© 2007

Speaker Classification II

Selected Projects

  • Editors
  • Christian Müller

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4441)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 4441)

Table of contents

  1. Front Matter
  2. Susanne Schötz, Christian Müller
    Pages 1-9
  3. Kajsa Amilon, Joost van de Weijer, Susanne Schötz
    Pages 10-21
  4. Laurence Devillers, Laurence Vidrascu
    Pages 34-42
  5. Erik J. Eriksson, Felix Schaeffler, Kirk P. H. Sullivan
    Pages 57-69
  6. Kanae Amino, Takayuki Arai, Tsutomu Sugawara
    Pages 83-92
  7. Charl Johannes van Heerden, Etienne Barnard
    Pages 93-103
  8. Gea de Jong, Kirsty McDougall, Francis Nolan
    Pages 130-141
  9. Guillermo Garcia, Sung-Kyo Jung, Thomas Eriksson
    Pages 142-156
  10. Michael Neffe, Tuan Van Pham, Horst Hering, Gernot Kubin
    Pages 177-191
  11. Masahiko Komatsu
    Pages 206-228
  12. Emmanuel Ferragne, François Pellegrino
    Pages 243-257

About this book


As well as conveying a message in words and sounds, the speech signal carries information about the speaker's own anatomy, physiology, linguistic experience and mental state. These speaker characteristics are found in speech at all levels of description: from the spectral information in the sounds to the choice of words and utterances themselves.

This two volume set, LNAI 4343 and LNAI 4441, constitutes a state-of-the-art survey for the field of speaker classification. It approaches the following questions: What characteristics of the speaker become manifest in his or her voice and speaking behavior? Which of them can be inferred from analyzing the acoustic realizations? What can this information be used for? Which methods are the most suitable for diversified problems in this area of research? How should the quality of the results be evaluated?

The 22 articles of the second volume comprise a number of selected self-contained papers on research projects in the field of speaker classification. These include among other things a report on a gender recognition system; a study on emotion recognition; a presentation of a text-dependent speaker verification system; an account of the analysis of both speaker and verbal content information - as well as studies on accent identification.


acoustic correlates acoustiic analysis affective computing authtication biometrics classification dialect recognition emotion detection estimation face recognition formant frequencies gender identity higher-order statistics information verification

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