Co -Channel Speech Separation Based on Adaptive Decorrelation Filtering
Yen, Kuan-Chieh
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Permalink
https://hdl.handle.net/2142/81373
Description
Title
Co -Channel Speech Separation Based on Adaptive Decorrelation Filtering
Author(s)
Yen, Kuan-Chieh
Issue Date
2001
Doctoral Committee Chair(s)
Yunxin Zhao
Department of Study
Electrical Engineering
Discipline
Electrical Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Electronics and Electrical
Language
eng
Abstract
Finally, to further improve the separation performance achieved by the previous direct-form ADF as well as to facilitate modular and easy implementation of ADF in hardware, a lattice-ladder structure for ADF is developed based on the joint forward and backward linear predictions. Experimental results demonstrate the effectiveness of the lattice-ladder algorithm in reducing cross-interference between co-channel speech sources. The results also show that the lattice-ladder algorithm achieved significant performance improvement over the direct-form algorithm. A simplified lattice-ladder ADF is proposed as a compromise between computational cost and system performance.
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