Modern Methods of Speech Processing

  • Ravi P. Ramachandran
  • Richard J. Mammone

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Speech Coding

    1. Front Matter
      Pages 1-1
    2. Ravi P. Ramachandran
      Pages 3-22
    3. Peter Kroon, W. Bastiaan Kleijn
      Pages 51-74
    4. Jesper Haagen, W. Bastiaan Kleijn
      Pages 75-99
    5. Vladimir Cuperman, Peter Lupini
      Pages 101-120
  3. Speech Recognition

    1. Front Matter
      Pages 121-121
    2. Jan Robin Rohlicek
      Pages 123-157
    3. Stephen V. Kosonocky
      Pages 159-183
    4. P. S. Gopalakrishnan
      Pages 185-212
    5. Vishwa Gupta, Matthew Lennig
      Pages 213-230
    6. Jont B. Allen
      Pages 251-275
  4. Speaker Recognition

    1. Front Matter
      Pages 277-277
    2. Kevin R. Farrell, Richard J. Mammone
      Pages 279-297
    3. Yu-Hung Kao, Lorin Netsch, P. K. Rajasekaran
      Pages 299-321
  5. Text to Speech Synthesis

    1. Front Matter
      Pages 323-323
    2. Douglas O’Shaughnessy
      Pages 325-347
  6. Applications of Models

    1. Front Matter
      Pages 349-349

About this book

Introduction

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.

Keywords

Modulation Signal algorithms coding communication model network networks neural networks speech processing speech recognition speech synthesis wavelets

Editors and affiliations

  • Ravi P. Ramachandran
    • 1
  • Richard J. Mammone
    • 1
  1. 1.CAIP CenterRutgers UniversityUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-2281-2
  • Copyright Information Kluwer Academic Publishers 1995
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-5962-3
  • Online ISBN 978-1-4615-2281-2
  • Series Print ISSN 0893-3405
  • About this book