Adaptive decorrelation filtering for separation of co-channel speech signals from m>2 sources

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 applicabili...

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Bibliographic Details
Main Authors: Kuan-Chieh Yen, Yunxin Zhao
Format: Conference Proceeding
Language:English
Subjects:
Adaptive filters
Decorrelation
Filtering
Frequency domain analysis
Higher order statistics
Microphones
Speech analysis
Stability
Transfer functions
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Description
Summary: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.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.1999.759792