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2 Nov 2000: A mixture of broadcast news and newswire text was used as training data for the topic model, with 144 million words of Broadcast News text and 25 million words of Los ... A word 4-gram language model was built using the Broadcast News and LATWP corpus

27 Jul 2020: Abstract for kim_icassp05. Proc. ICASSP 2005. DEVELOPMENT OF THE CU-HTK 2004 BROADCAST NEWS TRANSCRIPTION SYSTEMS. ... Sim, P.C. Woodland. March 2005. This paper describes our recent work on improving broadcast news transcription and presents details of

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: The audio, which comes in RealAudio format, is first converted into standard uncompressed format from which a transcription is produced using our large vocabulary broadcast news recognition engine. ... This yields a collection of text and audio documents

9 Aug 2005: The Broadcast News task is much more varied than that of recog-nising text read from the Wall Street Journal. ... Training text Adaptation Perplexity. Broadcast News None 134.4BNC None 277.5BNC Cache 216.5BNC Mixture 233.6.

14 Aug 2000: This system gives a word error rate of 15.9% on the 1998 Hub4 broadcast news evaluation data. ... J. J. Odell, P. C. Woodland, and T. Hain. The CUHTK-Entropic 10xRT Broadcast News Transcription System.

14 Aug 2000: The system gives a word error rate of 15.9% on the 1998 Hub4 broadcast news evaluation data. ... Odell, J. J., Woodland, P. C., and Hain, T. (1999). The CUHTK-Entropic 10xRT Broadcast News Transcription System.

30 Mar 2000: Three fixed backoff word-based language models were trained, from broadcast news text, newspaper texts and acoustic transcriptions, which were all generated using data from before 31st January 1998. ... The first model was built using 190 million words

2 Nov 2000: 2 Finding the TopicsA mixture of broadcast news and newswire text was usedas training data for the topic model, with 144 million wordsof Broadcast News text and 25 million words of ... 3 Building a Language ModelA word 4-gram language model was built

19 Apr 2000: Initially work done in Spoken Document Retrieval (SDR) focused on the automatic transcription of American broadcast news audio into manually pre-defined stories'', which were then run through a text-based ... 1999). Segmentation of Automatically