Computer Models of Speech Using Fuzzy Algorithms

  • Renato De Mori

Part of the Advanced Applications in Pattern Recognition book series (AAPR)

Table of contents

  1. Front Matter
    Pages i-xxvi
  2. Renato De Mori
    Pages 1-24
  3. Renato De Mori
    Pages 172-227
  4. Renato De Mori
    Pages 271-328
  5. Renato De Mori
    Pages 400-415
  6. Renato De Mori
    Pages 416-439
  7. Back Matter
    Pages 441-482

About this book


It is with great pleasure that I present this third volume of the series "Advanced Applications in Pattern Recognition." It represents the summary of many man- (and woman-) years of effort in the field of speech recognition by tne author's former team at the University of Turin. It combines the best results in fuzzy-set theory and artificial intelligence to point the way to definitive solutions to the speech-recognition problem. It is my hope that it will become a classic work in this field. I take this opportunity to extend my thanks and appreciation to Sy Marchand, Plenum's Senior Editor responsible for overseeing this series, and to Susan Lee and Jo Winton, who had the monumental task of preparing the camera-ready master sheets for publication. Morton Nadler General Editor vii PREFACE Si parva licet componere magnis Virgil, Georgics, 4,176 (37-30 B.C.) The work reported in this book results from years of research oriented toward the goal of making an experimental model capable of understanding spoken sentences of a natural language. This is, of course, a modest attempt compared to the complexity of the functions performed by the human brain. A method is introduced for conce1v1ng modules performing perceptual tasks and for combining them in a speech understanding system.


algorithms artificial intelligence pattern pattern recognition speech recognition

Authors and affiliations

  • Renato De Mori
    • 1
  1. 1.Concordia UniversityMontrealCanada

Bibliographic information