Robust Voice Activity Detection Using the Spectral Peaks of Vowel Sounds

This letter proposes the use of vowel sound detection for voice activity detection. Vowels have distinctive spectral peaks. These are likely to remain higher than their surroundings even after severe corruption. Therefore, by developing a method of detecting the spectral peaks of vowel sounds in cor...

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Bibliographic Details
Published inETRI journal Vol. 31; no. 4; pp. 451 - 453
Main Authors Yoo, In-Chul, Yook, Dong-Suk
Format Journal Article
LanguageKorean
Published 한국전자통신연구원 04.02.2009
ETRI
Subjects
spectral peak
Voice activity detection (VAD)
mobile environment
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Summary:This letter proposes the use of vowel sound detection for voice activity detection. Vowels have distinctive spectral peaks. These are likely to remain higher than their surroundings even after severe corruption. Therefore, by developing a method of detecting the spectral peaks of vowel sounds in corrupted signals, voice activity can be detected as well even in low signal-to-noise ratio (SNR) conditions. Experimental results indicate that the proposed algorithm performs reliably under various noise and low SNR conditions. This method is suitable for mobile environments where the characteristics of noise may not be known in advance.
Bibliography:KISTI1.1003/JNL.JAKO200971242948202
ISSN:1225-6463
2233-7326