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...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New York, NY :
Springer New York : Imprint: Springer,
2013.
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Σειρά: | SpringerBriefs in Electrical and Computer Engineering, SpringerBriefs in Speech Technology,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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).