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.