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Voice end node detection method and device

An endpoint detection and voice technology, applied in voice analysis, voice recognition, instruments, etc., can solve the problem of low accuracy of voice endpoints and achieve the effect of improving accuracy

Active Publication Date: 2015-03-11
BEIJING GRIDSUM TECH CO LTD
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  • Claims
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AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to provide a method and device for voice endpoint detection to solve the problem of low accuracy of voice endpoint detection in the prior art

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Embodiment Construction

[0019] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0020] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0021] It should be noted that the terms "fir...

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Abstract

The invention discloses a voice end node detection method and device. The voice end node detection method comprises the following steps: acquiring to-be-detected audio frequency in targeted environment; utilizing a voice training model generated in advance to mark the audio clips in the to-be-detected audio frequency; marking the voice clips in the to-be-detected audio frequency as first pre-arranged identification, wherein the voice training model is a model obtained from training of the voice data in the targeted environment; searching the whole segment of audio frequency provided with the first pre-arranged identification in the marked to-be-detected audio frequency, wherein the whole audio frequency is the whole segment of voice marked with the first pre-arranged identification; taking the whole segment of audio frequency provided with the first pre-arranged identification as a segment of voice; taking the starting node and the end node of the whole segment of the audio frequency provided with the first pre-arranged identification as the end nodes of the voice. According to the invention, the problem in the prior art that the voice end node detection accuracy is relatively low under the condition of high noise is solved; the voice end node detection accuracy is improved.

Description

technical field [0001] The invention relates to the field of voice detection, in particular to a voice endpoint detection method and device. Background technique [0002] At present, for speech recognition, most audio frequency features such as cepstral coefficients are used to implement endpoint detection. Such a detection method usually has a better effect when the background noise is small. However, when the noise of the voice background is very large (for example, the signal-to-noise ratio is 0 decibels), the endpoint detection effect is obviously reduced, and the accuracy of the voice endpoint detection is low. [0003] Aiming at the problem of low accuracy of speech endpoint detection in the prior art, no effective solution has been proposed yet. Contents of the invention [0004] The main purpose of the present invention is to provide a voice endpoint detection method and device to solve the problem of low accuracy of voice endpoint detection in the prior art. [...

Claims

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Application Information

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IPC IPC(8): G10L25/87G10L15/05G10L15/06
Inventor 刘粉香
Owner BEIJING GRIDSUM TECH CO LTD
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