Skip to main content
SpringerLink
Log in

Robustness in Automatic Speech Recognition

Fundamentals and Applications

  • Book
  • © 1996

Overview

Authors:
  1. Jean-Claude Junqua

    1. Speech Technology Laboratory, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Jean-Paul Haton

    1. CRIN - INRIA, France

    View author publications

    You can also search for this author in PubMed   Google Scholar

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (13 chapters)

  1. Front Matter

    Pages i-xxx
    Download chapter PDF

  2. Speech Communication by Humans and Machines

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Nature and Perception of Speech Sounds

      • Jean-Claude Junqua, Jean-Paul Haton
      Pages 3-35

    3. Background on Speech Analysis

      • Jean-Claude Junqua, Jean-Paul Haton
      Pages 37-71

    4. Fundamentals of Automatic Speech Recognition

      • Jean-Claude Junqua, Jean-Paul Haton
      Pages 73-124

  3. Robustness in ASR: Problems and Issues

    1. Front Matter

      Pages 125-125
      Download chapter PDF

    2. Speaker Variability and Specificity

      • Jean-Claude Junqua, Jean-Paul Haton
      Pages 127-153

    3. Dealing with Noisy Speech and Channel Distortions

      • Jean-Claude Junqua, Jean-Paul Haton
      Pages 155-189

  4. Possible Solutions and Some Perspectives

    1. Front Matter

      Pages 191-191
      Download chapter PDF

    2. The Current Technology and Its Limits: An Overview

      • Jean-Claude Junqua, Jean-Paul Haton
      Pages 193-206

    3. Towards Robust Speech Analysis

      • Jean-Claude Junqua, Jean-Paul Haton
      Pages 207-231

    4. On the Use of a Robust Speech Representation

      • Jean-Claude Junqua, Jean-Paul Haton
      Pages 233-272

    5. ASR of Noisy, Stressed, and Channel Distorted Speech

      • Jean-Claude Junqua, Jean-Paul Haton
      Pages 273-323

    6. Word-Spotting and Rejection

      • Jean-Claude Junqua, Jean-Paul Haton
      Pages 325-345

    7. Spontaneous Speech

      • Jean-Claude Junqua, Jean-Paul Haton
      Pages 347-369

    8. On the use of Knowledge in ASR

      • Jean-Claude Junqua, Jean-Paul Haton
      Pages 371-392

    9. Application Domain, Human Factors, and Dialogue

      • Jean-Claude Junqua, Jean-Paul Haton
      Pages 393-428

  5. Back Matter

    Pages 429-440
    Download chapter PDF
Back to top

Keywords

About this book

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.

Authors and Affiliations

  • Speech Technology Laboratory, USA

    Jean-Claude Junqua

  • CRIN - INRIA, France

    Jean-Paul Haton

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation