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Speech Processing, Recognition and Artificial Neural Networks: Proceedings of the 3rd International School on Neural Nets “Eduardo R. Caianiello”

✍ Scribed by John J. Ohala (auth.), Gerard Chollet PhD, Maria Gabriella Di Benedetto PhD, Anna Esposito PhD, Maria Marinaro PhD (eds.)

Publisher
Springer-Verlag London
Year
1999
Tongue
English
Leaves
351
Edition
1
Category
Library
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✦ Synopsis

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. Topics covered in this book include; Fundamentals of Speech Analysis and Perceptron; Speech Processing; Stochastic Models for Speech; Auditory and Neural Network Models for Speech; Task-Oriented Applications of Automatic Speech Recognition and Synthesis.

✦ Table of Contents

Front Matter....Pages i-xii
Front Matter....Pages 1-1
Articulatory Constraints on Distinctive Features....Pages 3-20
“Herr Müller vivra’ a Taranto con i suoi colleghi austriaci” Investigations on a Fragment of Italian Phonology....Pages 21-53
Acoustic analysis and perception of classes of sounds (vowels and consonants)....Pages 54-84
Speech and Voice Perception: Beyond Pattern Recognition....Pages 85-112
Front Matter....Pages 113-113
Analysis in Automatic Recognition of Speech....Pages 115-137
Speech Production and Perception Models and their Applications to Synthesis, Recognition, and Coding....Pages 138-161
Front Matter....Pages 163-163
Statistical Methods for Automatic Speech Recognition....Pages 165-189
Statistical Modelling: From Speech Recognition to Text Translation....Pages 190-215
Continuous Speech Recognition with Neural Networks: An Application to Railway Timetables Enquires....Pages 216-220
Multi-Level Multi-Decision Model for Automatic Speech Recognition and Understanding....Pages 221-224
Generative Models for Automatic Speech Recognition, Understanding and Synthesis....Pages 225-228
Speech Modelling Virtual Laboratory....Pages 229-232
Front Matter....Pages 233-233
Auditory Modeling and Neural Networks....Pages 235-258
Neural networks for automatic speech recognition: a review....Pages 259-280
Preprocessing and Classification of English Stops Nasals and Fricatives....Pages 281-288
Self-Organizing Feature Maps for Arabic Phonemes....Pages 289-293
Front Matter....Pages 295-295
Towards Fully Automatic Speech Processing Techniques for Interactive Voice Servers....Pages 297-326
Multi-modal Speech Synthesis with Applications....Pages 327-346
Back Matter....Pages 347-347

✦ Subjects

Signal, Image and Speech Processing; Artificial Intelligence (incl. Robotics)

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