%Aigaion2 BibTeX export from Idiap Publications
%Saturday 21 December 2024 06:03:51 PM

@INPROCEEDINGS{carletta:mlmi05,
         author = {Carletta, Jean and Ashby, Simone and Bourban, Sebastien and Flynn, Mike and Guillemot, Ma{\"{e}}l and Hain, Thomas and Kadlec, Jaroslav and Karaiskos, Vasilis and Kraaij, Wessel and Kronenthal, Melissa and Lathoud, Guillaume and Lincoln, Mike and Lisowska, Agnes and McCowan, Iain A. and Post, Wilfried and Reidsma, Dennis and Wellner, Pierre},
       projects = {Idiap},
          title = {The AMI Meeting Corpus: a Pre-Announcement},
      booktitle = {Machine Learning for Multimodal Interaction: Second International Workshop, {MLMI'2005}},
           year = {2005},
       crossref = {guillemo:rr05-82},
       abstract = {The AMI Meeting Corpus is a multi-modal data set consisting of 100 hours of meeting recordings. It is being created in the context of a project that is developing meeting browsing technology and will eventually be released publicly. Some of the meetings it contains are naturally occurring, and some are elicited, particularly using a scenario in which the participants play different roles in a design team, taking a design project from kick-off to completion over the course of a day. The corpus is being recorded using a wide range of devices including close-talking and far-field microphones, individual and room-view video cameras, projection, a whiteboard, and individual pens, all of which produce output signals that are synchronized with each other. It is also being hand-annotated for many different phenomena, including orthographic transcription, discourse properties such as named entities and dialogue acts, summaries, emotions, and some head and hand gestures. We describe the data set, including the rationale behind using elicited material, and explain how the material is being recorded, transcribed and annotated.},
            pdf = {https://publications.idiap.ch/attachments/reports/2005/carletta-2005-mlmi.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2005/guillemo-idiap-rr-05-82.ps.gz},
ipdmembership={speech, learning, vision},
}



crossreferenced publications: 
@TECHREPORT{guillemo:rr05-82,
         author = {Carletta, Jean and Ashby, Simone and Bourban, Sebastien and Flynn, Mike and Guillemot, Ma{\"{e}}l and Hain, Thomas and Kadlec, Jaroslav and Karaiskos, Vasilis and Kraaij, Wessel and Kronenthal, Melissa and Lathoud, Guillaume and Lincoln, Mike and Lisowska, Agnes and McCowan, Iain A. and Post, Wilfried and Reidsma, Dennis and Wellner, Pierre},
       projects = {Idiap},
          title = {The ami meeting corpus: a pre-announcement},
           type = {Idiap-RR},
         number = {Idiap-RR-82-2005},
           year = {2005},
    institution = {IDIAP},
       abstract = {The AMI Meeting Corpus is a multi-modal data set consisting of 100 hours of meeting recordings. It is being created in the context of a project that is developing meeting browsing technology and will eventually be released publicly. Some of the meetings it contains are naturally occurring, and some are elicited, particularly using a scenario in which the participants play different roles in a design team, taking a design project from kick-off to completion over the course of a day. The corpus is being recorded using a wide range of devices including close-talking and far-field microphones, individual and room-view video cameras, projection, a whiteboard, and individual pens, all of which produce output signals that are synchronized with each other. It is also being hand-annotated for many different phenomena, including orthographic transcription, discourse properties such as named entities and dialogue acts, summaries, emotions, and some head and hand gestures. We describe the data set, including the rationale behind using elicited material, and explain how the material is being recorded, transcribed and annotated.},
            pdf = {https://publications.idiap.ch/attachments/reports/2005/guillemo-idiap-rr-05-82.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2005/guillemo-idiap-rr-05-82.ps.gz},
ipdmembership={vision},
}