SpikEmo stacks spiking self-attention layers on text, audio, and video features with DSC and correlation losses, reporting 65.92 and 71.50 weighted-F1 on MELD and IEMOCAP.
Quantum-inspired neural network for conversational emotion recognition[C]//Proceedings of the AAAI Conference on Artificial Intelligence
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.MM 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
SpikEmo: Enhancing Emotion Recognition With Spiking Temporal Dynamics in Conversations
SpikEmo stacks spiking self-attention layers on text, audio, and video features with DSC and correlation losses, reporting 65.92 and 71.50 weighted-F1 on MELD and IEMOCAP.