Recent advances in broadcast news transcription
D.Y. Kim, G. Evermann, Thomas Hain, David Mrva, S.E. Tranter, Lin Wang, Philip C. Woodland · 2004
Th paper describes recent advances in the CU-HTK Broadcast News English (BN-E) transcription system and its performance in the DARPA/NIST Rich Transcription 2003 Speech-to-Text (RT-03) evaluation. Heteroscedastic linear discriminant analysis (HLDA) and discriminative training, which were previously developed in the context of the recognition of conversational telephone speech, have been successfully applied to the BN-E task for the first time. A number of new features have also been added. These include gender-dependent (GD) discriminative training and modified discriminative training using lattice regeneration and combination. On the 2003 evaluation set, the system gave an overall word error rate of 10.7% in less than 10 times real time (10/spl times/RT).