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  2. Starry starry nights | University of Cambridge

    https://www.cam.ac.uk/news/starry-starry-nights
    6 Dec 2004: Search. Search. Starry starry nights. News. Starry starry nights..
  3. Speaker Diarisation for Broadcast News

    mi.eng.cam.ac.uk/reports/full_html/tranter_odyssey04.html/
    14 Jun 2004: The. CU_TDT4. system removed 18.4% of the audio, which consisted of 1783s=86.3% of all the adverts and 198s=2.28% of all the news; whilst the. ... data. The system removed 8.9% of the evaluation data, which consisted of 867s=40.5% of all the adverts and
  4. Memory and Emotions for the September 11, 2001, Terrorist ...

    www.memlab.psychol.cam.ac.uk/pubs/Budson2004%20Neuropsy.pdf
    26 Apr 2004: All statistical analyseswere performed using SPSS 10.05 software (SPSS Inc., Chicago,IL). ... Second, in the initial interview all participants rememberedmore personal details of how they heard the news of the attacksthan factual details of those attacks,
  5. https://people.ast.cam.ac.uk/~wfcam/docs/minutes/minutes_040128.txt

    https://people.ast.cam.ac.uk/~wfcam/docs/minutes/minutes_040128.txt
    30 Jan 2004: Comments on WFAU minutes It was noted that 10 Mbytes/s transfer rate had been reported and that all was quiet in the Hobbyar House. ... This will be on the 4th February at the IoA and last all day.
  6. Grand Launch for University Entrepreneurs | University of Cambridge

    https://www.cam.ac.uk/news/grand-launch-for-university-entrepreneurs
    13 Oct 2004: Search. Search. Grand Launch for University Entrepreneurs. News. Grand Launch for University Entrepreneurs..
  7. EARS STT Overview Phil Woodland February 4th 2004 Cambridge ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/woodland_board_earsfeb04.pdf
    23 Mar 2004: For non-English. • Improvements for all languages / tasks. • Relatively little data for non-English. • ... STT Collaboration Examples. • Sharing & Preparing Data– Wordwave segmentations (BBN)– Common broadcast news development sets (LIMSI
  8. Language modelling’s generative model: is it rational? Karen Spärck…

    https://www.cl.cam.ac.uk/archive/ksj21/langmodnote4.pdf
    10 Sep 2004: We might have some expectations about news stories as a genre,i.e. ... disjunction of all the typesof things news stories can be about, but excluding those that are already running this week,and I recognise a new story as new because it pulls
  9. 23 Dec 2004: Table 5. Performance varying the decision tree and HLDA trainingdata, all models MPE trained. ... All experiments use the interpolated language modelwith the news corpora. Language Model System (S3) CER (%)dev04.
  10. Speaker Diarisation for Broadcast News S. E. Tranter† and ...

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_odyssey04.pdf
    25 Mar 2004: The CU TDT4 system re-moved 18.4% of the audio, which consisted of 1783s=86.3%of all the adverts and 198s=2.28% of all the news; whilst theCU ... The system removed8.9% of the evaluation data, which consisted of 867s=40.5% ofall the adverts and 70s=0.83%
  11. Hermes: A scalable event-based middleware

    https://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-590.pdf
    5 Jun 2004: Bibliography 171. 15. 16. List of Figures. 1.1 A news story dissemination system. ... News corporations prefer to only receive information that they are interested inand news agencies do not want to deal with the complexity of having knowledge about all
  12. Cluster Voting for Speaker Diarisation S.E.…

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_tr476.pdf
    13 May 2004: 32.2 The Broadcast News Data for Diarisation. 32.3 Diarisation Scoring. 4. ... For this case all the data is given a speaker label (i.e.

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