%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},
}