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Emotion Recognition using Speech Features, Paperback / softback Book

Emotion Recognition using Speech Features Paperback / softback

Part of the SpringerBriefs in Speech Technology series

Paperback / softback

Description

“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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