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Title:The AMI System For The Transcription Of Speech In Meetings
Authors: Thomas Hain ; Lukas Burget ; John Dines ; Giulia Garau ; Michael Lincoln ; Jithendra Vepa ; Martin Karafiat
Date: 2007
Publication Title:International Conference on Acoustics, Speech, and Signal Processing
Publication Type:Conference Paper Publication Status:Published
Volume No:IV Page Nos:357-360
DOI:10.1109/ICASSP.2007.366923 ISBN/ISSN:1-4244-0728-1
This 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 specifi- cally 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.
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Bibtex format
author = { Thomas Hain and Lukas Burget and John Dines and Giulia Garau and Michael Lincoln and Jithendra Vepa and Martin Karafiat },
title = {The AMI System For The Transcription Of Speech In Meetings},
book title = {International Conference on Acoustics, Speech, and Signal Processing},
publisher = {IEEE},
year = 2007,
volume = {IV},
pages = {357-360},
doi = {10.1109/ICASSP.2007.366923},

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