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© 2013

Robust Emotion Recognition using Spectral and Prosodic Features

Book

Part of the SpringerBriefs in Electrical and Computer Engineering book series

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

  1. 1., School of Information TechnologyIndian Institute of TechnologyKharagpurIndia
  2. 2., School of Information TechnologyIndian Institute of TechnologyKharagpurIndia

About the authors

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

Bibliographic information

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