A Voice Activity Detection Method Based on Blind Source Separation for Microphone Array Signals

Ma Xiao-hong; Liang Li-li; Yin Fu-liang

doi:10.3724/SP.J.1146.2005.00717

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Ma Xiao-hong, Liang Li-li, Yin Fu-liang. A Voice Activity Detection Method Based on Blind Source Separation for Microphone Array Signals[J]. Journal of Electronics & Information Technology, 2007, 29(3): 589-592. doi: 10.3724/SP.J.1146.2005.00717

Citation:

Ma Xiao-hong, Liang Li-li, Yin Fu-liang. A Voice Activity Detection Method Based on Blind Source Separation for Microphone Array Signals[J]. Journal of Electronics & Information Technology, 2007, 29(3): 589-592. doi: 10.3724/SP.J.1146.2005.00717

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A Voice Activity Detection Method Based on Blind Source Separation for Microphone Array Signals

doi: 10.3724/SP.J.1146.2005.00717

Received Date: 2005-06-20
Rev Recd Date: 2006-12-05
Publish Date: 2007-03-19

Abstract

Abstract

A Voice Activity Detection (VAD) method for microphone array signals in directional noise field is proposed. As the noises received by different microphones are correlated with each other in directional noise field, relatively pure speech can be derived from any two array signals by using Blind Source Separation (BSS) method. The generalized correlation method is used to estimate time delay between this relatively pure signal and every channel signals of microphone array. In the same time, a long-term speech information method is applied to the relatively pure speech signal to obtain its VAD result. Then this VAD result is used as reference to produce those of all array signals by the time shifting of it according to each time delay values. Simulation results illustrate the validity of the proposed method.

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References

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