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Advances in Nonlinear Speech Processing: International Conference on Non-Linear Speech Processing, NOLISP 2007 Paris, France, May 22-25, 2007 Revised Selected Papers 2008 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 288 pages, height x width: 235x155 mm, weight: 468 g, XI, 288 p., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 4885
  • Izdošanas datums: 11-Jan-2008
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3540773460
  • ISBN-13: 9783540773467
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  • Formāts: Paperback / softback, 288 pages, height x width: 235x155 mm, weight: 468 g, XI, 288 p., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 4885
  • Izdošanas datums: 11-Jan-2008
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3540773460
  • ISBN-13: 9783540773467
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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, 2225May,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 (20012005). 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.
Non-Linear and Non-Conventional Techniques
Phase-Based Methods for Voice Source Analysis
1(27)
Christophe d'Alessandro
Baris Bozkurt
Boris Doval
Thierry Dutoit
Nathalie Henrich
Vu Ngoc Tuan
Nicolas Sturmel
Some Experiments in Audio-Visual Speech Processing
28(29)
G. Chollet
R. Landais
T. Hueber
H. Bredin
C. Mokbel
P. Perrot
L. Zouari
Exploiting Nonlinearity in Adaptive Signal Processing
57(21)
Phebe Vayanos
Mo Chen
Beth Jelfs
Danilo P. Mandic
Speech Synthesis
Mixing HMM-Based Spanish Speech Synthesis with a CBR for Prosody Estimation
78(8)
Xavi Gonzalvo
Ignasi Iriondo
Joan Claudi Socoro
Francesc Alias
Carlos Monzo
Objective and Subjective Evaluation of an Expressive Speech Corpus
86(9)
Ignasi Iriondo
Santiago Planet
Joan-Claudi Socoro
Francesc Alias
Speaker Recognition
On the Usefulness of Linear and Nonlinear Prediction Residual Signals for Speaker Recognition
95(10)
Marcos Faundez-Zanuy
Multi Filter Bank Approach for Speaker Verification Based on Genetic Algorithm
105(9)
Christophe Charbuillet
Bruno Gas
Mohamed Chetouani
Jean Luc Zarader
Speaker Recognition Via Nonlinear Phonetic- and Speaker-Discriminative Features
114(10)
Lara Stoll
Joe Frankel
Nikki Mirghafori
Perceptron-Based Class Verification
124(8)
Michael Gerber
Tobias Kaufmann
Beat Pfister
Speech Recognition
Manifold Learning-Based Feature Transformation for Phone Classification
132(10)
Andrew Errity
John McKenna
Barry Kirkpatrick
Word Recognition with a Hierarchical Neural Network
142(10)
Xavier Domont
Martin Heckmann
Heiko Wersing
Frank Joublin
Stefan Menzel
Bernhard Sendhoff
Christian Goerick
Hybrid Models for Automatic Speech Recognition: A Comparison of Classical ANN and Kernel Based Methods
152(9)
Ana I. Garcia-Moral
Ruben Solera-Urena
Carmen Pelaez-Moreno
Fernando Diaz-de-Maria
Towards Phonetically-Driven Hidden Markov Models: Can We Incorporate Phonetic Landmarks in HMM-Based ASR?
161(8)
Guillaume Gravier
Daniel Moraru
A Hybrid Genetic-Neural Front-End Extension for Robust Speech Recognition over Telephone Lines
169(10)
Sid-Ahmed Selouani
Habib Hamam
Douglas O'Shaughnessy
Efficient Viterbi Algorithms for Lexical Tree Based Models
179(9)
Salvador Espana-Boquera
Maria Jose Castro-Bleda
Francisco Zamora-Martinez
Jorge Gorbe-Moya
Speech Analysis
Non-stationary Self-consistent Acoustic Objects as Atoms of Voiced Speech
188(16)
Friedhelm R. Drepper
The Hartley Phase Cepstrum as a Tool for Signal Analysis
204(9)
Ioannis Paraskevas
Maria Rangoussi
Voiced Speech Analysis by Empirical Mode Decomposition
213(8)
Aicha Bouzid
Noureddine Ellouze
Estimation of Glottal Closure Instances from Speech Signals by Weighted Nonlinear Prediction
221(9)
Karl Schnell
Quantitative Perceptual Separation of Two Kinds of Degradation in Speech Denoising Applications
230(16)
Anis Ben Aicha
Sofia Ben Jebara
Exploitation of non-linear techniques
An Efficient VAD Based on a Generalized Gaussian PDF
246(9)
Oscar Pernia
Juan M. Gorriz
Javier Ramirez
Carlos G. Puntonet
Ignacio Turias
Estimating the Dispersion of the Biometric Glottal Signature in Continuous Speech
255(8)
Pedro Gomez
Agustin Alvarez
Luis Miguel Mazaira
Roberto Fernandez
Victoria Rodellar
Rafael Martinez
Cristina Munoz
Trajectory Mixture Density Networks with Multiple Mixtures for Acoustic-Articulatory Inversion
263(10)
Korin Richmond
Application of Feature Subset Selection Based on Evolutionary Algorithms for Automatic Emotion Recognition in Speech
273(10)
Aitor Alvarez
Idoia Cearreta
Juan Miguel Lopez
Andoni Arruti
Elena Lazkano
Basilio Sierra
Nestor Garay
Author Index 283