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1 - 4 of 4 search results for `using our large vocabulary broadcast news` |u:mi.eng.cam.ac.uk
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  2. Abstract for woodland_darpa97

    mi.eng.cam.ac.uk/reports/abstracts/speech/woodland_darpa97.html
    27 Jul 2020: Woodland, M.J.F. Gales, D. Pye & S.J. Young. April 1997. This paper describes our efforts in extending a large vocabulary speech recognition system to handle broadcast news transcription. ... It includes a number of new features compared to previous HTK
  3. Abstract for tuerk_sigir00demo

    mi.eng.cam.ac.uk/reports/abstracts/tuerk_sigir00demo.html
    27 Jul 2020: The system downloads the audio track of British and American news broadcasts from the Internet once a day and adds them to its archive. ... The audio, which comes in RealAudio format, is first converted into standard uncompressed format from which a
  4. The Cambridge University Multimedia Document Retrieval Demo System

    mi.eng.cam.ac.uk/reports/full_html/tuerk_riao00demo.html/
    14 Aug 2000: The audio, which usually 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. ... The system gives a word error rate of 15.9%
  5. The Cambridge University Multimedia Document Retrieval Demo System

    mi.eng.cam.ac.uk/reports/full_html/tuerk_sigir00demo.html/
    14 Aug 2000: 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. ... J. J. Odell, P. C. Woodland, and T. Hain. The

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