A Robust Voice Activity Detection Method for Noisy Speech Signals

A Robust Voice Activity Detection Method for Noisy Speech Signals

Khadije Aghajani, Mohammad Taghi Manzuri Shalmani

Abstract

Voice activity detection (VAD) has several applications in different areas of speech processing, as such speech recognition, speech compression and noise reduction. In this paper first, the related approaches presented in the literatures will be investigated. Next, a new procedure is proposed for distinguishing between silence and non-silence regions of a speech signal. The proposed technique is based on wavelet transform, because it provides a high capability of energy-separation in different subbands. The obtained results confirm that the proposed method shows significant improvements in compare with other methods.

Keywords

Voice Activity Detection, Wavelet Transform, OS Filters

References