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dc.contributor.authorHain, Thomas
dc.contributor.authorBurget, Lukas
dc.contributor.authorDines, John
dc.contributor.authorGarau, Giulia
dc.contributor.authorWan, Vincent
dc.contributor.authorKarafiat, Martin
dc.contributor.authorVepa, Jithendra
dc.contributor.authorLincoln, Michael
dc.date.accessioned2007-09-19T12:42:18Z
dc.date.available2007-09-19T12:42:18Z
dc.date.issued2007
dc.identifier.citationT. Hain, L. Burget, J. Dines, G. Garau, M. Karafiat, M. Lincoln, J. Vepa, and V. Wan. The AMI System for the Transcription of Speech in Meetings. In Proc. ICASSP, 2007en
dc.identifier.urihttp://hdl.handle.net/1842/2005
dc.description.abstractThis paper describes the AMI transcription system for speech in meetings developed in collaboration by five research groups. The system includes generic techniques such as discriminative and speaker adaptive training, vocal tract length normalisation, heteroscedastic linear discriminant analysis, maximum likelihood linear regression, and phone posterior based features, as well as techniques specifically designed for meeting data. These include segmentation and cross-talk suppression, beam-forming, domain adaptation, web-data collection, and channel adaptive training. The system was improved by more than 20% relative in word error rate compared to our previous system and was used in the NIST RT’06 evaluations where it was found to yield competitive performance.en
dc.format.extent116258 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.subjectspeech technologyen
dc.subjectspeech recognitionen
dc.titleThe AMI System for the Transcription of Speech in Meetingsen
dc.typeConference Paperen


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