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http://dx.doi.org/10.7776/ASK.2011.30.7.396

Voice Activity Detection Algorithm Based on the Power Spectral Deviation of Teager Energy in Noisy Environment  

Park, Yun-Sik (인하대학교 전자공학부)
An, Hong-Sub (인하대학교 전자공학부)
Lee, Sang-Min (인하대학교 전자공학부)
Publication Information
The Journal of the Acoustical Society of Korea / v.30, no.7, 2011 , pp. 396-401 More about this Journal
Abstract
In this paper, we propose a novel voice activity detection (VAD) algorithm to effectively distinguish speech from nonspeech in various noisy environments. The presented VAD utilizes the power spectral deviation (PSD) based on Teager energy (TE) instead of the conventional PSD scheme to improve the performance of decision for speech segments. In addition, the speech absence probability (SAP) is derived in each frequency subband to modify the PSD for further VAD. Performances of the proposed VAD algorithm are evaluated by objective test under various environments and better results compared with the conventional methods are obtained.
Keywords
Power spectral deviation; Teager energy; Speech absence probability;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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