第22回 ロボット聴覚特集 - 奥乃研究室 - 京都大学

[15] Y. Mori, H. Saruwatari, T. Takatani, S. Ukai, K.Shikano, T. Hiekata T. Morita “Real-time implementationof two-stage blind sources separationcombining SIMO-ICA and binary masking,” Proc.of IWAENC, pp.229–232, 2005.[16] S. Choi, S. Amari, A. Cichocki, and R. Liu, “Naturalgradient learning with a nonholonomic constraintfor blind deconvolution of multiple channels,”Proc. of International Workshop on ICA andBSS, pp.371–376, Jan. 1999.[17] K. Matsuoka and S. Nakashima, “Minimal distortionprinciple for blind source separation,” Proc. ofInternational Conference on ICA and BSS, pp.722–727, Dec. 2001.[18] N. Murata and S. Ikeda, “An on-line algorithm forblind source separation on speech signals,” Proc. of1998 International Symposium on Nonlinear Theoryand its Application (NOLTA), vol.3, pp.923–926, Sep. 1998.[19] T. Nishikawa, H. Saruwatari, and K. Shikano,“Stable learning algorithm for blind separationof temporally correlated acoustic signals combiningmultistage ICA and linear prediction,” IEICETrans. Fundamentals, vol.E86-A, no.8, pp.2028–2036, 2003.[20] H. Saruwatari, H. Yamajo, T. Takatani, T.Nishikawa, and K. Shikano, “Blind separation anddeconvolution of MIMO-FIR system with coloredsound inputs using SIMO-model-based ICA”, Proc.IEEE Workshop on SSP, pp.421–424, Sept. 2003.[21] C. Simon, P. Loubaton, C. Vignat, C. Jutten, G.d’Urso, “Separation of a class of convolutive mixturesacontrat: a contrast function approach,” Proc.of ICASSP, 1429–1432, March 1999.[22] J.K. Tugnait, “Identification and deconvolution ofmultichannel linear non-gaussian processes usinghigher order statistics and inverse filter criteria,”IEEE trans. on signal processing, Vol. 45. pp 658–672, 1997.[23] N. Charkani, and Y. Deville, “A convolutive separationmethod with self-optimizing non-linearities,”Proc. of ICASSP, pp.2909–2912, Mar. 1999.[24] J.-F. Cardoso, “Multidimensional independentcomponent analysis,” Proc. of ICASSP, vol. 4,pp.1941–1944, May 1998.15