Robust Voice Activity Detection Using the Spectral Peaks of Vowel Sounds
- Authors
- Yoo, In-Chul; Yook, Dongsuk
- Issue Date
- 8월-2009
- Publisher
- WILEY
- Keywords
- Voice activity detection (VAD); spectral peak; mobile environment
- Citation
- ETRI JOURNAL, v.31, no.4, pp.451 - 453
- Indexed
- SCIE
SCOPUS
KCI
- Journal Title
- ETRI JOURNAL
- Volume
- 31
- Number
- 4
- Start Page
- 451
- End Page
- 453
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/119597
- DOI
- 10.4218/etrij.09.0209.0104
- ISSN
- 1225-6463
- Abstract
- 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.
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- Appears in
Collections - Graduate School > Department of Computer Science and Engineering > 1. Journal Articles
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