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Title:Co -Channel Speech Separation Based on Adaptive Decorrelation Filtering
Author(s):Yen, Kuan-Chieh
Doctoral Committee Chair(s):Yunxin Zhao
Department / Program:Electrical Engineering
Discipline:Electrical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Engineering, Electronics and Electrical
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.
Issue Date:2001
Type:Text
Language:English
Description:142 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001.
URI:http://hdl.handle.net/2142/81373
Other Identifier(s):(MiAaPQ)AAI9996709
Date Available in IDEALS:2015-09-25
Date Deposited:2001


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