Speech Processing, Recognition and Artificial Neural Networks

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.