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Voice Activity Detection Using Global Speech Absence Probability Based on Teager Energy in Noisy Environments  

Park, Yun-Sik (Department of Electronic Engineering, Inha University)
Lee, Sang-Min (Department of Electronic Engineering, Inha University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.49, no.1, 2012 , pp. 97-103 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. Global speech absence probability (GSAP) derived from likelihood ratio (LR) based on the statistical model is widely used as the feature parameter for VAD. However, the feature parameter based on conventional GSAP is not sufficient to distinguish speech from noise at low SNRs (signal-to-noise ratios). The presented VAD algorithm utilizes GSAP based on Teager energy (TE) as the feature parameter to provide the improved performance of decision for speech segments in noisy environment. 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
음향학적 반향 억제;잡음 제거;음성부재확률;
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