Robust Emotion Recognition using Spectral and Prosodic Features

Robust Emotion Recognition using Spectral and Prosodic Features by K. Sreenivasa Rao, Shashidhar G. Koolagudi.

In this brief, the authors discuss recently explored spectral (sub-segmental and pitch synchronous) and prosodic (global and local features at word and syllable levels in different parts of the utterance) features for discerning emotions in a robust manner. The authors also delve into the complement...

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Bibliographic Details
Main Authors: Rao, K. Sreenivasa (Author), Koolagudi, Shashidhar G. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
Springer eBook Collection.
Subjects:
Signal processing.
Image processing.
Speech processing systems.
User interfaces (Computer systems).
Natural language processing (Computer science).
Computational linguistics.
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