Speech Processing, Recognition and Artificial Neural Networks

1. Front Matter

   Pages i-xii

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2. Fundamentals of Speech Analysis and Perceptron

   1. Front Matter

      Pages 1-1

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   2. Articulatory Constraints on Distinctive Features

      • John J. Ohala

      Pages 3-20

   3. “Herr Müller vivra’ a Taranto con i suoi colleghi austriaci” Investigations on a Fragment of Italian Phonology

      • Andrea Calabrese

      Pages 21-53

   4. Acoustic analysis and perception of classes of sounds (vowels and consonants)

      • Maria Gabriella Di Benedetto, Anna Esposito

      Pages 54-84

   5. Speech and Voice Perception: Beyond Pattern Recognition

      • Jean-Sylvain Liénard

      Pages 85-112

3. Speech Processing

   1. Front Matter

      Pages 113-113

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   2. Analysis in Automatic Recognition of Speech

      • Hynek Hermansky

      Pages 115-137

   3. Speech Production and Perception Models and their Applications to Synthesis, Recognition, and Coding

      • A. Alwan, S. Narayanan, B. Strope, A. Shen

      Pages 138-161

4. Stochastic Models for Speech

   1. Front Matter

      Pages 163-163

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   2. Statistical Methods for Automatic Speech Recognition

      • Renato de Mori

      Pages 165-189

   3. Statistical Modelling: From Speech Recognition to Text Translation

      • Hermann Ney

      Pages 190-215

   4. Continuous Speech Recognition with Neural Networks: An Application to Railway Timetables Enquires

      • Dario Albesano, Franco Mana, Roberto Gemello

      Pages 216-220

   5. Multi-Level Multi-Decision Model for Automatic Speech Recognition and Understanding

      • Taras K. Vintsiuk

      Pages 221-224

   6. Generative Models for Automatic Speech Recognition, Understanding and Synthesis

      • Taras K. Vintsiuk

      Pages 225-228

   7. Speech Modelling Virtual Laboratory

      • Mykola Sazhok

      Pages 229-232

5. Auditory and Neural Network Models for Speech

   1. Front Matter

      Pages 233-233

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   2. Auditory Modeling and Neural Networks

      • Piero Cosi

      Pages 235-258

   3. Neural networks for automatic speech recognition: a review

      • Jean-Paul Haton

      Pages 259-280

   4. Preprocessing and Classification of English Stops Nasals and Fricatives

      • A. Esposito, G. Izzo, M. Marinaro

      Pages 281-288

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.

• artificial neural network
• cognition
• decision model
• modeling
• neural networks
• pattern recognition
• perception
• speech processing
• speech recognition
• speech synthesis

• ENST-CNR URA 820, Paris Cedex 13, France

  Gerard Chollet

• INFOCOM Department, Rome University “La Sapienza”, Rome, Italy

  Maria Gabriella Benedetto

• IIASS, Vietri sul Mare (SA), Italy

  Anna Esposito, Maria Marinaro

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