Emotion Recognition using Speech Features

Emotion Recognition using Speech Features
Author :
Publisher : Springer Science & Business Media
Total Pages : 134
Release :
ISBN-10 : 9781461451433
ISBN-13 : 1461451434
Rating : 4/5 (33 Downloads)

Book Synopsis Emotion Recognition using Speech Features by : K. Sreenivasa Rao

Download or read book Emotion Recognition using Speech Features written by K. Sreenivasa Rao and published by Springer Science & Business Media. This book was released on 2012-11-07 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: “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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