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Robust Voice Activity Detection in Noisy Environment Using Entropy and Harmonics Detection  

Choi, Gab-Keun (Computer Engineering Department, Kwangwoon University)
Kim, Soon-Hyob (Computer Engineering Department, Kwangwoon University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.47, no.1, 2010 , pp. 169-174 More about this Journal
Abstract
This paper explains end-point detection method for better speech recognition rates. The proposed method determines speech and non-speech region with the entropy and the harmonic detection of speech. The end-point detection using entropy on the speech spectral energy has good performance at the high SNR(SNR 15dB) environments. At the low SNR environment(SNR 0dB), however, the threshold level of speech and noise varies, so the precise end-point detection is difficult. Therefore, this paper introduces the end-point detection methods which uses speech spectral entropy and harmonics. Experiment shows better performance than the conventional entropy methods.
Keywords
Voice Activity Detection; End-Point Detection; Speech Recognition;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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