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 :
بازگشت