Accès libre

Application of independent component analysis for speech–music separation using an efficient score function estimation

À propos de cet article

[1] PANAGIOTAKIS, C.-TZIRITAS, G. : Speech/Music Discriminator based on RMS and Zero-Crossing, IEEE Transactions on Multimedia 7 No. 2 (2005), 155-166.10.1109/TMM.2004.840604Search in Google Scholar

[2] PINQUIER, J.-S´ENAC, C.-ORBRECHT, R. : Speech and Music Classification in Audio Documents, In Proceedings of ICASSP’2002,, vol. 4, USA, May 2002.10.1109/ICASSP.2002.1004854Search in Google Scholar

[3] SCHEIRER, E.-SLANEY, M. : Construction and Evaluation of a Robust Multifeature Speech/Music Discriminator, In Proceedings of ICASSP’97, Munich, Germany,, Apr 1997, pp. 1331-1334.Search in Google Scholar

[4] CAREY, M. J.-PARRIS, E. S.-LLOYD-THOMAS, H. : A Comparison of Features for Speech- Music Discrimination, In Proceedings of ICASSP’99, vol. 1, USA,March 1999, pp.149-152.10.1109/ICASSP.1999.758084Search in Google Scholar

[5] JUTTEN, C.-HERAULT, J. : Blind Separation of Sources I. an Adaptive Algorithm based on Neuromimetric Architecture, Signal Processing 24 No. 1 (1991), 1-10.Search in Google Scholar

[6] COMON, P. : Independent Component Analysis, a New Concept?, Signal Processing 36 No. 3 (1994), 287-314.10.1016/0165-1684(94)90029-9Search in Google Scholar

[7] CARDOSO, J. F. : Blind Signal Separation: Statistical Principles, Proceedings of the IEEE 9 No. 10 (1998), 2009-2025.10.1109/5.720250Search in Google Scholar

[8] HYV¨ARINEN, A.-OJA, E. : Independent Component Analysis: Algorithms and Applications, Neural Networks 13 No. 4 (2000), 411-430.10.1016/S0893-6080(00)00026-5Search in Google Scholar

[9] CHOI, S.-CICHOCKI, A.-PARK, H.-M.-LEE, S.-Y. : Blind Source Separation and Independent Component Analysis: a Review, Neural Information Processing - Letters and Reviews 6 No. 1 (2005), 1-57.Search in Google Scholar

[10] PEDERSEN, M. S.-LARSEN, J.-KJEMS, U.-PARRA, L. C. : A Survey of Convolutive Blind Source Separation Methods, Springer Handbook on Speech Processing and Speech Communication, Springer, 2007, pp. 1-34.10.1007/978-3-540-49127-9_52Search in Google Scholar

[11] CARDOSO, J.-F. : Source Separation using Higher Order Moments, Proceeding ICASSP, 1989, pp. 2109-2112.Search in Google Scholar

[12] MANSOUR, A.-JUTTEN, C. : Fourth Order Criteria for Blind Separation of Sources, IEEE Trans. on Signal Processing 43 No. 8 (1995), 2022-2025.10.1109/78.403370Search in Google Scholar

[13] BABAIE-ZADE, M.-JUTTEN, C.-NAYEBI, K. : Differential of Mutual Information Function, IEEE Signal Processing Letters 11 No. 1 (2004), 48-51.10.1109/LSP.2003.819344Search in Google Scholar

[14] SAMADI, S.-BABAIE-ZADE, M.-JUTTEN, C.-NAYEBI, K. : Blind Source Separation by Adaptive Estimation of Score Function Difference, Proceedings of ICA 2004, Granada, Spain, 2004, pp. 9-17.10.1007/978-3-540-30110-3_2Search in Google Scholar

[15] VLASSIS, N.-MOTOMURA, Y. : Efficient Source Adaptivity in Independent Component Analysis, IEEE Transaction on Neural Networks 12 No. 3 (2001), 559-566.10.1109/72.92555818249888Search in Google Scholar

[16] BABAIE-ZADE, M.-JUTTEN, C. : A General Approach for Mutual Information Minimization and its Application to Blind Source Separation, Signal Processing 85 No. 5 (2005), 975-995.10.1016/j.sigpro.2004.11.021Search in Google Scholar

[17] AMARI, S.-CICHOCKI, A.-YANG, H. H. : A New Learning Algorithm for Blind Signal Separation, Advances in Neural Information Processing Systems (1996,), 757-763, The MIT Press.Search in Google Scholar

ISSN:
1335-3632
Langue:
Anglais
Périodicité:
6 fois par an
Sujets de la revue:
Engineering, Introductions and Overviews, other