Robustness in Automatic Speech Recognition

Fundamentals and Applications

  • Jean-Claude Junqua
  • Jean-Paul Haton

Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 341)

Table of contents

  1. Front Matter
    Pages i-xxx
  2. Speech Communication by Humans and Machines

    1. Front Matter
      Pages 1-1
    2. Jean-Claude Junqua, Jean-Paul Haton
      Pages 3-35
    3. Jean-Claude Junqua, Jean-Paul Haton
      Pages 37-71
    4. Jean-Claude Junqua, Jean-Paul Haton
      Pages 73-124
  3. Robustness in ASR: Problems and Issues

    1. Front Matter
      Pages 125-125
    2. Jean-Claude Junqua, Jean-Paul Haton
      Pages 127-153
    3. Jean-Claude Junqua, Jean-Paul Haton
      Pages 155-189
  4. Possible Solutions and Some Perspectives

    1. Front Matter
      Pages 191-191
    2. Jean-Claude Junqua, Jean-Paul Haton
      Pages 193-206
    3. Jean-Claude Junqua, Jean-Paul Haton
      Pages 207-231
    4. Jean-Claude Junqua, Jean-Paul Haton
      Pages 233-272
    5. Jean-Claude Junqua, Jean-Paul Haton
      Pages 273-323
    6. Jean-Claude Junqua, Jean-Paul Haton
      Pages 325-345
    7. Jean-Claude Junqua, Jean-Paul Haton
      Pages 347-369
    8. Jean-Claude Junqua, Jean-Paul Haton
      Pages 371-392
    9. Jean-Claude Junqua, Jean-Paul Haton
      Pages 393-428
  5. Back Matter
    Pages 429-440

About this book

Introduction

Foreword Looking back the past 30 years. we have seen steady progress made in the area of speech science and technology. I still remember the excitement in the late seventies when Texas Instruments came up with a toy named "Speak-and-Spell" which was based on a VLSI chip containing the state-of-the-art linear prediction synthesizer. This caused a speech technology fever among the electronics industry. Particularly. applications of automatic speech recognition were rigorously attempt­ ed by many companies. some of which were start-ups founded just for this purpose. Unfortunately. it did not take long before they realized that automatic speech rec­ ognition technology was not mature enough to satisfy the need of customers. The fever gradually faded away. In the meantime. constant efforts have been made by many researchers and engi­ neers to improve the automatic speech recognition technology. Hardware capabilities have advanced impressively since that time. In the past few years. we have been witnessing and experiencing the advent of the "Information Revolution." What might be called the second surge of interest to com­ mercialize speech technology as a natural interface for man-machine communication began in much better shape than the first one. With computers much more powerful and faster. many applications look realistic this time. However. there are still tremendous practical issues to be overcome in order for speech to be truly the most natural interface between humans and machines.

Keywords

communication human factors production speech processing speech recognition

Authors and affiliations

  • Jean-Claude Junqua
    • 1
  • Jean-Paul Haton
    • 2
  1. 1.Speech Technology LaboratoryUSA
  2. 2.CRIN - INRIAFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4613-1297-0
  • Copyright Information Springer-Verlag US 1996
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-8555-7
  • Online ISBN 978-1-4613-1297-0
  • Series Print ISSN 0893-3405
  • About this book