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Speaker Classification I

Fundamentals, Features, and Methods

  • Book
  • © 2007

Overview

Editors:
  1. Christian Müller
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4343)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Table of contents (19 chapters)

  1. Front Matter

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  3. Characteristics

    1. Speaker Characteristics

      • Tanja Schultz
      Pages 47-74

    2. Foreign Accent

      • Ulrike Gut
      Pages 75-87

    3. Acoustic Analysis of Adult Speaker Age

      • Susanne Schötz
      Pages 88-107

    4. Speech Under Stress: Analysis, Modeling and Recognition

      • John H. L. Hansen, Sanjay Patil
      Pages 108-137

    5. Speaker Characteristics and Emotion Classification

      • Anton Batliner, Richard Huber
      Pages 138-151

    6. Emotions in Speech: Juristic Implications

      • Erik J. Eriksson, Robert D. Rodman, Robert C. Hubal
      Pages 152-173

  4. Applications

    1. Application of Speaker Classification in Human Machine Dialog Systems

      • Felix Burkhardt, Richard Huber, Anton Batliner
      Pages 174-179

    2. Speaker Classification in Forensic Phonetics and Acoustics

      • Michael Jessen
      Pages 180-204

    3. Forensic Automatic Speaker Classification in the “Coming Paradigm Shift”

      • Joaquin Gonzalez-Rodriguez, Daniel Ramos
      Pages 205-217

    4. The Many Roles of Speaker Classification in Speaker Verification and Identification

      • Judith Markowitz
      Pages 218-225

  5. Methods and Features

    1. Frame Based Features

      • Stefan Schacht, Jacques Koreman, Christoph Lauer, Andrew Morris, Dalei Wu, Dietrich Klakow
      Pages 226-240

    2. Higher-Level Features in Speaker Recognition

      • Elizabeth Shriberg
      Pages 241-259

    3. Enhancing Speaker Discrimination at the Feature Level

      • Jacques Koreman, Dalei Wu, Andrew C. Morris
      Pages 260-277

    4. Classification Methods for Speaker Recognition

      • D. E. Sturim, W. M. Campbell, D. A. Reynolds
      Pages 278-297

    5. Multi-stream Fusion for Speaker Classification

      • Izhak Shafran
      Pages 298-312

  6. Evaluation

    1. Evaluations of Automatic Speaker Classification Systems

      • Alvin F. Martin
      Pages 313-329

    2. An Introduction to Application-Independent Evaluation of Speaker Recognition Systems

      • David A. van Leeuwen, Niko Brümmer
      Pages 330-353
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Keywords

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 volume and its companion volume, LNAI 4441, constitute a state-of-the-art survey for the field of speaker classification. They approach 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 19 contributions to this volume comprise general and overview-like articles that are organized in topical sections on fundamentals, characteristics, applications, methods and features, as well as evaluation.

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