After more than two decades of research activity, speech recognition has begun to live up to its promise as a practical technology and interest in the field is growing dramatically. Readings in Speech Recognition provides a collection of seminal papers that have influenced or redirected the field and that illustrate the central insights that have emerged over the years.

The editors provide an introduction to the field, its concerns and research problems. Subsequent chapters are devoted to the main schools of thought and design philosophies that have motivated different approaches to speech recognition system design. Each chapter includes an introduction to the papers that highlights the major insights or needs that have motivated an approach to a problem and describes the commonalities and differences of that approach to others in the book.

Table of Contents

Readings in Speech Recognition
Edited by Alex Waibel and Kai-Fu Lee
    Chapter 1 Why Study Speech Recognition?
      Dimensions of Difficulty in Speech Recognition
      The Chapters of this Book
      Further Study

    Chapter 2 Problems and Opportunities
      2.1 Speech Recognition by Machine: A Review D. R. Reddy
      2.2 The Value of Speech Recognition Systems W. A. Lea

    Chapter 3 Speech Analysis
      3.1 Digital Representations of Speech Signals R. W. Schafer and L. R. Rabiner
      3.2 Comparison of Parametric Representations for Monosyllabic Word Recognition in Continuously Spoken Sentences S. B. Davis and P. Mermelstein
      3.3 Vector Quantization R. M. Gray
      3.4 A Joint Synchrony/Mean-Rate Model of Auditory Speech Processing S. Seneff

    Chapter 4 Template-Based Approaches
      4.1 Isolated and Connected Word Recognition Theory and Selected Applications L. R. Rabiner and S. E. Levinson
      4.2 Minimum Prediction Residual Principle Applied to Speech Recognition F. Itakura
      4.3 Dynamic Programming Algorithm Optimization for Spoken Word Recognition H. Sakoe and S. Chiba
      4.4 Speaker-Independent Recognition of Isolated Words Using Clustering Techniques L. R. Rabiner, S. E. Levinson, A. E. Rosenberg, and J. G. Wilpon
      4.5 Two-Level DP-Matching\(emA Dynamic Programming-Based Pattern Matching Algorithm


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© 1990
Morgan Kaufmann
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