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.
Cite as: Hain, T., Dines, J., Garau, G., Karafiát, M., Moore, D., Wan, V., Ordelman, R., Renals, S. (2005) Transcription of conference room meetings: an investigation. Proc. Interspeech 2005, 1661-1664, doi: 10.21437/Interspeech.2005-543
@inproceedings{hain05_interspeech,
author={Thomas Hain and John Dines and Giulia Garau and Martin Karafiát and Darren Moore and Vincent Wan and Roeland Ordelman and Steve Renals},
title={{Transcription of conference room meetings: an investigation}},
year=2005,
booktitle={Proc. Interspeech 2005},
pages={1661--1664},
doi={10.21437/Interspeech.2005-543}
}