On three acted speech emotion corpora, feature selection methods such as Fisher, ReliefF, ILFS, and the authors' AFS achieve similar or better unweighted average recall with substantially fewer acoustic features than the full set.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Emotion Recognition in Low-Resource Settings: An Evaluation of Automatic Feature Selection Methods
On three acted speech emotion corpora, feature selection methods such as Fisher, ReliefF, ILFS, and the authors' AFS achieve similar or better unweighted average recall with substantially fewer acoustic features than the full set.