Advances in Nonlinear Speech Processing

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