DUEL: A Multi-lingual Multimodal Dialogue Corpus for Disfluency, Exclamations and Laughter

نویسندگان

  • Julian Hough
  • Ye Tian
  • Laura E. de Ruiter
  • Simon Betz
  • Spyros Kousidis
  • David Schlangen
  • Jonathan Ginzburg
چکیده

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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تاریخ انتشار 2016