Publication Details
Transcription of Conference Room Meetings: an Investigation
Karafiát Martin, Ing., Ph.D. (DCGM FIT BUT)
Garau Giulia (UEDIN)
Moore Darren (IDIAP)
Wan Vincent (USF)
Ordelman Roeland (UTWENTE)
Renals Steve (UEDIN)
meeting transcription, speech recognition, LVCSR, vocabulary creation
In this paper we explore
the use of various meeting corpora for the purpose of automatic
speech recognition. In particular we investigate the similarity
of these resources and how to efficiently use them in the construction
of a meeting transcription system.
The automatic processing of speech collected in conference
style meetings has attracted considerable interest with several
large scale projects devoted to this area. In this paper we explore
the use of various meeting corpora for the purpose of automatic
speech recognition. In particular we investigate the similarity
of these resources and how to efficiently use them in the construction
of a meeting transcription system. The analysis shows
distinctive features for each resource. However the benefit in
pooling data and hence the similarity seems sufficient to speak
of a generic "conference meeting domain". In this context this
paper also presents work on development for the AMI meeting
transcription system, a joint effort by seven sites working on the
AMI (augmented multi-party interaction) project.
@INPROCEEDINGS{FITPUB7931, author = "Thomas Hain and Martin Karafi\'{a}t and Giulia Garau and Darren Moore and Vincent Wan and Roeland Ordelman and Steve Renals", title = "Transcription of Conference Room Meetings: an Investigation", pages = 4, booktitle = "Interspeech'2005 - Eurospeech - 9th European Conference on Speech Communication and Technology", journal = "European Speech Communication", volume = 2005, number = 9, year = 2005, location = "Lisabon, PT", publisher = "International Speech Communication Association", ISSN = "1018-4074", language = "english", url = "https://www.fit.vut.cz/research/publication/7931" }