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Emotion Recognition using Speech Features
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“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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Subject categories
- Academic > Health Sciences > Physiology > Neurophysiology and neuropsychology
- Academic > Engineering > Electrical engineering. Electronics. Nuclear engineering > Electronics
- Computers > Data Processing > Speech & Audio Processing
- Language Arts & Disciplines > Linguistics
- Computers > User Interfaces
- Technology > Optics
ISBNs
1461451434
9781461451426
9781461451433