Speaker Classification I : Fundamentals, Features, and Methods / edited by Christian Müller.

Format:

Book

Contributor:

Müller, Christian, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 4343.

Lecture Notes in Artificial Intelligence ; 4343

Language:

English

Subjects (All):

Computer hardware.

Artificial intelligence.

Natural language processing (Computer science).

User interfaces (Computer systems).

Pattern perception.

Optical data processing.

Computer Hardware.

Artificial Intelligence.

Natural Language Processing (NLP).

User Interfaces and Human Computer Interaction.

Pattern Recognition.

Image Processing and Computer Vision.

Local Subjects:

Computer Hardware.

Artificial Intelligence.

Natural Language Processing (NLP).

User Interfaces and Human Computer Interaction.

Pattern Recognition.

Image Processing and Computer Vision.

Physical Description:

1 online resource (X, 355 pages).

Edition:

First edition 2007.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.

System Details:

text file PDF

Summary:

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.

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.

Other Format:

Printed edition:

ISBN:

978-3-540-74200-5

9783540742005

Access Restriction:

Restricted for use by site license.