Papers with AV-Dialog

1 papers
AV-Dialog: Spoken Dialogue Models with Audio-Visual Input (2026.acl-long)

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Challenge: AV-Dialog uses audio and visual cues to track the target speaker, predict turn-taking, and generate coherent responses.
Approach: They propose a multimodal dialog framework that uses both audio and visual cues to track the target speaker.
Outcome: AV-Dialog outperforms audio-only models under interference, reducing transcription errors, improving turn-taking prediction and human-rated dialogue quality.

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