SpringerBriefs in Speech Technology

Robust Emotion Recognition using Spectral and Prosodic Features

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

  • Deals with emotions in terms of how to characterize the emotions, how to acquire the emotion-specific information from speech conversations and finally how to incorporate the acquired emotion-specific information to synthesize the desired emotions
  • Proposes pitch synchronous and sub-syllabic spectral features for characterizing emotions
  • Explores global and local prosodic features at syllable, word and phrase levels to capture the emotion-discriminative information
  • Demonstrates real life emotions using hierarchical models based on speaking rate
see more benefits

Buy this book

eBook $54.99
price for USA (gross)
  • ISBN 978-1-4614-6360-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.95
price for USA
  • ISBN 978-1-4614-6359-7
  • 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
About this book

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.

About the authors

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

Table of contents (7 chapters)

  • Introduction

    Sreenivasa Rao, K. (et al.)

    Pages 1-15

  • Robust Emotion Recognition using Pitch Synchronous and Sub-syllabic Spectral Features

    Rao, K. Sreenivasa (et al.)

    Pages 17-46

  • Robust Emotion Recognition using Sentence, Word and Syllable Level Prosodic Features

    Rao, K. Sreenivasa (et al.)

    Pages 47-69

  • Robust Emotion Recognition using Combination of Excitation Source, Spectral and Prosodic Features

    Rao, K. Sreenivasa (et al.)

    Pages 71-84

  • Robust Emotion Recognition using Speaking Rate Features

    Rao, K. Sreenivasa (et al.)

    Pages 85-94

Buy this book

eBook $54.99
price for USA (gross)
  • ISBN 978-1-4614-6360-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.95
price for USA
  • ISBN 978-1-4614-6359-7
  • 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
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Robust Emotion Recognition using Spectral and Prosodic Features
Authors
Series Title
SpringerBriefs in Speech Technology
Copyright
2013
Publisher
Springer-Verlag New York
Copyright Holder
The Author(s)
eBook ISBN
978-1-4614-6360-3
DOI
10.1007/978-1-4614-6360-3
Softcover ISBN
978-1-4614-6359-7
Series ISSN
2191-737X
Edition Number
1
Number of Pages
XII, 118
Number of Illustrations and Tables
22 b/w illustrations, 15 illustrations in colour
Topics