Nonlinear Analyses and Algorithms for Speech Processing

Издательство Springer, 2007, -292 pp.International Conference on Nonlinear Speech Processing, NOLISP 2007, Paris, France, May 22-25, 2007. Revised Selected Papers.We present in this volume a collection of revised selected papers from the ISCA Tutorial and Research Workshop on Nonlinear Speech Processing (NOLISP 2007) held in Paris, France, 22–25 May, 2007. NOLISP 2007 was organized by the University Pierre and Marie Curie (UPMC) with the generous support of ISCA (International Speech Communication Association), EURASIP and the IEEE. NOLISP 2007 was the first follow-on workshop to a series of three earlier events related to nonlinear speech processing, that were organized within the framework of the European COST action 277 Nonlinear speech processing (2001–2005). The financial support of ISCA enabled the attendance of leading researchers from various parts of the world.The exciting field of speech processing has witnessed tremendous development over the past 20 years or so, thanks to both technological progress and to the growing focus of research on a number of key application areas. However, some specificities of the speech signal are still not well addressed by the currently available models. Hence, new nonconventional models and processing techniques need to be investigated in order to foster and/or accompany future progress, even if they do not match immediately the level of performance and understanding of the current state-of-the-art approaches.The purpose of NOLISP is to present and discuss novel ideas, work and results related to such alternative techniques for speech processing, which depart from mainstream approaches. It declared its intent to be an interdisciplinary forum, intertwining research in different fields of speech processing with its growing applications in everyday practice.One of the special characteristics of the NOLISP volumes is that the authors usually propose new improvements for speech processing by drawing inspiration from other exciting fields including, amongst others, statistical signal processing, pattern classification, multi-modal processing, perceptual-based criteria, auditory processing and machine learning-based approaches. **Non-Linear and Non-Conventional Techniques**Phase-Based Methods for Voice Source Analysis Some Experiments in Audio-Visual Speech Processing Exploiting Nonlinearity in Adaptive Signal Processing **Speech Synthesis**Mixing HMM-Based Spanish Speech Synthesis with a CBR for Prosody EstimationObjective and Subjective Evaluation of an Expressive Speech Corpus**Speaker Recognition**On the Usefulness of Linear and Nonlinear Prediction Residual Signals for Speaker Recognition Multi Filter Bank Approach for Speaker Verification Based on Genetic AlgorithmSpeaker Recognition Via Nonlinear Phonetic- and Speaker-Discriminative Features Perceptron-Based Class Verification **Speech Recognition**Manifold Learning-Based Feature Transformation for Phone Classification Word Recognition with a Hierarchical Neural Network Hybrid Models for Automatic Speech Recognition: A Comparison of Classical ANN and Kernel Based Methods Towards Phonetically-Driven Hidden Markov Models: Can We Incorporate Phonetic Landmarks in HMM-Based ASR? A Hybrid Genetic-Neural Front-End Extension for Robust Speech Recognition over Telephone Lines Efficient Viterbi Algorithms for Lexical Tree Based Models **Speech Analysis**Non-stationary Self-consistent Acoustic Objects as Atoms of Voiced SpeechThe Hartley Phase Cepstrum as a Tool for Signal Analysis Voiced Speech Analysis by Empirical Mode Decomposition Estimation of Glottal Closure Instances from Speech Signals by Weighted Nonlinear PredictionQuantitative Perceptual Separation of Two Kinds of Degradation in Speech Denoising Applications **Exploitation of non-linear techniques**An Efficient VAD Based on a Generalized Gaussian PDF Estimating the Dispersion of the Biometric Glottal Signature in Continuous Speech Trajectory Mixture Density Networks with Multiple Mixtures for Acoustic-Articulatory Inversion Application of Feature Subset Selection Based on Evolutionary Algorithms for Automatic Emotion Recognition in Speech Издательство Springer, 2007, -292 pp. International Conference on Nonlinear Speech Processing, NOLISP 2007, Paris, France, May 22-25, 2007. Revised Selected Papers. We present in this volume a collection of revised selected papers from the ISCA Tutorial and Research Workshop on Nonlinear Speech Processing (NOLISP 2007) held in Paris, France, 22–25 May, 2007. NOLISP 2007 was organized by the University Pierre and Marie Curie (UPMC) with the generous support of ISCA (International Speech Communication Association), EURASIP and the IEEE. NOLISP 2007 was the first follow-on workshop to a series of three earlier events related to nonlinear speech processing, that were organized within the framework of the European COST action 277 Nonlinear speech processing (2001–2005). The financial support of ISCA enabled the attendance of leading researchers from various parts of the world. The exciting field of speech processing has witnessed tremendous development over the past 20 years or so, thanks to both technological progress and to the growing focus of research on a number of key application areas. However, some specificities of the speech signal are still not well addressed by the currently available models. Hence, new nonconventional models and processing techniques need to be investigated in order to foster and/or accompany future progress, even if they do not match immediately the level of performance and understanding of the current state-of-the-art approaches. The purpose of NOLISP is to present and discuss novel ideas, work and results related to such alternative techniques for speech processing, which depart from mainstream approaches. It declared its intent to be an interdisciplinary forum, intertwining research in different fields of speech processing with its growing applications in everyday practice. One of the special characteristics of the NOLISP volumes is that the authors usually propose new improvements for speech processing by drawing inspiration from other exciting fields including, amongst others, statistical signal processing, pattern classification, multi-modal processing, perceptual-based criteria, auditory processing and machine learning-based approaches. Non-Linear and Non-Conventional Techniques Phase-Based Methods for Voice Source Analysis Some Experiments in Audio-Visual Speech Processing Exploiting Nonlinearity in Adaptive Signal Processing Speech Synthesis Mixing HMM-Based Spanish Speech Synthesis with a CBR for Prosody Estimation Objective and Subjective Evaluation of an Expressive Speech Corpus Speaker Recognition On the Usefulness of Linear and Nonlinear Prediction Residual Signals for Speaker Recognition Multi Filter Bank Approach for Speaker Verification Based on Genetic Algorithm Speaker Recognition Via Nonlinear Phonetic- and Speaker-Discriminative Features Perceptron-Based Class Verification Speech Recognition Manifold Learning-Based Feature Transformation for Phone Classification Word Recognition with a Hierarchical Neural Network Hybrid Models for Automatic Speech Recognition: A Comparison of Classical ANN and Kernel Based Methods Towards Phonetically-Driven Hidden Markov Models: Can We Incorporate Phonetic Landmarks in HMM-Based ASR? A Hybrid Genetic-Neural Front-End Extension for Robust Speech Recognition over Telephone Lines Efficient Viterbi Algorithms for Lexical Tree Based Models Speech Analysis Non-stationary Self-consistent Acoustic Objects as Atoms of Voiced Speech The Hartley Phase Cepstrum as a Tool for Signal Analysis Voiced Speech Analysis by Empirical Mode Decomposition Estimation of Glottal Closure Instances from Speech Signals by Weighted Nonlinear Prediction Quantitative Perceptual Separation of Two Kinds of Degradation in Speech Denoising Applications Exploitation of non-linear techniques An Efficient VAD Based on a Generalized Gaussian PDF Estimating the Dispersion of the Biometric Glottal Signature in Continuous Speech Trajectory Mixture Density Networks with Multiple Mixtures for Acoustic-Articulatory Inversion Application of Feature Subset Selection Based on Evolutionary Algorithms for Automatic Emotion Recognition in Speech We present in this volume a collection of revised selected papers from the ISCA Tutorial and Research Workshop on Nonlinear Speech Processing (NO- LISP 2007)held in Paris,France, 22–25May,2007.NOLISP 2007was organized by the University Pierre and Marie Curie (UPMC) with the generous support of ISCA (International Speech Communication Association), EURASIP and the IEEE. NOLISP 2007 was the?rst follow-on workshop to a series of three e- lier events related to nonlinear speech processing, that were organized within the framework of the European COST action 277 Nonlinear speech processing (2001–2005). The?nancial support of ISCA enabled the attendance of leading researchers from various parts of the world. Theexciting?eldofspeechprocessinghaswitnessedtremendousdevelopment over the past 20 years or so, thanks to both technological progress and to the growing focus of research on a number of key application areas. However, some speci?cities of the speech signal are still not well addressed by the currently availablemodels. Hence, new nonconventionalmodels and processing techniques needtobeinvestigatedinordertofosterand/oraccompanyfutureprogress,even if they do not match immediately the level of performance and understanding of the current state-of-the-art approaches. ThepurposeofNOLISPistopresentanddiscussnovelideas,workandresults related to such alternative techniques for speech processing, which depart from mainstream approaches. It declared its intent to be an interdisciplinary forum, intertwining research in di?erent?elds of speech processing with its growing applications in everyday practice. This book constitutes the thoroughly refereed postproceedings of the International Conference on Non-Linear Speech Processing, NOLISP 2007, held in Paris, France, in May 2007. The 24 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers are organized in topical sections on nonlinear and nonconventional techniques, speech synthesis, speaker recognition, speech recognition, speech analysis, and exploitation of non-linear techniques

This intriguing book constitutes the thoroughly refereed postproceedings of the International Conference on Non-Linear Speech Processing, NOLISP 2007, held in Paris, France, in May 2007. The 24 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on nonlinear and non-conventional techniques, speech synthesis, speaker recognition, speech recognition, and many other subjects.

Constitutes the refereed postproceedings of the International Conference on Non-Linear Speech Processing, NOLISP 2007, held in Paris, France, in May 2007. This work includes papers that are organized in topical sections on nonlinear and nonconventional techniques, speech synthesis, speaker recognition, speech recognition, and speech analysis. Annotation This book constitutes the proceedings of the International Conference on Advances in Nonlinear Speech Processing, NOLISP 2009, held in Vic (Barcelona), Spain during June 25-27, 2009. The volume deals with new ideas, tqchniques and results related to alternative approaches in speech processing