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 sophistica...
Enregistré dans:
| Auteurs principaux: | , |
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| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
New York, NY :
Springer New York
2013.
Cham : Springer Nature |
| Serier: | SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning
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| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Emotion Recognition using Speech Features, Texte imprimé, 9781461451440 • Emotion recognition using speech features, Sreenivasa Rao Krothapalli, Shashidhar G. Koolagudi, New York, Springer, 2013, 1 vol. (xii, 124 p.), SpringerBriefs in electrical and computer engineering, Springerbriefs in speech technology, 978-1-461-45142-6 |
Indholdsfortegnelse:
- 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).