|Department of Engineering|
|University of Cambridge > Engineering Department > Machine Intelligence Lab|
DEVELOPMENT OF THE CU-HTK 2004 BROADCAST NEWS TRANSCRIPTION SYSTEMS
D.Y. Kim, H.Y. Chan, G. Evermann, M.J.F. Gales, D. Mrva, K.C. Sim, P.C. Woodland
This paper describes our recent work on improving broadcast news transcription and presents details of the CU-HTK Broadcast News English (BN-E) transcription system for the DARPA/NIST Rich Transcription 2004 Speech-to-Text (RT04) evaluation. A key focus has been building a system using an order of magnitude more acoustic training data than we have previously attempted. We have also investigated a range of techniques to improve both Minimum Phone Error (MPE) training and the efficient creation of MPE-based narrow-band models. The paper describes two alternative system structures that run in under 10xRT and a further system that runs in less than 1xRT. This final system gives lower word error rates than our 2003 system that ran in 10xRT.
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2005 Cambridge University Engineering Dept
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