All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.


A voice activity detection algorithm based on spectral entropy analysis of sub-frequency band.

Author(s): Zhang Yuxin, Ding Yan

This paper proposes an effective voice activity detection (VAD) algorithms in low SNR noise environment. Traditional short-term energy and zero-crossing rate can only get high performance at high SNR environment. The spectral entropy algorithm is used to detect stationary noise signal, which is based on the inherent steady characteristics of noise signal. The whole spectrum is divided into some sub-bands, and then, the entropy value of sub-bands are computed separately. Since the voice change is stronger in some frequency bands, the sub-frequency band is extracted for detecting endpoint. The experimental results show that proposed method greatly improves performance of VAD at low SNR environment.

Share this       

Table of Contents

Recommended Conferences

International Congress on Biotechnology

Tokyo, Japan

24th Global Congress on Biotechnology

Dubai, UAE
izmir escort izmir escort bursa escort antalya escort izmir escort porno porno izle türk porno eskişehir escort bartın escort burdur escort havalandırma izmir escort bursa escort porno indir izle escort izmir