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Modern Methods of Speech Processing

  • Book
  • © 1995

Overview

Editors:
  1. Ravi P. Ramachandran

    1. CAIP Center, Rutgers University, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Richard J. Mammone

    1. CAIP Center, Rutgers University, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 327)

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xvii
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  2. Speech Coding

    1. Front Matter

      Pages 1-1
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    2. The Use of Pitch Prediction in Speech Coding

      • Ravi P. Ramachandran
      Pages 3-22

    3. Vector Quantization of Linear Predictor Coefficients

      • John S. Collura
      Pages 23-50

    4. Linear Predictive Analysis by Synthesis Coding

      • Peter Kroon, W. Bastiaan Kleijn
      Pages 51-74

    5. Waveform Interpolation

      • Jesper Haagen, W. Bastiaan Kleijn
      Pages 75-99

    6. Variable Rate Speech Coding

      • Vladimir Cuperman, Peter Lupini
      Pages 101-120

  3. Speech Recognition

    1. Front Matter

      Pages 121-121
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    2. Word Spotting

      • Jan Robin Rohlicek
      Pages 123-157

    3. Speech Recognition Using Neural Networks

      • Stephen V. Kosonocky
      Pages 159-183

    4. Current Methods in Continuous Speech Recognition

      • P. S. Gopalakrishnan
      Pages 185-212

    5. Large Vocabulary Isolated Word Recognition

      • Vishwa Gupta, Matthew Lennig
      Pages 213-230

    6. Recent Developments in Robust Speech Recognition

      • B. H. Juang
      Pages 231-249

    7. How do Humans Process and Recognize Speech?

      • Jont B. Allen
      Pages 251-275

  4. Speaker Recognition

    1. Front Matter

      Pages 277-277
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    2. Data fusion Techniques for Speaker Recognition

      • Kevin R. Farrell, Richard J. Mammone
      Pages 279-297

    3. Speaker Recognition Over Telephone Channels

      • Yu-Hung Kao, Lorin Netsch, P. K. Rajasekaran
      Pages 299-321

  5. Text to Speech Synthesis

    1. Front Matter

      Pages 323-323
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    2. Approaches to Improve Automatic Speech Synthesis

      • Douglas O’Shaughnessy
      Pages 325-347

  6. Applications of Models

    1. Front Matter

      Pages 349-349
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Keywords

About this book

The term speech processing refers to the scientific discipline concerned with the analysis and processing of speech signals for getting the best benefit in various practical scenarios. These different practical scenarios correspond to a large variety of applications of speech processing research. Examples of some applications include enhancement, coding, synthesis, recognition and speaker recognition. A very rapid growth, particularly during the past ten years, has resulted due to the efforts of many leading scientists. The ideal aim is to develop algorithms for a certain task that maximize performance, are computationally feasible and are robust to a wide class of conditions. The purpose of this book is to provide a cohesive collection of articles that describe recent advances in various branches of speech processing. The main focus is in describing specific research directions through a detailed analysis and review of both the theoretical and practical settings. The intended audience includes graduate students who are embarking on speech research as well as the experienced researcher already working in the field. For graduate students taking a course, this book serves as a supplement to the course material. As the student focuses on a particular topic, the corresponding set of articles in this book will serve as an initiation through exposure to research issues and by providing an extensive reference list to commence a literature survey. Expe­ rienced researchers can utilize this book as a reference guide and can expand their horizons in this rather broad area.

Editors and Affiliations

  • CAIP Center, Rutgers University, USA

    Ravi P. Ramachandran, Richard J. Mammone

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