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- Kurzbeschreibung&8220;Emotion Recognition Using Speech Features&8221; 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. <br>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:<br>&8226; Global and local prosodic features at syllable, word and phrase levels, helpful for capturing emotion-discriminative information; <br>&8226; Exploiting complementary evidences obtained from excitation sources, vocal tract systems and prosodic features in order to enhance the emotion recognition performance; <br>&8226; Proposed multi-stage and hybrid models for improving the emotion recognition performance. <br>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.
- AutorK. Sreenivasa Rao,Shashidhar G. Koolagudi
- Seiten124 Seiten
- Gewicht217 g
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