Speaker Classification I: Fundamentals, Features, and Methods / Edition 1

Speaker Classification I: Fundamentals, Features, and Methods / Edition 1

by Christian Muller
     
 

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,

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Overview

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.

Product Details

ISBN-13:
9783540741862
Publisher:
Springer Berlin Heidelberg
Publication date:
09/14/2007
Series:
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence Series, #4343
Edition description:
2007
Pages:
355
Product dimensions:
5.94(w) x 8.95(h) x 0.87(d)

Table of Contents

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.

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