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emotion recognition using speech features (in English)
K. Sreenivasa Rao
(Author)
·
Shashidhar G. Koolagudi
(Author)
·
Springer
· Paperback
emotion recognition using speech features (in English) - Rao, K. Sreenivasa ; Koolagudi, Shashidhar G.
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Synopsis "emotion recognition using speech features (in English)"
"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.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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