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NOLISP 2007: Paris, France
- Mohamed Chetouani, Amir Hussain, Bruno Gas, Maurice Milgram, Jean-Luc Zarader:

Advances in Nonlinear Speech Processing, International Conference on Non-Linear Speech Processing, NOLISP 2007, Paris, France, May 22-25, 2007, Revised Selected Papers. Lecture Notes in Computer Science 4885, Springer 2007, ISBN 978-3-540-77346-7
Non-Linear and Non-Conventional Techniques
- Christophe d'Alessandro

, Baris Bozkurt
, Boris Doval, Thierry Dutoit, Nathalie Henrich
, Vu Ngoc Tuan, Nicolas Sturmel:
Phase-Based Methods for Voice Source Analysis. 1-27 - Gérard Chollet, R. Landais, Thomas Hueber, Hervé Bredin, Chafic Mokbel, Patrick Perrot, Leila Zouari:

Some Experiments in Audio-Visual Speech Processing. 28-56 - Phebe Vayanos, Mo Chen, Beth Jelfs

, Danilo P. Mandic:
Exploiting Nonlinearity in Adaptive Signal Processing. 57-77
Speech Synthesis
- Xavi Gonzalvo, Ignasi Iriondo Sanz

, Joan Claudi Socoró, Francesc Alías
, Carlos Monzo:
Mixing HMM-Based Spanish Speech Synthesis with a CBR for Prosody Estimation. 78-85 - Ignasi Iriondo Sanz

, Santiago Planet, Joan Claudi Socoró, Francesc Alías
:
Objective and Subjective Evaluation of an Expressive Speech Corpus. 86-94
Speaker Recognition
- Marcos Faúndez-Zanuy

:
On the Usefulness of Linear and Nonlinear Prediction Residual Signals for Speaker Recognition. 95-104 - Christophe Charbuillet, Bruno Gas, Mohamed Chetouani, Jean-Luc Zarader:

Multi Filter Bank Approach for Speaker Verification Based on Genetic Algorithm. 105-113 - Lara Stoll, Joe Frankel, Nikki Mirghafori:

Speaker Recognition Via Nonlinear Phonetic- and Speaker-Discriminative Features. 114-123 - Michael Gerber, Tobias Kaufmann, Beat Pfister:

Perceptron-Based Class Verification. 124-131
Speech Recognition
- Andrew Errity

, John McKenna, Barry Kirkpatrick:
Manifold Learning-Based Feature Transformation for Phone Classification. 132-141 - Xavier Domont, Martin Heckmann

, Heiko Wersing, Frank Joublin, Stefan Menzel, Bernhard Sendhoff, Christian Goerick:
Word Recognition with a Hierarchical Neural Network. 142-151 - Ana I. García-Moral, Rubén Solera-Ureña, Carmen Peláez-Moreno, Fernando Díaz-de-María:

Hybrid Models for Automatic Speech Recognition: A Comparison of Classical ANN and Kernel Based Methods. 152-160 - Guillaume Gravier, Daniel Moraru:

Towards Phonetically-Driven Hidden Markov Models: Can We Incorporate Phonetic Landmarks in HMM-Based ASR? 161-168 - Sid-Ahmed Selouani, Habib Hamam

, Douglas D. O'Shaughnessy:
A Hybrid Genetic-Neural Front-End Extension for Robust Speech Recognition over Telephone Lines. 169-178 - Salvador España Boquera, María José Castro Bleda

, Francisco Zamora-Martínez, Jorge Gorbe-Moya:
Efficient Viterbi Algorithms for Lexical Tree Based Models. 179-187
Speech Analysis
- Friedhelm R. Drepper:

Non-stationary Self-consistent Acoustic Objects as Atoms of Voiced Speech. 188-203 - Ioannis Paraskevas, Maria Rangoussi:

The Hartley Phase Cepstrum as a Tool for Signal Analysis. 204-212 - Aïcha Bouzid, Noureddine Ellouze:

Voiced Speech Analysis by Empirical Mode Decomposition. 213-220 - Karl Schnell:

Estimation of Glottal Closure Instances from Speech Signals by Weighted Nonlinear Prediction. 221-229 - Anis Ben Aicha, Sofia Ben Jebara:

Quantitative Perceptual Separation of Two Kinds of Degradation in Speech Denoising Applications. 230-245
Exploitation of non-linear techniques
- Oscar Pernía, Juan Manuel Górriz, Javier Ramírez, Carlos García Puntonet, Ignacio Turias:

An Efficient VAD Based on a Generalized Gaussian PDF. 246-254 - Pedro Gómez

, Agustín Álvarez-Marquina
, Luis Miguel Mazaira-Fernández, Roberto Fernández, María Victoria Rodellar Biarge, Rafael Martínez, Cristina Muñoz-Mulas:
Estimating the Dispersion of the Biometric Glottal Signature in Continuous Speech. 255-262 - Korin Richmond

:
Trajectory Mixture Density Networks with Multiple Mixtures for Acoustic-Articulatory Inversion. 263-272 - Aitor Álvarez, Idoia Cearreta, Juan Miguel López

, Andoni Arruti, Elena Lazkano, Basilio Sierra, Nestor Garay
:
Application of Feature Subset Selection Based on Evolutionary Algorithms for Automatic Emotion Recognition in Speech. 273-281

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