become Trends in the development of voice applications. The process of speech recognition mainly includes four steps, namely: speech signal collection, speech signal feature parameter extraction, acoustic model and pattern matching, language model and language processing. Wherein, when the ...

Claims

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