Recent Advances in Speech Understanding and Dialog Systems

  • H. Niemann
  • M. Lang
  • G. Sagerer

Part of the NATO ASI Series book series (volume 46)

Table of contents

  1. Front Matter
    Pages I-X
  2. Speech Coding and Segmentation

    1. Invited Papers

      1. D. Wolf, H. Reininger
        Pages 1-23
      2. Richard M. Schwartz, Y. Chow, M. Dunham, O. Kimball, M. Krasner, F. Kubala et al.
        Pages 25-49
    2. Contributed Papers

      1. E. Nöth, H. Niemann, S. Schmölz
        Pages 101-106
      2. Gérard Chollet, Gunnar Ahlbom, Frédéric Bimbot
        Pages 107-110
      3. O. Al-Dakkak, G. Murillo, G. Bailly, B. Guérin
        Pages 117-122
      4. P. D. Green, M. P. Cooke, H. H. Lafferty, A. J. H. Simons
        Pages 123-128
      5. A. J. Rubio-Ayuso, J. M. Herrera-Garrido
        Pages 159-163
      6. Walter F. Sendlmeier
        Pages 165-169
      7. G. Zanellato
        Pages 177-182
  3. Word Recognition

    1. Invited Papers

      1. Lawrence R. Rabiner
        Pages 183-205

About these proceedings

Introduction

This volume contains invited and contributed papers presented at the NATO Advanced study Insti tute on "Recent Advances in Speech Understanding and Dialog systems" held in Bad Windsheim, Federal Republic of Germany, July 5 to July 18, 1987. It is divided into the three parts Speech coding and Segmentation, Word Recognition, and Linguistic Processing. Although this can only be a rough organization showing some overlap, the editors felt that it most naturally represents the bottom-up strategy of speech understanding and, therefore, should be useful for the reader. Part 1, SPEECH CODING AND SEGMENTATION, contains 4 invited and 14 contributed papers. The first invited paper summarizes basic properties of speech signals, reviews coding schemes, and describes a particular solution which guarantees high speech quality at low data rates. The second and third invited papers are concerned with acoustic-phonetic decoding. Techniques to integrate knowledge­ sources into speech recognition systems are presented and demonstrated by experimental systems. The fourth invited paper gives an overview of approaches for using prosodic knowledge in automatic speech recogni tion systems, and a method for assigning a stress score to every syllable in an utterance of German speech is reported in a contributed paper. A set of contributed papers treats the problem of automatic segmentation, and several authors successfully apply knowledge-based methods for interpreting speech signals and spectrograms. The last three papers investigate phonetic models, Markov models and fuzzy quantization techniques and provide a transi tion to Part 2 .

Keywords

cognition hidden Markov model knowledge knowledge base linguistics search algorithm speech recognition

Editors and affiliations

  • H. Niemann
    • 1
  • M. Lang
    • 2
  • G. Sagerer
    • 1
  1. 1.Universität Erlangen-NürnbergErlangenGermany
  2. 2.ZT ZTI SYS 5Siemens AGMünchen 83Germany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-83476-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 1988
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-83478-3
  • Online ISBN 978-3-642-83476-9
  • About this book