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11 - 20 of 126 search results for KaKaoTalk:ZA31 24 24 |u:mi.eng.cam.ac.uk where 0 match all words and 126 match some words.

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  2. INVESTIGATION OF ACOUSTIC MODELING TECHNIQUES FOR LVCSR SYSTEMS X. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/liu_icassp2005.pdf
    19 May 2005: Systemeval03. dev04s25 fsh Avg. P2-cn HLDA 26.6 18.4 22.6 18.7. P3a-cn SAT 24.5 17.1 20.9 17.3P3c-cn SPron 24.7 ... cn SPAM 24.1 16.9 20.6 17.2P3h-cn SATSPAM 23.9 16.9 20.5 16.8P3i-cn CTRL 24.5 17.5 21.1 17.6.

  3. Recent Developments at Cambridgein Broadcast News Transcription D.Y.…

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/kim_rt04.pdf
    15 Feb 2005: 0.16 0.18 0.2 0.22 0.24 0.2612. 14. 16. 18. 20. 22. ... Cambridge UniversityEngineering Department. RT04 EARS workshop 24. Recent Developments at Cambridge in Broadcast News Transcription.

  4. TWO-WAY CLUSTER VOTING TO IMPROVE SPEAKER DIARISATION PERFORMANCE S.…

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_icassp05.pdf
    25 Mar 2005: shows. The DER is 24.16%(28.05%) if the best(worst) input istaken independently for each show. ... true reference speakers, so when scoringagainst the reference, the supergroups may no longer be treated indepen-dently thus dramatically increasing the

  5. Advances in Structural Metadata for RT-04 atCUED M. Tomalin ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/tomalin_rt04.pdf
    15 Feb 2005: 1/68.8 51.7/24.8/79.8. PFMbnrt04 v1.0 tg 49.7/15.4/68.6 50.2/15.0/68.5 56.7/19.2/79.8. ... 24.4/72.5 50.7/28.6/82.7. PFMbnrt04 v1.0 cl40-tg 49.1/17.1/68.3 49.4/21.2/74.6

  6. THE DEVELOPMENT OF THE CAMBRIDGE UNIVERSITY RT-04 DIARISATION SYSTEM…

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_rt04.pdf
    10 Jan 2005: show. (b) Mean DER across all 24 development shows whenonly including c0 in clustering if the mean value is above a criticalthreshold. ... RT-04 RT-04 RT-04 23.86 24.12. Table 12. Progress since RT-03s on theeval04f data.

  7. Learning New Articulator Trajectories for a Speech Production…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/blackburn_icnn95.pdf
    9 Aug 2005: Figure 1: Variation in error at each of 24 network outputs over the course of the sentence “clear windows”. ... Figure 4 shows the MSE for both the (5,32,24) network trained on the original data and the.

  8. A NOVEL SELF-ORGANISING SPEECH PRODUCTIONSYSTEM USING…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/blackburn_ICPhS95.pdf
    9 Aug 2005: Wetrained feed-forward multi-layer percep-trons with 12 inputs, 30 hidden units,24 outputs and sigmoid non-linearitiesat the hidden units using resilient back-propagation (rprop) for 1000 batch updateepochs, ... RESULTSFigure 3 shows original and

  9. THE DEVELOPMENT OF THE CAMBRIDGE UNIVERSITY RT-04 DIARISATION SYSTEM…

    mi.eng.cam.ac.uk/reports/full_html/tranter_rt04.html/paper.pdf
    10 Jan 2005: show. (b) Mean DER across all 24 development shows whenonly including c0 in clustering if the mean value is above a criticalthreshold. ... RT-04 RT-04 RT-04 23.86 24.12. Table 12. Progress since RT-03s on theeval04f data.

  10. Face Recognition with Image Sets Using Manifold Density Divergence ...

    mi.eng.cam.ac.uk/reports/svr-ftp/oa214_CVPR_2005_paper1.pdf
    8 Aug 2005: 01. 20. 24. 2.5. 2. 1.5. 1. 0.5. 0. 0.5. 1. ... In Proc. IEEE European Conference onComputer Vision, pages 3–19, 2002. [24] G.

  11. USE OF GAUSSIAN SELECTION IN LARGE VOCABULARY CONTINUOUSSPEECH…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/knill_icslp96.pdf
    9 Aug 2005: Standard - - - - 100.0 12.72Standard GS 1.6 - - - 24.1 12.75Single ring 1.6 4 - - 18.4 12.88. ... 1.9 3 - - 20.3 12.881.9 4 - - 24.3 12.46.

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