Title :
Adaptive decorrelation filtering for separation of co-channel speech signals from m>2 sources
Author :
Yen, Kuan-Chieh ; Zhao, Yunxin
Author_Institution :
Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana, IL, USA
Abstract :
The ADF algorithm for separating two signal sources by Weinstein, Feder, and Oppenheim (1993) is generalized for separation of co-channel speech signals from more than two sources. The system configuration, its accompanied ADF algorithm, and the choice of adaptation gain are derived. The applicability and limitation of the derived algorithm are also discussed. Experiments were conducted for separation of three speech sources with the acoustic paths measured from an office environment, and the algorithm was shown to improve the average target-to-interference ratio for the three sources by approximately 15 dB
Keywords :
adaptive filters; adaptive signal processing; decorrelation; filtering theory; office environment; speech processing; ADF algorithm; acoustic paths; adaptation gain; adaptive decorrelation filtering; average target-to-interference ratio; co-channel speech signals separation; experiments; office environment; speech sources; system configuration; Adaptive filters; Decorrelation; Filtering; Frequency domain analysis; Higher order statistics; Microphones; Speech analysis; Stability; Transfer functions;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.759792
