Emotion Recognition using Speech Features

• Main Authors: Rao, K. Sreenivasa. (Author), Koolagudi, Shashidhar G. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Series: SpringerBriefs in Electrical and Computer Engineering, SpringerBriefs in Speech Technology,
• Subjects: Engineering.; Computer science.; Computational linguistics.; Signal, Image and Speech Processing.; User Interfaces and Human Computer Interaction.; Computational Linguistics.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-5143-3

  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.