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AMuSE: Adaptive Multimodal Analysis for Speaker Emotion Recognition in Group Conversations
This difficulty is compounded in group settings, where the emotion and its temporal evolution are not only influenced by the individual but also by external contexts like audience reaction and context of the ongoing conversation.
Multi-label Emotion Analysis in Conversation via Multimodal Knowledge Distillation
Evaluating speaker emotion in conversations is crucial for various applications requiring human-computer interaction.
Ranked #1 on
Multimodal Sentiment Analysis
on CMU-MOSEI
Physical Momentum in the Indian Stock Market
Our study focuses on determining the presence of abnormal returns for physical momentum portfolios in the context of the Indian market.
