Emotion Recognition using Speech Features
zEmotion Recognition Using Speech Featuresy 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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| Formato: | Libro electrónico |
| Idioma: | Inglés |
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New York, NY :
Springer New York
2013.
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| Colección: | SpringerBriefs in Electrical and Computer Engineering.
Springer eBooks. |
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b33020619*spi |
| Sumario: | zEmotion Recognition Using Speech Featuresy 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 sophisticated speech systems. Drs. Rao and Koolagudi lead a discussion of how emotion-specific information is embedded in speech and how to acquire emotion-specific knowledge using appropriate statistical models. Additionally, the authors provide information about using evidence derived from various features and models. The acquired emotion-specific knowledge is useful for synthesizing emotions. Discussion includes global and local prosodic features at syllable, word and phrase levels, helpful for capturing emotion-discriminative information; use of complementary evidences obtained from excitation sources, vocal tract systems and prosodic features in order to enhance the emotion recognition performance; and proposed multi-stage and hybrid models for improving the emotion recognition performance. |
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| Descripción Física: | XII, 124 p., 30 il., 6 il. col |
| Formato: | Forma de acceso: World Wide Web. |
| ISBN: | 9781461451433 |
