第22回 ロボット聴覚特集 - 奥乃研究室 - 京都大学

社 団 法 人 人 工 知 能 学 会Japanese Society forArtificial Intelligence人 工 知 能 学 会JSAI Technical ReportSIG-CHallege-0522-4 (10/14)SIMO-ICA 2 Two-Stage Real-Time Blind Source Separation Combining SIMO-ICA and Binary Mask Processing † † † † ‡ ‡Y. Mori † , T. Takatani † , H. Saruwatari † , K. Shikano † ,T.Hiekata ‡ ,T.Morita ‡† Nara Institute of Science and Technology‡() Kobe Steel,Ltd.E-mail: †{yoshim-m, tomoya-t, sawatari, shikano}@is.naist.jp,‡{t-hiekata, takashi-morita}@kobelco.jpAbstractWe newly propose a real-time two-stage blindsource separation (BSS) for binaural mixed signalsobserved at the ears of humanoid robot, inwhich a Single-Input Multiple-Output (SIMO)-model-based independent component analysis(ICA) and binary mask processing are combined.SIMO-model-based ICA can separatethe mixed signals, not into monaural source signalsbut into SIMO-model-based signals fromindependent sources as they are at the microphones.Thus, the separated signals ofSIMO-model-based ICA can maintain the spatialqualities of each sound source, and thisyields that binary mask processing can be appliedto efficiently remove the residual interferencecomponents after SIMO-model-basedICA. The experimental results obtained witha human-like head reveal that the separationperformance can be considerably improved byusing the proposed method in comparison tothe conventional ICA-based and binary-maskbasedBSS methods.1 (BSS) (DOA) BSS BSS [1] [2, 3] (ICA) [4] BSS [5,6,7,8] BSS ICA ICA [9] ICA () 2 BSS BSS 2 Single-Input Multiple-Output (SIMO) ICA (SIMO-ICA) [10, 11] SIMO-ICA SIMO – [12, 13, 14] “SIMO” SIMO-ICA SIMO SIMO-ICA SIMO-ICA BSS23