Emotion Recognition using Speech Features / SpringerBriefs in Speech Technology (PDF)
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"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 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.
Shashidhar G, Koolagudi is at the Graphic Era University, Dehradun, India.
- Autoren: K. Sreenivasa Rao , Shashidhar G. Koolagudi
- 2012, 2013, 124 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 1461451434
- ISBN-13: 9781461451433
- Erscheinungsdatum: 07.11.2012
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 2.33 MB
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