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Evaluation of A Self-Generator Method for Initial Filters of SIMO-ICA Applied to Blind Separation of Binaural Sound Mixtures

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dc.contributor.author Tomoya Takatani en
dc.contributor.author Satoshi Ukai en
dc.contributor.author Tsuyoki Nishikawa en
dc.contributor.author Hiroshi Saruwatari en
dc.contributor.author Kiyohiro Shikano en
dc.date.accessioned 2012-08-22T07:59:02Z en
dc.date.available 2012-08-22T07:59:02Z en
dc.date.issued 2005-10 en
dc.identifier.isbn 0780391543 en
dc.identifier.uri http://hdl.handle.net/10061/8274 en
dc.description WASPAA2005: IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, October 16, 2005, New Paltz, NewYork, USA. en
dc.description.abstract Blind separation of binaural mixed sounds using single-input multiple-output (SIMO)-model-based independent component analysis (SIMO-ICA) with self-generator for initial filter (SIMO-ICA-SG) is now being studied by the authors. This method contains frequency-domain ICA (FDICA-PB), single-talk detection, direction of arrival (DOA) estimation, head related transfer function (HRTF) matrix bank, and SIMO-ICA. This paper describes robustness of SIMO-ICA-SG against the mismatch of HRTF matrix bank. To evaluate it, the sound decomposition experiments are carried out under the real acoustic conditions. The experimental results reveal that the decomposition performance of the proposed method with mismatched HRTF matrix bank is superior to those of the conventional methods, and almost the same as those of the proposed method with matched one. en
dc.language.iso en en
dc.publisher IEEE en
dc.rights Copyright 2005 IEEE en
dc.title Evaluation of A Self-Generator Method for Initial Filters of SIMO-ICA Applied to Blind Separation of Binaural Sound Mixtures en
dc.type.nii Conference Paper en
dc.textversion Publisher en
dc.identifier.spage 13 en
dc.identifier.epage 16 en
dc.relation.doi 10.1109/ASPAA.2005.1540156 en


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