Robust Emotion Recognition using Spectral and Prosodic Features

Description

<p>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.</p><p>The authors also delve into the complementary evidences obtained from excitation source, vocal tract system and prosodic features for the purpose of enhancing emotion recognition performance. Features based on speaking rate characteristics are explored with the help of multi-stage and hybrid models for further improving emotion recognition performance. Proposed spectral and prosodic features are evaluated on real life emotional speech corpus.</p>

Subjects

Series Statement

• SpringerBriefs in Electrical and Computer Engineering

Links

• http://dx.doi.org/10.1007/978-1-4614-6360-3

Other Editions

• Robust Emotion Recognition using Spectral and Prosodic FeaturesElectronic resourceSpringer New York2013-01-01
• Robust Emotion Recognition using Spectral and Prosodic FeaturesPaperbackSpringer2013-01-12
• Robust Emotion Recognition using Spectral and Prosodic FeaturesPaperbackSpringer2013-01-12