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...
Main Authors: | , |
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Format: | eBook |
Language: | English |
Published: |
New York, NY
Springer New York
2013, 2013
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Edition: | 1st ed. 2013 |
Series: | SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning
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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)