Speaker Classification I: Fundamentals, Features, and Methods

Front Cover
Christian Müller
Springer Science & Business Media, Aug 14, 2007 - Computers - 355 pages

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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Contents

How Is Individuality Expressed in Voice? An Introduction to Speech Production and Description for Speaker Classification
1
Past Present and Future
21
Speaker Characteristics
47
Foreign Accent
75
Acoustic Analysis of Adult Speaker Age
88
Analysis Modeling and Recognition
108
Speaker Characteristics and Emotion Classification
138
Juristic Implications
152
The Many Roles of Speaker Classification in Speaker Verification and Identification
218
Frame Based Features
226
HigherLevel Features in Speaker Recognition
241
Enhancing Speaker Discrimination at the Feature Level
260
Classification Methods for Speaker Recognition
278
Multistream Fusion for Speaker Classification
298
Evaluations of Automatic Speaker Classification Systems
313
An Introduction to ApplicationIndependent Evaluation of Speaker Recognition Systems
330

Application of Speaker Classification in Human Machine Dialog Systems
174
Speaker Classification in Forensic Phonetics and Acoustics
180
Forensic Automatic Speaker Classification in the Coming Paradigm Shift
205

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