Robust voice activity detection using the spectral peaks of vowel sounds

Chul Yoo, Dongsuk Yook

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)


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 languageEnglish
Pages (from-to)451-453
Number of pages3
JournalETRI Journal
Issue number4
Publication statusPublished - 2009 Aug


  • Mobile environment
  • Spectral peak
  • Voice activity detection (VAD)

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Computer Science(all)
  • Electrical and Electronic Engineering


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