Details Details PDF BIBTEX RIS Title An Improved Method of Permutation Correction in Convolutive Blind Source Separation Journal title Archives of Acoustics Yearbook 2010 Volume vol. 35 Issue No 4 Authors Wang, Lin ; Ding, Heping ; Yin, Fuliang Keywords blind source separation ; cocktail party ; convolutive mixing ; frequency domain ; permutation problem Divisions of PAS Nauki Techniczne Coverage 493-504 Publisher Polish Academy of Sciences, Institute of Fundamental Technological Research, Committee on Acoustics Date 2010 Type Artykuły / Articles Identifier DOI: 10.2478/v10168-010-0038-9 Source Archives of Acoustics; 2010; vol. 35; No 4; 493-504 References Allen J. (1979), Image method for efficiently simulating small room acoustics, Journal of the Acoustical Society of America, 65, 943. ; Bell A. (1995), An information maximization approach to blind separation and blind deconvolution, Neural Computation, 7, 6, 1129. ; Bingham E. (2000), A fast fixed-point algorithm for independent component analysis of complex valued signals, International Journal of Neural Systems, 10, 1, 1. ; Douglas S. (2007), Scaled natural gradient algorithms for instantaneous and convolutive blind source separation, null, 637. ; Hyvarien A. (2001), Independent Component Analysis. ; Ikram M. (2000), Exploring permutation inconsistency in blind separation of speechsignals in a reverberant environment, null, 1041. ; Ikram M. (2005), Permutation inconsistency in blind speech separation: investigation and solutions, IEEE Transactions on Speech and Audio Processing, 13, 1, 1. ; Joho M. (2000), Overdetermined blind source separation: Using more sensors than source signals in a noisy mixture, 81. ; Matsuoka K., Nakashima S. (2001), <i>Minimal distortion principle for blind source separation</i>, 2001 International Workshop on Independent Component, pp. 722-727. ; Murata N. (2001), An approach to blind source separation based on temporal structure of speech signals, Neurocomputing, 41, 1-4, 1. ; Pedersen M. (2007), Springer handbook on Speech Processing and Speech Communication, 1. ; Sawada H., Mukai R., Kethulle S., Araki S., Makino S. (2003), <i>Spectral smoothing for frequency-domain blind source separation</i>, 2003 International Workshop on Acoustic Echo and Noise Control, pp. 311-314, Kyoto, Japan. ; Sawada H. (2004), A robust and precise method for solving the permutation problem of frequency-domain blind source separation, IEEE Transactions on Speech and Audio Processing, 12, 5, 530. ; Sawada H. (2007a), Blind Speech Separation, 47. ; Sawada H. (2007b), Measuring dependence of bin-wise separated signals for permutation alignment in frequency-domain BSS, null, 3247. ; Smaragdis P. (1998), Blind separation of convolved mixtures in the frequency domain, Neurocomputing, 22, 1-3, 21.