DUEL: A Multi-lingual Multimodal Dialogue Corpus for Disfluency, Exclamations and Laughter
Julian Hough, Ye Tian, Laura Edwina De Ruiter, Simon Betz, Spyros Kousidis, David Schlangen, Jonathan Ginzburg · 2016
We present the DUEL corpus, consisting of 24 hours of natural, face-to-face, loosely task-directed dialogue in German, French and Mandarin Chinese.The corpus is uniquely positioned as a cross-linguistic, multimodal dialogue resource controlled for domain.DUEL includes audio, video and body tracking data and is transcribed and annotated for disfluency, laughter and exclamations.