ALICO: a multimodal corpus for the study of active listening

Hendrik Buschmeier, Zofia Malisz, Joanna Skubisz, Marcin Wlodarczak, Ipke Wachsmuth, Stefan Kopp, Petra Wagner

Abstract
The Active Listening Corpus (ALICO) is a multimodal database of spontaneous dyadic conversations with diverse speech and gestural annotations of both dialogue partners. The annotations consist of short feedback expression transcription with corresponding communicative function interpretation as well as segmentation of interpausal units, words, rhythmic prominence intervals and vowel-to-vowel intervals. Additionally, ALICO contains head gesture annotation of both interlocutors. The corpus contributes to research on spontaneous human–human interaction, on functional relations between modalities, and timing variability in dialogue. It also provides data that differentiates between distracted and attentive listeners. We describe the main characteristics of the corpus and present the most important results obtained from analyses in recent years.
Anthology ID:
L14-1013
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
3638–3643
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/1017_Paper.pdf
DOI:
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Cite (ACL):
Hendrik Buschmeier, Zofia Malisz, Joanna Skubisz, Marcin Wlodarczak, Ipke Wachsmuth, Stefan Kopp, and Petra Wagner. 2014. ALICO: a multimodal corpus for the study of active listening. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 3638–3643, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
ALICO: a multimodal corpus for the study of active listening (Buschmeier et al., LREC 2014)
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http://www.lrec-conf.org/proceedings/lrec2014/pdf/1017_Paper.pdf
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