Speaker Classification II Selected Projects
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:
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Subseries of Lecture Notes in Computer Science
4441
Christian Müller (Ed.)
Speaker Classification II Selected Projects
13
Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editor Christian Müller International Computer Science Institute 1947 Center Street, Berkeley, CA 94704, USA E-mail: [email protected]
Library of Congress Control Number: 2007932403
CR Subject Classification (1998): I.2.7, I.2.6, H.5.2, H.5, I.4-5 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-540-74121-6 Springer Berlin Heidelberg New York 978-3-540-74121-3 Springer Berlin Heidelberg New York
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Preface
“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.” The best way to introduce this textbook is by using the words Volker Dellwo and his colleagues had chosen to begin their chapter “How Is Individuality Expressed in Voice?” While they use this statement to motivate the introductory chapter on speech production and the phonetic description of speech, it constitutes a framework of the entire book as well: 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? Within the scope of this book the term speaker classification is defined as assigning a given speech sample to a particular class of speakers. These classes could be Women vs. Men, Children vs. Adults, Natives vs. Foreigners, etc. Speaker recognition is considered as being a sub-field of speaker classification in which the respective class has only one member (Speaker vs. Non-Speaker). Since in the engineering communit
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