Voice activity detection using haircell model in noisy environment

The major function of voice activity detection (VAD) is to separate speech signals into voice and non-voice components. It is usually used in speech communication systems, such as speech recognition, hands-free telephony, audio conferencing and noise cancellation. This paper presents a new method for VAD, which is based on the haircell model (HCM). In the HCM, we use ordinary differential equations (2.1) to simulate the inner ear haircell of the human hearing system. The performance of the method is compared to the ITU-T G.729B VAD (A. Benyassine et al., IEEE Commun. Mag., pp. 64-72, Sept. 1997). The results show that the proposed method has performance better than G.729B.