A three-stage speech and text model with LLM-generated pseudo-labels on ASR transcripts reports state-of-the-art weighted F1 on MELD and CMU-MOSI.
Emotion recognition in conversation: Research chal- lenges, datasets, and recent advances,
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
support 1representative citing papers
citing papers explorer
-
LLM supervised Pre-training for Multimodal Emotion Recognition in Conversations
A three-stage speech and text model with LLM-generated pseudo-labels on ASR transcripts reports state-of-the-art weighted F1 on MELD and CMU-MOSI.