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Recent Advances in Speech Understanding and Dialog Systems

  • Conference proceedings
  • © 1988

Overview

Editors:
  1. H. Niemann

    1. Universität Erlangen-Nürnberg, Erlangen, Germany

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  2. M. Lang

    1. ZT ZTI SYS 5, Siemens AG, München 83, Germany

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  3. G. Sagerer

    1. Universität Erlangen-Nürnberg, Erlangen, Germany

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Part of the book series: NATO ASI Subseries F: (NATO ASI F, volume 46)

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Table of contents (47 papers)

  1. Front Matter

    Pages I-X
    Download chapter PDF

  2. Speech Coding and Segmentation

    1. Invited Papers

      1. Recent Advances in Speech Coding
        • D. Wolf, H. Reininger
        Pages 1-23
      2. Acoustic-Phonetic Decoding of Speech
        • Richard M. Schwartz, Y. Chow, M. Dunham, O. Kimball, M. Krasner, F. Kubala et al.
        Pages 25-49
      3. Knowledge-Based Approaches in Acoustic-Phonetic Decoding of Speech
        • Jean-Paul Haton
        Pages 51-69
      4. The Use of Prosodic Parameters in Automatic Speech Recognition
        • J. Vaissière
        Pages 71-99

    2. Contributed Papers

      1. Prosodic Features in German Speech: Stress Assignment by Man and Machine
        • E. Nöth, H. Niemann, S. Schmölz
        Pages 101-106
      2. Recognition of Speech using Temporal Decomposition
        • Gérard Chollet, Gunnar Ahlbom, Frédéric Bimbot
        Pages 107-110
      3. Long Term Analysis-Synthesis of Speech by Non-Stationary AR Methods
        • Susanna Ragazzini
        Pages 111-115
      4. Using Contextual Information in View of Formant Speech Analysis Improvement
        • O. Al-Dakkak, G. Murillo, G. Bailly, B. Guérin
        Pages 117-122
      5. A Speech Recognition Strategy Based on Making Acoustic Evidence and Phonetic Knowledge Explicit
        • P. D. Green, M. P. Cooke, H. H. Lafferty, A. J. H. Simons
        Pages 123-128
      6. On Finding Objects in Spectrograms: A Multiscale Relaxation Labelling Approach
        • M. P. Cooke, P. D. Green
        Pages 129-133
      7. Phonetic Segmentation Using Psychoacoustic Speech Parameters
        • J.-P. Martens
        Pages 135-139
      8. Morphological Representation of Speech Knowledge for Automatic Speech Recognition Systems
        • Mathew J. Palakal
        Pages 141-146
      9. Speaker-Independent Automatic Recognition of Plosive Sound in Letters and Digits
        • Régis Cardin
        Pages 147-151
      10. A Real-Time Auditory Model: Description and Applications in an ASR Acoustic-Phonetic Front End
        • Frank Gooding, Ian Shaw, Husein Mahdi
        Pages 153-157
      11. A New Phonematic Approach to Speech Recognition
        • A. J. Rubio-Ayuso, J. M. Herrera-Garrido
        Pages 159-163
      12. Primary Perceptual Units in Word Recognition
        • Walter F. Sendlmeier
        Pages 165-169
      13. Context-Dependent Phone Markov Models for Speech Recognition
        • Anne-Marie Derouault
        Pages 171-175
      14. Speech Recognition Based on Speech Units
        • G. Zanellato
        Pages 177-182

  3. Word Recognition

    1. Invited Papers

      1. Mathematical Foundations of Hidden Markov Models
        • Lawrence R. Rabiner
        Pages 183-205
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Keywords

About this book

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 .

Editors and Affiliations

  • Universität Erlangen-Nürnberg, Erlangen, Germany

    H. Niemann, G. Sagerer

  • ZT ZTI SYS 5, Siemens AG, München 83, Germany

    M. Lang

Bibliographic Information

  • Book Title: Recent Advances in Speech Understanding and Dialog Systems

  • Editors: H. Niemann, M. Lang, G. Sagerer

  • Series Title: NATO ASI Subseries F:

  • DOI: https://doi.org/10.1007/978-3-642-83476-9

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1988

  • Softcover ISBN: 978-3-642-83478-3Published: 24 February 2012

  • eBook ISBN: 978-3-642-83476-9Published: 06 December 2012

  • Series ISSN: 0258-1248

  • Edition Number: 1

  • Number of Pages: X, 521

  • Topics: Artificial Intelligence, Special Purpose and Application-Based Systems

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