DocumentCode :
2957868
Title :
Speech separation algorithms for multiple speaker environments
Author :
Kwan, C. ; Yin, J. ; Ayhan, B. ; Chu, S. ; Liu, X. ; Puckett, K. ; Zhao, Y. ; Ho, K.C. ; Kruger, M. ; Sityar, I.
Author_Institution :
Signal Process., Inc., Rockville, MD
fYear :
2008
fDate :
1-8 June 2008
Firstpage :
1644
Lastpage :
1648
Abstract :
Conventional speaker identification and speech recognition algorithms do not perform well if there are multiple speakers in the background. For high performance speaker identification and speech recognition applications in multiple speaker environments, a speech separation stage is essential. Here we summarize the implementation of three speech separation techniques. Advantages and disadvantages of each method are highlighted, as no single method can work under all situations. Stand-alone software prototypes for these methods have been developed and evaluated.
Keywords :
source separation; speaker recognition; high performance speaker identification; multiple speaker environments; multiple speakers; speech recognition algorithms; speech separation algorithms; Acoustic sensors; Application software; Array signal processing; Frequency domain analysis; Independent component analysis; Microphones; Microwave integrated circuits; Software prototyping; Source separation; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
ISSN :
1098-7576
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
Type :
conf
DOI :
10.1109/IJCNN.2008.4634018
Filename :
4634018
Link To Document :
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