Robust Emotion Recognition using Spectral and Prosodic 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. K. Sreenivasa Rao, Shashidhar G. Koolagudi
    Pages 1-15
  3. K. Sreenivasa Rao, Shashidhar G. Koolagudi
    Pages 17-46
  4. K. Sreenivasa Rao, Shashidhar G. Koolagudi
    Pages 47-69
  5. K. Sreenivasa Rao, Shashidhar G. Koolagudi
    Pages 85-94
  6. K. Sreenivasa Rao, Shashidhar G. Koolagudi
    Pages 95-100
  7. K. Sreenivasa Rao, Shashidhar G. Koolagudi
    Pages 101-107
  8. Back Matter
    Pages 109-118

About this book

Introduction

In this brief, the authors discuss recently explored spectral (sub-segmental and pitch synchronous) and prosodic (global and local features at word and syllable levels in different parts of the utterance) features for discerning emotions in a robust manner.

The authors also delve into the complementary evidences obtained from excitation source, vocal tract system and prosodic features for the purpose of enhancing emotion recognition performance. Features based on speaking rate characteristics are explored with the help of multi-stage and hybrid models for further improving emotion recognition performance. Proposed spectral and prosodic features are evaluated on real life emotional speech corpus.

Keywords

Speaking Rate Sub-syllabic Spectral Features Syllable-level Prosidic Features communication pitch pitch synchronous prosodic spectral speech emotion recognition speech signal

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/10.1007/978-1-4614-6360-3
  • Copyright Information The Author(s) 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Engineering
  • Print ISBN 978-1-4614-6359-7
  • Online ISBN 978-1-4614-6360-3
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • About this book
Industry Sectors
Automotive
Chemical Manufacturing
Electronics
IT & Software
Telecommunications
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering