| Summary: | 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.
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