Adding center loss to softmax cross-entropy improves speech emotion recognition accuracy by 3 to 4 percent on IEMOCAP for both Mel and STFT spectrogram inputs.
Representation learn- ing: A review and new perspectives,
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
-
learning discriminative features from spectrograms using center loss for speech emotion recognition
Adding center loss to softmax cross-entropy improves speech emotion recognition accuracy by 3 to 4 percent on IEMOCAP for both Mel and STFT spectrogram inputs.