Ebook: Computer Models of Speech Using Fuzzy Algorithms

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.

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Content:
Front Matter....Pages i-xxvi
Computer Models for Speech Understanding....Pages 1-24
Generation and Recognition of Acoustic Patterns....Pages 25-66
On the Use of Syntactic Pattern Recognition and Fuzzy Set Theory....Pages 67-121
Design Principles for Controlling the Use of Structural Rules for Segmentation....Pages 122-171
Rules for Characterizing Sonorant Sounds....Pages 172-227
Rules for Characterizing the Nonsonorant Sounds....Pages 228-270
The Lexical Knowledge Source....Pages 271-328
On the Structure and Use of Task-Dependent Knowledge....Pages 329-399
Automatic Learning of Fuzzy Relations....Pages 400-415
Towards a Parallel System....Pages 416-439
Back Matter....Pages 441-482

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Content:
Front Matter....Pages i-xxvi
Computer Models for Speech Understanding....Pages 1-24
Generation and Recognition of Acoustic Patterns....Pages 25-66
On the Use of Syntactic Pattern Recognition and Fuzzy Set Theory....Pages 67-121
Design Principles for Controlling the Use of Structural Rules for Segmentation....Pages 122-171
Rules for Characterizing Sonorant Sounds....Pages 172-227
Rules for Characterizing the Nonsonorant Sounds....Pages 228-270
The Lexical Knowledge Source....Pages 271-328
On the Structure and Use of Task-Dependent Knowledge....Pages 329-399
Automatic Learning of Fuzzy Relations....Pages 400-415
Towards a Parallel System....Pages 416-439
Back Matter....Pages 441-482
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