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

Volume

2

fYear

1999

Firstpage

801

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-5041-3

Type

conf

DOI

10.1109/ICASSP.1999.759792

Filename

759792