An improved ECAPA-TDNN using multiscale channel attention and differential attention reports 82.20 percent accuracy on six-class infant cry emotion recognition on the iFLYTEK/USTC public dataset.
Dunstan baby language classification with CNN,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.AS 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement
An improved ECAPA-TDNN using multiscale channel attention and differential attention reports 82.20 percent accuracy on six-class infant cry emotion recognition on the iFLYTEK/USTC public dataset.