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  2. Segment Generation and Clustering in the HTKBroadcast News

    mi.eng.cam.ac.uk/reports/svr-ftp/hain_darpa98.pdf
    8 Mar 2000: 1. IntroductionThe transcription of broadcast news requires techniques to deal withthe large variety of data types present. ... The distribution of broadcast news data suitable for GMM trainingcan be seen in Table 1.
  3. WHO SPOKE WHEN? - AUTOMATIC SEGMENTATION ANDCLUSTERING FOR…

    mi.eng.cam.ac.uk/reports/svr-ftp/johnson_eurospeech99.pdf
    10 Apr 2000: These methods were shown tobe an important part of our overall recognition systemfor broadcast news. ... The 1996 Hub-4 Broadcast News Transcription develop-ment data was used for all the experiments reported inthis paper.
  4. GENERAL QUERY EXPANSION TECHNIQUESFOR SPOKEN DOCUMENT RETRIEVAL…

    mi.eng.cam.ac.uk/reports/svr-ftp/jourlin_esca99.pdf
    10 Apr 2000: The input data is presented to the system as com-plete episodes of broadcast news shows and these are. ... The HMMs used in TREC-7 were trained on 70hours of acoustic data and the language model wastrained on manually transcribed broadcast news span-ning
  5. The 1998 HTK Broadcast News Transcription System:Development and…

    mi.eng.cam.ac.uk/reports/svr-ftp/woodland_darpa99.pdf
    8 Mar 2000: The paper is arranged as follows. We first give details ofthe broadcast news data used in the experiments, then givean outline of the overall system used in the 1997 evaluation.The ... Our experiments with FD on broadcast news data show thatoverall we
  6. 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: TREC-7 1. 2. THE HTK BROADCAST NEWS TRANSCRIPTIONSYSTEM. The input data is presented to our HTK transcription system as com-plete episodes of broadcast news shows and these are first ... The HMMs for TREC-7 used HMMs trained on 70 hours of acous-tic data
  7. 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. ... This was useful, but we went further and developed a new pair of
  8. Audio Indexing and Retrieval of Complete Broadcast News Shows ...

    mi.eng.cam.ac.uk/reports/svr-ftp/johnson_riao00.pdf
    10 Apr 2000: Abstract. This paper describes a system for retrieving relevant portions of complete broadcast news shows startingwith only the audio data. ... 7 Conclusions. This paper has described a system for retrieving relevant portions of complete broadcast news
  9. Submitted in partial requirement for the MPhil in Computer ...

    mi.eng.cam.ac.uk/reports/svr-ftp/johnson_mthesis.pdf
    10 Apr 2000: s. ucce. ss. Success in Identifying Speakers Using Covariance. Figure 2: Results of using distance metrics d1-d13 on broadcast news data. ... s. ucce. ss. Success in Identifying Speakers Using Covariance. Figure 3: Results of using d14-d23 on broadcast
  10. SPOKEN DOCUMENT RETRIEVAL FOR TREC-8 AT CAMBRIDGE UNIVERSITY S.E. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/johnson_trec8.pdf
    10 Apr 2000: Since a substantial portion of the data to betranscribed was known to be commercials and thus irrelevantto broadcast news queries, an automatic method of detectingand eliminating such commercials would potentially reduce ... Three fixed backoff
  11. Class-based language model adaptation using mixtures ofword-class…

    mi.eng.cam.ac.uk/reports/svr-ftp/moore_icslp00.pdf
    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

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