Speech Processing, Recognition and Artificial Neural Networks contains papers from leading researchers and selected students, discussing the experiments, theories and perspectives of acoustic phonetics as well as the latest techniques in the field of spe ech science and technology. Auditory and Neural Network Models for Speech;

Section 1 — Fundamentals of Speech Analysis and Perceptron.- Articulatory Constraints on Distinctive Features.- “Herr Müller vivrà a Taranto con i suoi colleghi austriaci” Investigations on a fragment of Italian Phonology.- Acoustic Analysis and Perception of Classes of Sounds (vowels and consonants).- Speech and Voice Perception: Beyond Pattern Recognition.- Section 2 — Speech Processing.- Analysis in Automatic Recognition of Speech.- Speech Production and Perception Models and their Applications to Synthesis, Recognition, and Coding.- Section 3 — Stochastic Models for Speech.- Statistical Methods for Automatic Speech Recognition.- Statistical Modelling: from Speech Recognition to Text Translation.- Continuous Speech Recognition with Neural Networks: An Application to Railway Timetables Enquires.- Multi-Level Multi-Decision Model for Automatic Speech Recognition and Understanding.- Generative Models for Automatic Speech Recognition, Understanding and Synthesis.- Speech Modelling Virtual Laboratory.- Section 4 — Auditory and Neural Network Models for Speech.- Auditory Modeling and Neural Networks.- Neural Networks for Automatic Speech Recognition: a Review.- Preprocessing and Classification of English Stops Nasals and Fricatives.- Self-Organizing Feature Maps for Arabic Phonemes.- Section 5 — Task-Oriented Applications of Automatic Speech Recognition and Synthesis.- Towards Fully Automatic Speech Processing Techniques for Interactive Voice Servers.- Multi-modal Speech Synthesis with Applications.- Author Index.