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Real-Time Blind Separation of Acoustic Signals Using SIMO-Model-Based Independent Component Analysis

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dc.contributor.author Hiroshi Saruwatari en
dc.contributor.author Yoshimitsu Mori en
dc.contributor.author Tomoya Takatani en
dc.contributor.author Kiyohiro Shikano en
dc.contributor.author Takashi Hiekata en
dc.contributor.author Youhei Ikeda en
dc.contributor.author Hiroshi Hashimoto en
dc.contributor.author Takashi Morita en
dc.date.accessioned 2012-08-22T07:59:00Z en
dc.date.available 2012-08-22T07:59:00Z en
dc.date.issued 2006-09 en
dc.identifier.uri http://hdl.handle.net/10061/8253 en
dc.description SCIS & ISIS 2006: Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on advanced Intelligent Systems , September 20-24, 2006, Tokyo, Japan. en
dc.description.abstract A new real-time two-stage blind source separation (BSS) method for convoltive mixtures of speech is proposed, in which a single-input multiple-output (SIMO)-model-based independent component analysis (lCA) and a new SIMO-model-based binary masking are combined. SIMO-model-based lCA can separate the mixed signals, not into monaural source signals but into SIMO-model-based signals from independent sources in their original form at the microphones. Thus, the separated signals of SIMO-model-based ICA can maintain the spatial qualities of each sound source. Owing to this attractive property, novel SIMO-model-based binary masking can be applied to efficiently remove the residual interference components after SIMO-model-based ICA. In addition, the performance deterioration due to the latency problem in ICA can be mitigated by introducing real-time binary masking. We develop a pocket-size real-time DSP module implementing the new BSS method, and report the experimental evaluation of the proposed method's superiority to the conventional BSS methods, regarding moving-sound separation. en
dc.language.iso en en
dc.title Real-Time Blind Separation of Acoustic Signals Using SIMO-Model-Based Independent Component Analysis en
dc.type.nii Conference Paper en
dc.textversion Publisher en
dc.identifier.spage 510 en
dc.identifier.epage 515 en

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