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