Multichannel voice detection in adverse environments

Details Multichannel voice detection in adverse environments Multichannel voice detection in adverse environments

2006-12-05

2006-12-05

Chawan, Vijay B. (Department: 2626)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S247000, C381S094300, C381S056000, C381S110000, C379S406040

Reexamination Certificate

active

07146315

ABSTRACT:
A multichannel source activity detection system, e.g., a voice activity detection (VAD) system, and method that exploits spatial localization of a target audio source is provided. The method includes the steps of receiving a mixed sound signal by at least two microphones; Fast Fourier transforming each received mixed sound signal into the frequency domain; filtering the transformed signals to output a signal corresponding to a spatial signature of a source; summing an absolute value squared of the filtered signal over a predetermined range of frequencies; and comparing the sum to a threshold to determine if a voice is present. Additionally, the filtering step includes multiplying the transformed signals by an inverse of a noise spectral power matrix, a vector of channel transfer function ratios, and a source signal spectral power.

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