%Aigaion2 BibTeX export from Idiap Publications
%Saturday 21 December 2024 05:21:21 PM

@INPROCEEDINGS{Favre_ICMI2008_2008,
         author = {Favre, Sarah and Salamin, Hugues and Dines, John and Vinciarelli, Alessandro},
       projects = {Idiap, IM2},
          month = {10},
          title = {Role Recognition in Multiparty Recordings using Social Affiliation Networks and Discrete Distributions},
      booktitle = {International Conference on Multimodal Interfaces},
           year = {2008},
       location = {Chania, Greece},
       crossref = {sfavre:rr08-64},
       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.},
            pdf = {https://publications.idiap.ch/attachments/papers/2009/Favre_ICMI2008_2008.pdf}
}



crossreferenced publications: 
@TECHREPORT{sfavre:rr08-64,
         author = {Favre, Sarah and Salamin, Hugues and Vinciarelli, Alessandro},
       projects = {Idiap},
          title = {Role Recognition in Multiparty Recordings using Social Affiliation Networks and Discrete Distributions},
           type = {Idiap-RR},
         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.},
            pdf = {https://publications.idiap.ch/attachments/reports/2008/sfavre-idiap-rr-08-64.pdf},
ipdmembership={multimodal}
}