Emotion Recognition Using Speech Features

by Shashidhar G. Koolagudi, K. Sreenivasa Rao, Shashidhar G Koolagudi

"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.

• Format: Paperback
• Language: English
• ISBN: 1461451426
• ISBN13: 9781461451426
• Release Date: November 2012
• Publisher: Springer
• Length: 124 Pages
• Weight: 0.45 lbs.
• Dimensions: 0.4" x 6.1" x 9.0"