SpringerBriefs in Speech Technology

Emotion Recognition using Speech Features

Authors: Rao, K. Sreenivasa, Koolagudi, Shashidhar G.

  • Discusses complete state-of -art features, models and databases in the context of emotion recognition
  • Explores implicit and explicit excitation source features for discriminating the emotions
  • Proposes pitch synchronous and sub-syllabic spectral features, in addition to conventional spectral features, for characterizing emotions
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eBook $34.99
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  • ISBN 978-1-4614-5143-3
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  • Immediate eBook download after purchase
Softcover $49.95
price for USA
  • ISBN 978-1-4614-5142-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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About this book

“Emotion Recognition Using Speech Features” provides coverage of emotion-specific features present in speech. The author also discusses suitable models for capturing emotion-specific information for distinguishing different emotions.  The content of this book is important for designing and developing  natural and sophisticated speech systems. In this Brief, Drs. Rao and Koolagudi lead a discussion of how emotion-specific information is embedded in speech and how to acquire emotion-specific knowledge using appropriate statistical models. Additionally, the authors provide information about exploiting multiple evidences derived from various features and models. The acquired emotion-specific knowledge is useful for synthesizing emotions. Features includes discussion of: • Global and local prosodic features at syllable, word and phrase levels, helpful for capturing emotion-discriminative information; • Exploiting complementary evidences obtained from excitation sources, vocal tract systems and prosodic features in order to enhance the emotion recognition performance; • Proposed multi-stage and hybrid models for improving the emotion recognition performance. This brief is for researchers working in areas related to speech-based products such as mobile phone manufacturing companies, automobile companies, and entertainment products as well as researchers involved in basic and applied speech processing research.

About the authors

K. Sreenivasa Rao is at the Indian Institute of Technology, Kharagpur, India.
Shashidhar G, Koolagudi is at the Graphic Era University, Dehradun, India.

Table of contents (6 chapters)

  • Introduction

    Krothapalli, Sreenivasa Rao (et al.)

    Pages 1-14

  • Speech Emotion Recognition: A Review

    Krothapalli, Sreenivasa Rao (et al.)

    Pages 15-34

  • Emotion Recognition Using Excitation Source Information

    Krothapalli, Sreenivasa Rao (et al.)

    Pages 35-66

  • Emotion Recognition Using Vocal Tract Information

    Krothapalli, Sreenivasa Rao (et al.)

    Pages 67-78

  • Emotion Recognition Using Prosodic Information

    Krothapalli, Sreenivasa Rao (et al.)

    Pages 79-91

Buy this book

eBook $34.99
price for USA (gross)
  • ISBN 978-1-4614-5143-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $49.95
price for USA
  • ISBN 978-1-4614-5142-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Emotion Recognition using Speech Features
Authors
Series Title
SpringerBriefs in Speech Technology
Copyright
2013
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4614-5143-3
DOI
10.1007/978-1-4614-5143-3
Softcover ISBN
978-1-4614-5142-6
Series ISSN
2191-737X
Edition Number
1
Number of Pages
XII, 124
Number of Illustrations and Tables
24 b/w illustrations, 6 illustrations in colour
Topics