3 citations · 15 across the 20 of their papers we have counts for
3 papers · 1 filter
A novel multimodal dynamic fusion network for disfluency detection in spoken utterances
Sreyan Ghosh, Utkarsh Tyagi, Sonal Kumar +2
Disfluency, though originating from human spoken utterances, is primarily studied as a uni-modal text-based Natural Language Processing (NLP) task. Based on early-fusion and self-a…
M-MELD: A Multilingual Multi-Party Dataset for Emotion Recognition in Conversations
Sreyan Ghosh, S Ramaneswaran, Utkarsh Tyagi +4
Expression of emotions is a crucial part of daily human communication. Emotion recognition in conversations (ERC) is an emerging field of study, where the primary task is to identi…
MMER: Multimodal Multi-task Learning for Speech Emotion Recognition
Sreyan Ghosh, Utkarsh Tyagi, S Ramaneswaran +2
In this paper, we propose MMER, a novel Multimodal Multi-task learning approach for Speech Emotion Recognition. MMER leverages a novel multimodal network based on early-fusion and…