TY - GEN
T1 - DUEL: A Multi-lingual Multimodal Dialogue Corpus for Disfluency, Exclamations and Laughter
AU - Hough, Julian
AU - Tian, Ye
AU - De Ruiter, Laura
AU - Betz, Simon
AU - Kousidis, Spyros
AU - Schlangen, David
AU - Ginzburg, Jonathan
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
M3 - Conference contribution
BT - Proceedings of the 10th edition of the Language Resources and Evaluation Conference
ER -