Advances in Nonlinear Speech Processing

1. Front Matter

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2. Non-Linear and Non-Conventional Techniques

   1. Phase-Based Methods for Voice Source Analysis

      • Christophe d’Alessandro, Baris Bozkurt, Boris Doval, Thierry Dutoit, Nathalie Henrich, Vu Ngoc Tuan et al.

      Pages 1-27

   2. Some Experiments in Audio-Visual Speech Processing

      • G. Chollet, R. Landais, T. Hueber, H. Bredin, C. Mokbel, P. Perrot et al.

      Pages 28-56

   3. Exploiting Nonlinearity in Adaptive Signal Processing

      • Phebe Vayanos, Mo Chen, Beth Jelfs, Danilo P. Mandic

      Pages 57-77

3. Speech Synthesis

   1. Mixing HMM-Based Spanish Speech Synthesis with a CBR for Prosody Estimation

      • Xavi Gonzalvo, Ignasi Iriondo, Joan Claudi Socoró, Francesc Alías, Carlos Monzo

      Pages 78-85

   2. Objective and Subjective Evaluation of an Expressive Speech Corpus

      • Ignasi Iriondo, Santiago Planet, Joan-Claudi Socoró, Francesc Alías

      Pages 86-94

4. Speaker Recognition

   1. On the Usefulness of Linear and Nonlinear Prediction Residual Signals for Speaker Recognition

      • Marcos Faundez-Zanuy

      Pages 95-104

   2. Multi Filter Bank Approach for Speaker Verification Based on Genetic Algorithm

      • Christophe Charbuillet, Bruno Gas, Mohamed Chetouani, Jean Luc Zarader

      Pages 105-113

   3. Speaker Recognition Via Nonlinear Phonetic- and Speaker-Discriminative Features

      • Lara Stoll, Joe Frankel, Nikki Mirghafori

      Pages 114-123

   4. Perceptron-Based Class Verification

      • Michael Gerber, Tobias Kaufmann, Beat Pfister

      Pages 124-131

5. Speech Recognition

   1. Manifold Learning-Based Feature Transformation for Phone Classification

      • Andrew Errity, John McKenna, Barry Kirkpatrick

      Pages 132-141

   2. Word Recognition with a Hierarchical Neural Network

      • Xavier Domont, Martin Heckmann, Heiko Wersing, Frank Joublin, Stefan Menzel, Bernhard Sendhoff et al.

      Pages 142-151

   3. Hybrid Models for Automatic Speech Recognition: A Comparison of Classical ANN and Kernel Based Methods

      • Ana I. García-Moral, Rubén Solera-Ureña, Carmen Peláez-Moreno, Fernando Díaz-de-María

      Pages 152-160

   4. Towards Phonetically-Driven Hidden Markov Models: Can We Incorporate Phonetic Landmarks in HMM-Based ASR?

      • Guillaume Gravier, Daniel Moraru

      Pages 161-168

   5. A Hybrid Genetic-Neural Front-End Extension for Robust Speech Recognition over Telephone Lines

      • Sid-Ahmed Selouani, Habib Hamam, Douglas O’Shaughnessy

      Pages 169-178

   6. Efficient Viterbi Algorithms for Lexical Tree Based Models

      • Salvador España-Boquera, Maria Jose Castro-Bleda, Francisco Zamora-Martínez, Jorge Gorbe-Moya

      Pages 179-187

6. Speech Analysis

   1. Non-stationary Self-consistent Acoustic Objects as Atoms of Voiced Speech

      • Friedhelm R. Drepper

      Pages 188-203

   2. The Hartley Phase Cepstrum as a Tool for Signal Analysis

      • Ioannis Paraskevas, Maria Rangoussi

      Pages 204-212

   3. Voiced Speech Analysis by Empirical Mode Decomposition

      • Aïcha Bouzid, Noureddine Ellouze

      Pages 213-220

   4. Estimation of Glottal Closure Instances from Speech Signals by Weighted Nonlinear Prediction

      • Karl Schnell

      Pages 221-229

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.

• AI
• affective computing
• algorithms
• artificial intelligence
• classification
• corpus
• emotion recognition
• feature extraction
• glottal signature
• intelligent information processing
• machine learning
• networks
• speech processing
• speech recognition
• speech synthesis

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