Emotion Recognition using Speech Features

“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 sophisti...

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Bibliographic Details
Main Authors: Rao, K. Sreenivasa, Koolagudi, Shashidhar G. (Author)
Format: eBook
Language:English
Published: New York, NY Springer New York 2013, 2013
Edition:1st ed. 2013
Series:SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Introduction
  • Speech Emotion Recognition: A Review
  • Emotion Recognition Using Excitation Source Information
  • Emotion Recognition Using Vocal Tract Information
  • Emotion Recognition Using Prosodic Information
  • Summary and Conclusions
  • Linear Prediction Analysis of Speech
  • MFCC Features
  • Gaussian Mixture Model (GMM)