Titlebook: Nonlinear Analyses and Algorithms for Speech Processing; International Confer Marcos Faundez-Zanuy,Léonard Janer,Virginia Espino Conference

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Parameter Optimization in a Text-Dependent Cryptographic-Speech-Key Generation Taskfrom the phoneme segmentation. Finally, the Support Vector Machines classifier, relying on an RBF kernel, computes the cryptographic key. By optimising the number of parameters our results show an improvement of 19.88%, 17.08%, 14.91% for 10, 20 and 30 speakers respectively, employing the YOHO database.

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Evocative

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Conference proceedings 2005d to N- linear speech processing, in the framework of the European COST action 277 “Nonlinear speech processing”. Many speci?cs of the speech signal are not well addressed by conv- tional models currently used in the ?eld of speech processing. The purpose of NOLISP is to present and discuss novel id

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/667315.jpg

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https://doi.org/10.1007/11613107ai; algorithms; artificial intelligence; higher-order statistics; image processing; intelligent informati

VAN

The COST-277 Speech Databasech processing” European project, as a result of European collaboration. This database lets to address two main problems: the relevance of bandwidth extension, and the usefulness of a watermarking with perceptual shaping at different Watermark to Signal ratios. It will be public available after the end of the COST-277 action, in January 2006.

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On the Acoustic-to-Electropalatographic Mapping speech. It leads to a stream of binary vectors, called electropalatograms. We are interested in the mapping from the acoustic signal to electropalatographic information. We present results on experiments using Support Vector Classification and a combination of Principal Component Analysis and Support Vector Regression.

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Nonlinear Analyses and Algorithms for Speech Processing978-3-540-32586-4Series ISSN 0302-9743 Series E-ISSN 1611-3349