Speaker Classification I (eBook, PDF)

Fundamentals, Features, and Methods
Redaktion: Müller, Christian

• Format: PDF

Produktbeschreibung

This volume and its companion volume LNAI 4441 constitute a state-of-the-art survey in the field of speaker classification. Together they address such intriguing issues as how speaker characteristics are manifested in voice and speaking behavior. The nineteen contributions in this volume are organized into topical sections covering fundamentals, characteristics, applications, methods, and evaluation.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 358
• Erscheinungstermin: 28. August 2007
• Englisch
• ISBN-13: 9783540742005
• Artikelnr.: 43886253

Autorenporträt

Dr. Christian Müller promovierte an der Fakultät für Kulturwissenschaften der Universität Klagenfurt und ist sowohl im Journalismus als auch in der Öffentlichkeitsarbeit tätig.

Inhaltsangabe

Fundamentals.- How Is Individuality Expressed in Voice? An Introduction to Speech Production and Description for Speaker Classification.- Speaker Classification Concepts: Past, Present and Future.- Characteristics.- Speaker Characteristics.- Foreign Accent.- Acoustic Analysis of Adult Speaker Age.- Speech Under Stress: Analysis, Modeling and Recognition.- Speaker Characteristics and Emotion Classification.- Emotions in Speech: Juristic Implications.- Applications.- Application of Speaker Classification in Human Machine Dialog Systems.- Speaker Classification in Forensic Phonetics and Acoustics.- Forensic Automatic Speaker Classification in the "Coming Paradigm Shift".- The Many Roles of Speaker Classification in Speaker Verification and Identification.- Methods and Features.- Frame Based Features.- Higher-Level Features in Speaker Recognition.- Enhancing Speaker Discrimination at the Feature Level.- Classification Methods for Speaker Recognition.- Multi-stream Fusion for Speaker Classification.- Evaluation.- Evaluations of Automatic Speaker Classification Systems.- An Introduction to Application-Independent Evaluation of Speaker Recognition Systems.