Simon Betz

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2016

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DUEL: A Multi-lingual Multimodal Dialogue Corpus for Disfluency, Exclamations and Laughter
Julian Hough | Ye Tian | Laura de Ruiter | Simon Betz | Spyros Kousidis | David Schlangen | Jonathan Ginzburg
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

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.
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