Hain, T. orcid.org/0000-0003-0939-3464, Burget, L., Dines, J. et al. (7 more authors) (2012) Transcribing meetings with the AMIDA systems. IEEE Transactions on Audio, Speech and Language Processing, 20 (2). pp. 486-498. ISSN 1558-7916
Abstract
In this paper, we give an overview of the AMIDA systems for transcription of conference and lecture room meetings. The systems were developed for participation in the Rich Transcription evaluations conducted by the National Institute for Standards and Technology in the years 2007 and 2009 and can process close talking and far field microphone recordings. The paper first discusses fundamental properties of meeting data with special focus on the AMI/AMIDA corpora. This is followed by a description and analysis of improved processing and modeling, with focus on techniques specifically addressing meeting transcription issues such as multi-room recordings or domain variability. In 2007 and 2009, two different strategies of systems building were followed. While in 2007 we used our traditional style system design based on cross adaptation, the 2009 systems were constructed semi-automatically, supported by improved decoders and a new method for system representation. Overall these changes gave a 6%-13% relative reduction in word error rate compared to our 2007 results while at the same time requiring less training material and reducing the real-time factor by five times. The meeting transcription systems are available at www.webasr.org.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2012 IEEE. |
Keywords: | AMI corpus; Juicer; meeting transcription; multiple distant microphone; resource optimisation; rich text |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number European Commission - FP6/FP7 033812 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 23 Feb 2021 07:44 |
Last Modified: | 23 Feb 2021 07:44 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Refereed: | Yes |
Identification Number: | 10.1109/TASL.2011.2163395 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:171415 |