Voice activity detection using haircell model in noisy environment

Author

Huang, Chieh-Yi ; Wang, Hsien-Chang ; Wang, Jhing-Fa

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

Volume

3

fYear

2002

fDate

2002

Firstpage

999

Abstract

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.

Keywords

audio signal processing; differential equations; hearing; interference suppression; speech intelligibility; speech processing; speech recognition; HCM; ITU-T G.729B VAD; VAD; audio conferencing; haircell model; hands-free telephony; human hearing system; inner ear haircell simulation; noise cancellation; noisy environment; nonvoice components; ordinary differential equations; speech communication systems; speech recognition; speech signal separation; voice activity detection; voice components; Auditory system; Differential equations; Frequency; Humans; Noise cancellation; Oral communication; Shape measurement; Speech recognition; Telephony; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 2002. 9th International Conference on

Print_ISBN

0-7803-7596-3

Type

conf

DOI

10.1109/ICECS.2002.1046418

Filename

1046418