Co -Channel Speech Separation Based on Adaptive Decorrelation Filtering

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.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Yen, Kuan-Chieh

Contributors dc:contributor

• Yunxin Zhao

• Engineering, Electronics and Electrical

Language dc:language

eng

Identifier

(MiAaPQ)AAI9996709

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/81373