More than words: inference of socially relevant information from nonverbal vocal cues in speech

  • Authors:
  • Alessandro Vinciarelli;Hugues Salamin;Gelareh Mohammadi;Khiet Truong

  • Affiliations:
  • University of Glasgow, Glasgow, UK and Idiap Research Institute, Martigny, Switzerland;University of Glasgow, Glasgow, UK;Idiap Research Institute, Martigny, Switzerland and EPFL, Lausanne, Switzerland;University of Twente, Enschede, The Netherlands

  • Venue:
  • Proceedings of the Third COST 2102 international training school conference on Toward autonomous, adaptive, and context-aware multimodal interfaces: theoretical and practical issues
  • Year:
  • 2010

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Abstract

This paper presents two examples of how nonverbal communication can be automatically detected and interpreted in terms of social phenomena. In particular, the presented approaches use simple prosodic features to distinguish between journalists and non-journalists in media, and extract social networks from turn-taking to recognize roles in different interaction settings (broadcast data and meetings). Furthermore, the article outlines some of the most interesting perspectives in this line of research.