|Department of Engineering|
|University of Cambridge > Engineering Department > Machine Intelligence Lab|
IMPROVEMENTS IN ACCURACY AND SPEED IN THE HTK BROADCAST NEWS TRANSCRIPTION SYSTEM
P.C. Woodland, J.J. Odell, T. Hain, G.L. Moore, T.R. Niesler, A. Tuerk and E.W.D. Whittaker.
This paper describes a number of recent improvements to the HTK Broadcast News Transcription System. Changes to the system include the use of more acoustic training data; use of cluster-based variance normalisation and vocal tract length normalisation; the use of interpolated language models and enhanced adaptation using a full variance transform. These changes produce a reduction in word error rate of 13%. A simplified version of the system has also been constructed that runs in less than 10 times real-time and gives a 2.3% absolute higher error rate than the 300xRT full system.
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