{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/81373"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/81373","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Co -Channel Speech Separation Based on Adaptive Decorrelation Filtering","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. 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