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27 Jul 2020: Abstract for woodland_darpa98. Proc. 1998 DARPA Broadcast News Transcription and Understanding Workshop. ... The complete system yields an overall word error rate of 22.0% on the 1996 unpartitioned broadcast news development test data and just 15.8% on

27 Jul 2020: Moreover, using broadcast news language model alone trained on large data under-performs a model that includes additional small amount of broadcast conversations by 1.8% absolute character error rate. ... In addition, it was found that it is possible to

27 Jul 2020: T. Hain, P.C. Woodland. 1998. Broadcast news audio data contains a wide variety of different speakers and audio conditions (channel and background noise). ... The segmentation system has been evaluated on the DARPA 1997 broadcast news data set and

27 Jul 2020: CLUSTER VOTING FOR SPEAKER DIARISATION. S. E. Tranter. May 2004. It is often important to be able to automatically detect 'who spoke when' in audio data. ... The speaker diarisation task attempts to address this problem on Broadcast News data by defining

27 Jul 2020: Results are presented on the 6-show RT-03 Broadcast News evaluation data, showing the DER can be reduced by 1.64% and 2.56% absolute using this method when combining

27 Jul 2020: Abstract for chan_icassp2004. Proc. ICASSP 2004. IMPROVING BROADCAST NEWS TRANSCRIPTION BY LIGHTLY SUPERVISED DISCRIMINATIVE TRAINING. ... H.Y. Chan and P.C. Woodland. May 2004. In this paper, we present our experiments on lightly supervised

27 Jul 2020: Abstract for johnson_riao00. Proceedings, RIAO 2000. AUDIO INDEXING AND RETRIEVAL OF COMPLETE BROADCAST NEWS SHOWS. ... April 2000. This paper describes a system for retrieving relevant portions of complete broadcast news shows starting with only the

27 Jul 2020: Abstract for woodland_darpa99. Proc DARPA Broadcast News Workshop, March 1999 (Herndon, VA). ... interpolated word level language models to combine text sources; increased broadcast news language model training data; and an extra adaptation stage using a

27 Jul 2020: Woodland. March 1999. This paper describes the spoken document retrieval system that we have been developing and assesses its performance using automatic transcriptions of about 50 hours of broadcast news data. ... The recognition engine is based on the

27 Jul 2020: Abstract for woodland_icassp97. Proceedings ICASSP'97. BROADCAST NEWS TRANSCRIPTION USING HTK. P.C. ... speech tasks to handle broadcast news transcription.