logo Idiap Research Institute        
 [BibTeX] [Marc21]
Role Recognition in Multiparty Recordings using Social Affiliation Networks and Discrete Distributions
Type of publication: Idiap-RR
Citation: sfavre:rr08-64
Number: Idiap-RR-64-2008
Year: 2008
Institution: IDIAP
Note: To appear in Proceedings of ICMI International Conference on Multimodal Interfaces (2008)
Abstract: This paper presents an approach for the recognition of roles in multiparty recordings. The approach includes two major stages: extraction of Social Affiliation Networks (speaker diarization and representation of people in terms of their social interactions,',','), and role recognition (application of discrete probability distributions to map people into roles). The experiments are performed over several corpora, including broadcast data and meeting recordings, for a total of roughly 90 hours of material. The results are satisfactory for the broadcast data (around 80 percent of the data time correctly labeled in terms of role,',','), while they still must be improved in the case of the meeting recordings (around 45 percent of the data time correctly labeled). In both cases, the approach outperforms significantly chance.
Userfields: ipdmembership={multimodal}
Projects Idiap
Authors Favre, Sarah
Salamin, Hugues
Vinciarelli, Alessandro
Crossref by Favre_ICMI2008_2008
Added by: [UNK]
Total mark: 0
  • sfavre-idiap-rr-08-64.pdf