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 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.
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