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Acoustic Modeling for Emotion Recognition

  • Book
  • © 2015

Overview

Authors:
  1. Koteswara Rao Anne

    1. Dept of Computer Science and Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, Vijayawada, India

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  2. Swarna Kuchibhotla

    1. RamaKrishna Puram, Vijayawada, India

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  3. Hima Deepthi Vankayalapati

    1. Dept of Computer Science and Engineering, Velagapudi Ramakrishna Siddhartha Velagapudi Ramakrishna Siddhartha, Vijayawada, India

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  • Provides comprehensive research and application on classification of emotions through speech
  • Features extensive comparative study of classifiers, presenting results in different databases
  • Compares feature fusion techniques with emotions of individual features
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Speech Technology (BRIEFSSPEECHTECH)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-vii
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  2. Introduction

    • Koteswara Rao Anne, Swarna Kuchibhotla, Hima Deepthi Vankayalapati
    Pages 1-6

  3. Emotion Recognition Using Prosodic Features

    • Koteswara Rao Anne, Swarna Kuchibhotla, Hima Deepthi Vankayalapati
    Pages 7-15

  4. Emotion Recognition Using Spectral Features

    • Koteswara Rao Anne, Swarna Kuchibhotla, Hima Deepthi Vankayalapati
    Pages 17-26

  5. Feature Fusion Techniques

    • Koteswara Rao Anne, Swarna Kuchibhotla, Hima Deepthi Vankayalapati
    Pages 27-32

  6. Emotional Speech Corpora

    • Koteswara Rao Anne, Swarna Kuchibhotla, Hima Deepthi Vankayalapati
    Pages 33-35

  7. Classification Models

    • Koteswara Rao Anne, Swarna Kuchibhotla, Hima Deepthi Vankayalapati
    Pages 37-54

  8. Comparative Analysis of Classifiers in Emotion Recognition

    • Koteswara Rao Anne, Swarna Kuchibhotla, Hima Deepthi Vankayalapati
    Pages 55-60

  9. Summary and Conclusions

    • Koteswara Rao Anne, Swarna Kuchibhotla, Hima Deepthi Vankayalapati
    Pages 61-62

  10. Back Matter

    Pages 63-66
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Keywords

About this book

This book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications – gradually more advance information is provided, giving readers comprehensive guidance for classify emotions through speech. Simulated databases are used and results extensively compared, with the features and the algorithms implemented using MATLAB. Various emotion recognition models like Linear Discriminant Analysis (LDA), Regularized Discriminant Analysis (RDA), Support Vector Machines (SVM) and K-Nearest neighbor (KNN) and are explored in detail using prosody and spectral features, and feature fusion techniques.

Reviews

“The aim of this book is to bring out various features through speech processing, and use them in an acoustic model to recognize the emotion conveyed by the person. … the monogram looks concise and interesting and should be of interest to postgraduates and researchers in speech processing.” (Soubhik Chakraborty, Computing Reviews, April, 2016)

Authors and Affiliations

  • Dept of Computer Science and Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, Vijayawada, India

    Koteswara Rao Anne

  • RamaKrishna Puram, Vijayawada, India

    Swarna Kuchibhotla

  • Dept of Computer Science and Engineering, Velagapudi Ramakrishna Siddhartha Velagapudi Ramakrishna Siddhartha, Vijayawada, India

    Hima Deepthi Vankayalapati

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