Emotion Recognition Using Speech Features K Sreenivasa Rao

ISBN: 9781283908764

Published: December 31st 2012

ebook

134 pages


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Emotion Recognition Using Speech Features  by  K Sreenivasa Rao

Emotion Recognition Using Speech Features by K Sreenivasa Rao
December 31st 2012 | ebook | PDF, EPUB, FB2, DjVu, talking book, mp3, RTF | 134 pages | ISBN: 9781283908764 | 4.73 Mb

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 ofMoreEmotion 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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