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.
| Original language | English |
|---|---|
| Pages (from-to) | 451-453 |
| Number of pages | 3 |
| Journal | ETRI Journal |
| Volume | 31 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2009 Aug |
Keywords
- Mobile environment
- Spectral peak
- Voice activity detection (VAD)
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Computer Science(all)
- Electrical and Electronic Engineering