DocumentCode
1350243
Title
Subband-based adaptive decorrelation filtering for co-channel speech separation
Author
Huang, Jonathan ; Yen, Kuan-Chieh ; Zhao, Yunxin
Author_Institution
Latitude Commun., Santa Clara, CA, USA
Volume
8
Issue
4
fYear
2000
fDate
7/1/2000 12:00:00 AM
Firstpage
402
Lastpage
406
Abstract
A subband-based adaptive decorrelation filtering algorithm (SBADF) is proposed for co-channel speech separation. The SBADF decomposes the input signals into several frequency subbands, and uses the adaptive decorrelation filtering algorithm (ADF) to process the signals in each subband independently. The processed subband signals are then combined for each channel to form the separated speech. Experimental results show that while the fullband ADF can achieve better separation performance after reaching convergence, the SBADF has the advantage of improved convergence rate and reduced computational complexity by a factor of approximately two
Keywords
adaptive filters; adaptive signal processing; computational complexity; convergence of numerical methods; decorrelation; filtering theory; speech processing; adaptive decorrelation filtering algorithm; co-channel speech separation; convergence rate; experimental results; filtering algorithm; frequency subbands; fullband ADF; input signals decomposition; reduced computational complexity; separation performance; signal to interference ratio; subband signals processing; subband-based adaptive decorrelation filtering; Adaptive filters; Computational complexity; Convergence; Decorrelation; Filtering algorithms; Finite impulse response filter; Least squares approximation; Microphones; Signal processing; Speech processing;
fLanguage
English
Journal_Title
Speech and Audio Processing, IEEE Transactions on
Publisher
ieee
ISSN
1063-6676
Type
jour
DOI
10.1109/89.848221
Filename
848221
Link To Document