DocumentCode
2810520
Title
Energy-based multi-speaker voice activity detection with an ad hoc microphone array
Author
Bertrand, Alexander ; Moonen, Marc
Author_Institution
Dept. ESAT, Katholieke Univ. Leuven, Leuven, Belgium
fYear
2010
fDate
14-19 March 2010
Firstpage
85
Lastpage
88
Abstract
In this paper, we propose an energy-based technique to track the power of multiple simultaneous speakers using an ad hoc microphone array with unknown microphone positions. By considering the short-term power of the microphone signals, the problem can be converted into a non-negative blind source separation (NBSS) problem. By exploiting the prior knowledge that the source signals are non-negative and well-grounded, very efficient algorithms can be used to solve this NBSS problem, based only on second order statistics. We provide simulation results that demonstrate the effectiveness of the presented algorithm.
Keywords
acoustic signal processing; blind source separation; microphone arrays; signal detection; speaker recognition; speech processing; ad hoc microphone array; energy-based multispeaker voice activity detection; microphone signals; nonnegative blind source separation; source signals; Blind source separation; Detectors; Independent component analysis; Microphone arrays; Noise reduction; Power measurement; Signal detection; Signal processing algorithms; Speech processing; Statistics; Random arrays; Signal detection; Voice activity detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location
Dallas, TX
ISSN
1520-6149
Print_ISBN
978-1-4244-4295-9
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2010.5496183
Filename
5496183
Link To Document