Ba Tu Truong, Svetha Venkatesh, et al.
ICPR 2002
This paper describes the IBM approach to Broadcast News (BN) transcription. Typical problems in the BN transcription task are segmentation, clustering, acoustic modeling, language modeling and acoustic model adaptation. This paper presents new algorithms for each of these focus problems. Some key ideas include Bayesian information criterion (BIC) (for segmentation, clustering and acoustic modeling) and speaker/cluster adapted training (SAT/CAT). © 2002 Elsevier Science B.V. All rights reserved.
Ba Tu Truong, Svetha Venkatesh, et al.
ICPR 2002
Faisal Farooq, Ruud M. Bolle, et al.
CVPR 2007
Jonathan H. Connell, Nalini K. Ratha, et al.
ICIP 2002
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ICMEW 2013