New PDF release: Advances in Nonlinear Speech Processing: 5th International

By Pedro Gómez-Vilda, Victoria Rodellar-Biarge, Víctor Nieto-Lluis, Cristina Muñoz-Mulas (auth.), Carlos M. Travieso-González, Jesús B. Alonso-Hernández (eds.)

ISBN-10: 3642250203

ISBN-13: 9783642250200

This ebook constitutes the lawsuits of the fifth foreign convention on Nonlinear Speech Processing, NoLISP 2011, held in Las Palmas de Gran Canaria, Spain, in November 2011. the aim of the workshop is to offer and talk about new principles, thoughts and effects relating to substitute methods in speech processing which can leave from the most move.
The 33 papers awarded including 2 keynote talks have been rigorously reviewed and chosen for inclusion during this ebook. the themes of NOLISP 2011 have been non-linear approximation and estimation; non-linear oscillators and predictors; higher-order data; self reliant part research; nearest associates; neural networks; choice bushes; non-parametric types; dynamics of non-linear platforms; fractal tools; chaos modeling; and non-linear differential equations.

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Read Online or Download Advances in Nonlinear Speech Processing: 5th International Conference on Nonlinear Speech Processing, NOLISP 2011, Las Palmas de Gran Canaria, Spain, November 7-9, 2011. Proceedings PDF

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Additional info for Advances in Nonlinear Speech Processing: 5th International Conference on Nonlinear Speech Processing, NOLISP 2011, Las Palmas de Gran Canaria, Spain, November 7-9, 2011. Proceedings

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Journal of Economic Interaction and Coordination 4(1), 39–54 (2009) 13. : Empirical evidences of a common multifractal signature in economic, biological and physical systems. Physica A 388(10), 2025–2035 (2009) 14. : An Optimized Algorithm for the Evaluation of Local Singularity Exponents in Digital Signals. , et al. ) IWCIA 2011. LNCS, vol. 6636, pp. 346–357. Springer, Heidelberg (2011) 15. : Evidence for nonlinear sound production mechanisms in the vocal tract. , Marchal, A. ) Speech Production and Speech Modelling.

M. B. ): NOLISP 2011, LNAI 7015, pp. 25–32, 2011. c Springer-Verlag Berlin Heidelberg 2011 26 R. Zdunek very weak for any adjacent bins since real speech signals have a locally smooth frequency as well as temporal structure. In this paper, we attempt to additionally improve the EM-NMF algorithm by introducing local smoothness constraints to the underlying Blind Source Separation (BSS) model. Our approach is based on the Markov Random Field (MRF) model that describes pair-wise interactions among adjacent bins in spectrograms, and it has been used for NMF-based blind image separation in [7].

Then we compute the logarithm of the energy of each coefficient to produce the final coefficient vector. Even though having five streams of coefficients might seem too much the number can be reduced to allow for faster processing, for the purposes of speech analysis having five independent and parallel decompositions that produce five separate outcomes is a more comprehensive approach.

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Advances in Nonlinear Speech Processing: 5th International Conference on Nonlinear Speech Processing, NOLISP 2011, Las Palmas de Gran Canaria, Spain, November 7-9, 2011. Proceedings by Pedro Gómez-Vilda, Victoria Rodellar-Biarge, Víctor Nieto-Lluis, Cristina Muñoz-Mulas (auth.), Carlos M. Travieso-González, Jesús B. Alonso-Hernández (eds.)


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