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Despite dedicated efforts from multiple teams, existing speech systems still fall significantly short of deployment readiness for understanding real-world medical conversations in Indian languages, highlighting the need for further research.
State-of-the-art emotion recognition in conversations is now possible by decoupling modality-specific context modeling and multimodal fusion with a mixture-of-experts approach that doesn't require speaker identity.