Emotion Recognition using Speech Features

  • K. Sreenivasa Rao
  • Shashidhar G. Koolagudi

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Also part of the SpringerBriefs in Speech Technology book sub series (BRIEFSSPEECHTECH)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Sreenivasa Rao Krothapalli, Shashidhar G. Koolagudi
    Pages 1-14
  3. Sreenivasa Rao Krothapalli, Shashidhar G. Koolagudi
    Pages 15-34
  4. Sreenivasa Rao Krothapalli, Shashidhar G. Koolagudi
    Pages 35-66
  5. Sreenivasa Rao Krothapalli, Shashidhar G. Koolagudi
    Pages 67-78
  6. Sreenivasa Rao Krothapalli, Shashidhar G. Koolagudi
    Pages 79-91
  7. Sreenivasa Rao Krothapalli, Shashidhar G. Koolagudi
    Pages 93-98
  8. Back Matter
    Pages 99-124

About this book

Introduction

“Emotion Recognition Using Speech Features” covers emotion-specific features present in speech and discussion of 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.

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 using evidence derived from various features and models. The acquired emotion-specific knowledge is useful for synthesizing emotions.

Discussion includes global and local prosodic features at syllable, word and phrase levels, helpful for capturing emotion-discriminative information; use of complementary evidences obtained from excitation sources, vocal tract systems and prosodic features in order to enhance the emotion recognition performance;  and proposed multi-stage and hybrid models for improving the emotion recognition performance.

Keywords

Emotion Recognition Emotion-discriminative Information Emotion-specific Information Excitation Source Features Excitation Source Information Global/Local Prosodic Features Speech Processing Emotions Vocal Tract Information

Authors and affiliations

  • K. Sreenivasa Rao
    • 1
  • Shashidhar G. Koolagudi
    • 2
  1. 1., School of Information TechnologyIndian Institute of TechnologyKharagpurIndia
  2. 2., School of Information TechnologyIndian Institute of TechnologyKharagpurIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-5143-3
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Engineering
  • Print ISBN 978-1-4614-5142-6
  • Online ISBN 978-1-4614-5143-3
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • About this book