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.
It integrates multi- scale feature fusion module and bidirectional temporal-channel co-attention modules
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.AS 1years
2025 1verdicts
CONDITIONAL 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.