%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{renals:asru:2007,
         author = {Renals, Steve and Hain, Thomas and Bourlard, Herv{\'{e}}},
       projects = {Idiap},
          month = {12},
          title = {Recognition and Understanding of Meetings The AMI and AMIDA Projects},
      booktitle = {Proc. of the {IEEE} Workshop on Automatic Speech Recognition and Understanding, {ASRU}'07},
           year = {2007},
        address = {Kyoto},
           note = {IDIAP-RR 07-46},
       crossref = {renals:rr07-46},
       abstract = {The AMI and AMIDA projects are concerned with the recognition and interpretation of multiparty meetings. Within these projects we have: developed an infrastructure for recording meetings using multiple microphones and cameras; released a 100 hour annotated corpus of meetings; developed techniques for the recognition and interpretation of meetings based primarily on speech recognition and computer vision; and developed an evaluation framework at both component and system levels. In this paper we present an overview of these projects, with an emphasis on speech recognition and content extraction.},
            pdf = {https://publications.idiap.ch/attachments/papers/2007/renals-asru-2007.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/papers/2007/renals-asru-2007.ps.gz},
ipdmembership={speech},
}



crossreferenced publications: 
@TECHREPORT{renals:rr07-46,
         author = {Renals, Steve and Hain, Thomas and Bourlard, Herv{\'{e}}},
       projects = {Idiap},
          title = {Recognition and Understanding of Meetings The AMI and AMIDA Projects},
           type = {Idiap-RR},
         number = {Idiap-RR-46-2007},
           year = {2007},
    institution = {IDIAP},
       abstract = {The AMI and AMIDA projects are concerned with the recognition and interpretation of multiparty meetings. Within these projects we have: developed an infrastructure for recording meetings using multiple microphones and cameras; released a 100 hour annotated corpus of meetings; developed techniques for the recognition and interpretation of meetings based primarily on speech recognition and computer vision; and developed an evaluation framework at both component and system levels. In this paper we present an overview of these projects, with an emphasis on speech recognition and content extraction.},
            pdf = {https://publications.idiap.ch/attachments/reports/2007/renals-idiap-rr-07-46.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2007/renals-idiap-rr-07-46.ps.gz},
ipdmembership={speech},
}