Emotion Recognition Using Speech Features

"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.

• | Author: K. Sreenivasa Rao
• | Publisher: Springer
• | Publication Date: Nov 07, 2012
• | Number of Pages: 124 pages
• | Binding: Paperback or Softback
• | ISBN-10: 1461451426
• | ISBN-13: 9781461451426