Preprint
Sep 2026
Candor-LR: A Dyadic Conversational Dataset for Audio-Visual Speech Recognition
Candor-LR is introduced, a conversational benchmark derived from the CANDOR corpus of 1,656 natural dyadic videoconferences that significantly improves cross-domain robustness under both clean and noisy conditions, as its realistic conversational data captures broader audio-video features.
Rishabh Jain, A. Papadopoulos, Zhao-Feng Lin et al.
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