Lattice-ladder structured adaptive decorrelation filtering for co-channel speech separation

A lattice-ladder adaptive decorrelation filtering (ADF) algorithm is proposed with the aim of developing a more efficient co-channel speech separation system. It is shown that based on the joint forward and backward linear predictions, a lattice-ladder structure can be derived for ADF. Experimental...

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Bibliographic Details
Main Authors: Kuan-Chich Yen, Yunxin Zhao
Format: Conference Proceeding
Language:English
Subjects:
Acoustic signal processing
Acoustic testing
Adaptive filters
Decorrelation
Filtering algorithms
Finite impulse response filter
Signal processing
Signal processing algorithms
Speech processing
Speech recognition
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Description
Summary:A lattice-ladder adaptive decorrelation filtering (ADF) algorithm is proposed with the aim of developing a more efficient co-channel speech separation system. It is shown that based on the joint forward and backward linear predictions, a lattice-ladder structure can be derived for ADF. Experimental results show that the proposed algorithm is effective in reducing cross-interference between co-channel speech sources and has better tracking ability on the variations in the acoustic environment compared to the original direct-form ADF algorithm.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2000.861986