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1 - 10 of 10 search results for `such as Broadcast News` |u:mi.eng.cam.ac.uk
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  2. A Method for Direct Audio Search with Applications to Indexing and…

    mi.eng.cam.ac.uk/reports/full_html/johnson_icassp00.html/
    16 Jun 2000: A more complex example is to automatically detect repeated events in a database of broadcasts which usually correspond to non-news items such as commercials or jingles. ... Since pre-recorded commercials and jingles are often re-broadcast several times,
  3. Speaker Clustering Using Direct Maximisation of the MLLR-Adapted…

    mi.eng.cam.ac.uk/reports/full_html/johnson_icslp98.html/
    8 Mar 2000: For speech transcription problems with widely varying speaker, channel and background conditions, such as broadcast news transcription, it is beneficial to include unsupervised test-data adaptation to individual speakers and data ... M A Siegler,
  4. Who Spoke When? - Automatic Segmentation and Clustering for…

    mi.eng.cam.ac.uk/reports/full_html/johnson_eurospeech99.html/
    2 Mar 2000: The 1996 Hub-4 Broadcast News Transcription development data was used for all the experiments reported in this paper. ... In tasks such as following (potentially unknown) speakers through broadcast news shows, where frame error is more important, the
  5. Experiments in Broadcast News Transcription

    mi.eng.cam.ac.uk/reports/full_html/woodland_icassp98.html/
    1 Mar 2000: That system was constructed using HMMs trained on the Wall Street Journal (WSJ) corpus as a base and then adapted to individual data types of broadcast news data using supervised maximum ... The rest of the paper is arranged as follows. We first give
  6. A METHOD FOR DIRECT AUDIO SEARCH WITH APPLICATIONS TOINDEXING ...

    mi.eng.cam.ac.uk/reports/svr-ftp/johnson_icassp00.pdf
    19 Apr 2000: 5. EXPT. 2 – FINDING NON-NEWS EVENTS. Since pre-recorded commercials and jingles are often re-broadcast several times, the audio corresponding to non-news items such as commercials will often ... The technique has shown to be effective at finding
  7. The 1997 HTK Broadcast News Transcription System

    mi.eng.cam.ac.uk/reports/full_html/woodland_darpa98.html/
    1 Mar 2000: That system was constructed using HMMs trained on the Wall Street Journal (WSJ) corpus as a base and then adapted to individual data types of broadcast news data using supervised maximum ... The rest of the paper is arranged as follows. We first give
  8. EXPERIMENTS IN BROADCAST NEWS TRANSCRIPTION P.C. Woodland, T. Hain,…

    mi.eng.cam.ac.uk/reports/svr-ftp/woodland_icassp98.pdf
    10 Apr 2000: The rest of the paper is arranged as follows. We first give de-tails of the broadcast news data used, and then describe our workon segment processing (segmentation, classification and ... This corpus will be referred to as BN-train96. A further tranche
  9. Spoken Document Retrieval for TREC-7 at Cambridge University

    mi.eng.cam.ac.uk/reports/full_html/johnson_trec7.html/
    30 Mar 2000: The input data is presented to our HTK transcription system as complete episodes of broadcast news shows and these are first converted to a set of segments for further processing. ... Thus words' occurring in broadcast news which represent hesitations in
  10. The 1997 HTK Broadcast News Transcription SystemP.C. Woodland, T. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/woodland_darpa98.pdf
    8 Mar 2000: The 1997 HTK Broadcast News Transcription SystemP.C. Woodland, T. Hain, S.E. ... The rest of the paper is arranged as follows. We first givedetails of the broadcast news data used in the experiments,and briefly describe our work on segment processing
  11. SPOKEN DOCUMENT RETRIEVAL FOR TREC-7 AT CAMBRIDGE UNIVERSITY S.E. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/johnson_trec7.pdf
    8 Mar 2000: Thus ‘words’ occurring in broadcast news whichrepresent hesitations in speech, such as uh-huh or hmmm were definedas stop words and finally some common function words which ap-peared to have ... to be made equivalent. A stemming excep-tions list was

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