NDLI: Voice Activity Detection Based on the Improved Dual-Threshold Method

Content Provider	IEEE Xplore Digital Library
Author	Sun Yiming Wang Rui
Copyright Year	2015
Description	Author affiliation: Sch. of Comput. Sci. & Technol., Changchun Univ. of Sci. & Technol., Changchun, China (Sun Yiming; Wang Rui)
Abstract	Voice activity detection of speech signal is an important part in the process of speech recognition. The accuracy of voice activity detection is directly related to the accuracy of speech recognition. In this paper, the use of locomotive voice as test data, using the traditional dual-threshold method for voice activity detection. It is found that under the quiet and noisy conditions the traditional dual-threshold method obtained information of speech voice activity detection having lots of errors. In view of the above problems, this paper presented an improved dual-threshold method to make voice activity detection, processing speech signal, short-time average energy and zero crossing rate. And through MATLAB simulation, the experimental results show that under the quiet and noisy conditions comparing the improved method proposed by this paper and the traditional method, are closer to real speech voice activity part in the test data.
Sponsorship	Hunan Univ.
Starting Page	996
Ending Page	999
File Size	217310
Page Count	4
File Format	PDF
e-ISBN	9781509004645
DOI	10.1109/ICITBS.2015.252
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-19
Publisher Place	Vietnam
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech recognition White noise Speech Libraries Noise measurement Mathematical model Dual-threshold Voice activity detection Short-term energy Short-term zero rate Signal to noise ratio
Content Type	Text
Resource Type	Article

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