DocumentCode :
431405
Title :
Adaptive Decorrelation Filtering Algorithm for Speech Source Separation in Uncorrelated Noises
Author :
Hu, Rong ; Zhao, Yunxin
Author_Institution :
Dept. of Comput. Sci., Missouri Univ., Columbia, MO, USA
Volume :
1
fYear :
2005
fDate :
March 18-23, 2005
Firstpage :
1113
Lastpage :
1116
Keywords :
adaptive filters; blind source separation; convergence of numerical methods; convolution; decorrelation; gradient methods; reverberation; speech processing; time-domain analysis; transient response; white noise; TIMIT speech data; adaptive decorrelation filtering; additive background noise; blind speech source separation; convergence rate; convolutive mixtures; gradient descent algorithm; impulse response; noise-adapted ADF algorithm; phone accuracy; reverberant acoustic experiment; speech source separation; target-to-interference ratio; time-domain vector formulation; uncorrelated white noise; Acoustic noise; Adaptive filters; Background noise; Decorrelation; Filtering algorithms; Finite impulse response filter; Source separation; Speech analysis; Speech recognition; Time domain analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1415313
Filename :
1415313
Link To Document :
بازگشت