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Speech Production and Speech Modelling

  • William J. Hardcastle
  • Alain Marchal

Part of the NATO ASI Series book series (ASID, volume 55)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Physiological Framework for the Speech Production Process

    1. John J. Ohala
      Pages 23-53
    2. Peter F. MacNeilage, Barbara L. Davis
      Pages 55-68
  3. Coarticulation and Other Connected Speech Processes

  4. Models of Articulatory-Acoustic Relationships

  5. Theories and Models of Articulatory Organization and Timing

  6. Back Matter
    Pages 441-448

About this book

Introduction

Speech sound production is one of the most complex human activities: it is also one of the least well understood. This is perhaps not altogether surprising as many of the complex neurological and physiological processes involved in the generation and execution of a speech utterance remain relatively inaccessible to direct investigation, and must be inferred from careful scrutiny of the output of the system -from details of the movements of the speech organs themselves and the acoustic consequences of such movements. Such investigation of the speech output have received considerable impetus during the last decade from major technological advancements in computer science and biological transducing, making it possible now to obtain large quantities of quantative data on many aspects of speech articulation and acoustics relatively easily. Keeping pace with these advancements in laboratory techniques have been developments in theoretical modelling of the speech production process. There are now a wide variety of different models available, reflecting the different disciplines involved -linguistics, speech science and technology, engineering and acoustics. The time seems ripe to attempt a synthesis of these different models and theories and thus provide a common forum for discussion of the complex problem of speech production. Such an activity would seem particularly timely also for those colleagues in speech technology seeking better, more accurate phonetic models as components in their speech synthesis and automatic speech recognition systems.

Keywords

acoustics cognition complex complex problem computer computer science development linguistics organizations phonology production science speech recognition speech synthesis technology

Editors and affiliations

  • William J. Hardcastle
    • 1
  • Alain Marchal
    • 2
  1. 1.Department of Linguistic ScienceUniversity of ReadingReadingUK
  2. 2.C.N.R.S.Aix-en-ProvenceFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-009-2037-8
  • Copyright Information Springer Science+Business Media B.V. 1990
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-7414-8
  • Online ISBN 978-94-009-2037-8
  • Series Print ISSN 0258-123X
  • Buy this book on publisher's site