journalarticle
Learning Backchanneling Behaviors for a Social Robot via Data Augmentation from Human-Human Conversations
Michael Murray, Nick Walker, Amal Nanavati, Patrícia Alves-Oliveira, N. Filippov, Allison Sauppé, Bilge Mutlu, Maya Cakmak
Conference on Robot Learning2021 22 citations46 references
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Abstract
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TL;DRIt is shown that, by augmenting the input speech and visual features, data-driven models are produced that are more robust to unseen features without collecting additional data. (Semantic Scholar)