Emotion Recognition using Speech Features

di K. Sreenivasa Rao (Autore)

Shashidhar G. Koolagudi (Autore)

Springer-Verlag New York Inc., 2012

“Emotion Recognition Using Speech Features” provides coverage of emotion-specific features present in speech. The author also discusses 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. In this Brief, 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 exploiting multiple evidences derived from various features and models. The acquired emotion-specific knowledge is useful for synthesizing emotions. Features includes discussion of: • Global and local prosodic features at syllable, word and phrase levels, helpful for capturing emotion-discriminative information; • Exploiting complementary evidences obtained from excitation sources, vocal tract systems and prosodic features in order to enhance the emotion recognition performance; • Proposed multi-stage and hybrid models for improving the emotion recognition performance. This brief is for researchers working in areas related to speech-based products such as mobile phone manufacturing companies, automobile companies, and entertainment products as well as researchers involved in basic and applied speech processing research.

• Autore: K. Sreenivasa Rao, Shashidhar G. Koolagudi
• Editore: Springer-Verlag New York Inc.
• Collana: SpringerBriefs in Speech Technology
• Anno: 2012
• Rilegatura: Paperback / softback
• Pagine: 124 p.
• Dimensioni: 235 x 155 mm
• EAN: 9781461451426

Testo in English