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#emotion

2 curated events
papersTODAY 04:00 UTC

arXiv paper proposes emotion regulation framework for empathetic speech dialogue in audio-language models

A new arXiv preprint introduces ER-EDF, a framework that draws on psychological theories of emotion perception and regulation to guide empathetic responses in spoken dialogue systems built on large audio-language models. The work aims to improve how such systems both recognize a speaker's emotional state and regulate their own generated reply. It is a research contribution and has not been presented as a product or model release.

speech/emotion/dialogue/audio-language-models
papersTODAY 04:00 UTC

arXiv preprint links emotional grounding to task-oriented dialogue learning

A revised preprint on arXiv examines task-oriented dialogue systems, which help users complete goals through natural language. The authors argue that emotional factors shape learning in these systems, and that success depends not only on completing tasks but also on sustaining positive emotional exchanges and conveying information accurately.

dialogue-systems/emotion/nlp/arxiv