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
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;
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2008.4634018