Cardiff conversation database (CCDB): A database of natural dyadic conversations

Andrew J. Aubrey, David Marshall, Paul L. Rosin, Jason Vendeventer, Douglas W. Cunningham, Christian Wallraven

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

We present the Cardiff Conversation Database (CCDb), a unique 2D audiovisual database containing natural conversations between pairs of people. The database currently contains 30 conversations. To date, eight conversations are fully annotated for speaker activity, facial expressions, head motion, and non-verbal utterances. In this paper we describe the data collection and annotation process. We also provide results of baseline experiments in which an SVM classifier was used to identify which parts of the recordings are from the frontchannel speaker and which are backchannel signals. We believe this database will make a useful contribution to computer vision, affective computing, and cognitive science communities by providing raw data, features, annotations and baseline comparisons.

Original languageEnglish
Title of host publicationIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Pages277-282
Number of pages6
DOIs
Publication statusPublished - 2013 Oct 8
Event2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013 - Portland, OR, United States
Duration: 2013 Jun 232013 Jun 28

Other

Other2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013
CountryUnited States
CityPortland, OR
Period13/6/2313/6/28

Keywords

  • Conversations
  • Database
  • Facial Expressions

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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  • Cite this

    Aubrey, A. J., Marshall, D., Rosin, P. L., Vendeventer, J., Cunningham, D. W., & Wallraven, C. (2013). Cardiff conversation database (CCDB): A database of natural dyadic conversations. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp. 277-282). [6595887] https://doi.org/10.1109/CVPRW.2013.48