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Transcribing meetings with the AMIDA systems
Type of publication: Journal paper
Citation: Hain_TASLP_2011
Publication status: Published
Journal: IEEE Transactions on Audio, Speech, and Language Processing
Volume: 20
Number: 2
Year: 2012
Month: February
Pages: 486--498
URL: http://ieeexplore.ieee.org/xpl...
DOI: 10.1109/TASL.2011.2163395
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 modelling, 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.
Projects AMIDA
Authors Hain, Thomas
Burget, Lukas
Dines, John
Garner, Philip N.
Grezl, Frantisek
El Hannani, Asmaa
Huijbregts, Marijn
Karafiat, Martin
Lincoln, Mike
Wan, Vincent
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Total mark: 0
  • Hain_TASLP_2011.pdf