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21 - 30 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.

  1. Results that match 2 of 3 words

  2. ��������� �� � ����� ����� �������������� ����������������� ! �" …

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/knill_tr193.pdf
    9 Aug 2005: 2 f > f 35350 J<?L t'g<] e ]25342 gn h' [ <h'h <k% l e%f s<?]lxgk e 24<0l. ... 35 n J<?gh'l>lL2q0@ ' [ < f t_<?00 f 2' >'g#e[[ 35 e 24<0Nt e e,f / / l. (&)

  3. The Cambridge University March 2005 Speaker Diarisation System R. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/sinha_eurospeech05.pdf
    23 Jun 2005: 15. 16. 17. 18. SID CLR Threshold. Dev. 24 D. ER. ... Seg. men. t Im. pu. rity. on. dev. 04 (. 24 s.

  4. ��������� �� � ��������������������� �� �! !"…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/shih_tr170.pdf
    9 Aug 2005: 2 2 M# 39 D 24@ 9a3 8 C 6 6 @ C 6 6. ... r r$pqj q n,p. 8 /2!6 #(H 24@ A 2 @ 3C!3586 ( 0?

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    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/leggetter_icslp94.pdf
    9 Aug 2005: #"$%&'(),""%-'"/.#-01('/-"2(3 4/0"5('65"879('%%(;:1'5<>=?@;ACBED #FD.

  6. DEVELOPMENT OF THE CU-HTK 2004 BROADCAST NEWS TRANSCRIPTION SYSTEMS…

    mi.eng.cam.ac.uk/reports/svr-ftp/kim_icassp05.pdf
    1 Apr 2005: Using improved acoustic/language models andby combining systems with different segmentations, the 10RTsystem gave on average a 24% relative reduction in WER over theRT03 system.

  7. ADAPTATION OF PRECISION MATRIX MODELS ON LARGE VOCABULARYCONTINUOUS…

    mi.eng.cam.ac.uk/reports/svr-ftp/sim_icassp2005.pdf
    12 Apr 2005: SATSPAMcmllr+ 25.0 17.6 21.4 17.6cmllr 24.9 17.5 21.3 17.5. Table 2.

  8. ��������� �� ��� ��������� ��������� ��� ��� �����! " ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/yow_bmvc95.pdf
    9 Aug 2005: 9 24 r24@&:$"fc!eC<<c (. %=. (.r2>< (5"< ; "9.( 0=& (!"f"5.-&86. (%= ... 7' n" (."#"<$ "< g" < (| &!ihj ( (!"|.$: ". E. "|c% } :=p &86 #.<2>.c"< # /.".)6 ><$ n"<$ 24!m (eY2K (12>< / "<$.

  9. Estimating Disparity and Occlusions in Stereo Video Sequences Oliver…

    mi.eng.cam.ac.uk/reports/svr-ftp/williams_cvpr2005.pdf
    9 Aug 2005: For networkswithout loops, message-passing rules can be used to com-pute MAP and MMSE estimates at each node [16, 24]. ... Int. Conf. on Com-puter Vision, volume 2, pages 722–729, 1999. [24] J.

  10. PRONUNCIATION MODELING BY SHARING GAUSSIAN DENSITIESACROSS PHONETIC…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/nock_euro99.pdf
    9 Aug 2005: One wayto make a fair comparison is to compare the “merged” SLPMsystem with a system that has 24 Gaussians per state. ... However,data sparseness causes the 24 Gaussians-per-state system to beover trained and its WER on the test set is 39.7% which is

  11. ON THE USE OF SUPPORT VECTOR MACHINES FOR PHONETIC ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/clarkson_icassp99.pdf
    9 Aug 2005: For testing we chose the coreset. It consists of 192 utterances from 24 different speakers not in-cluded in the training set. ... JASA, 24:175–184, 1952. [11] Tony Robinson. Dynamic Error Propogation Networks.PhD thesis, Cambridge University

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