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1 - 14 of 14 search results for TALK:PC53 20 |u:mi.eng.cam.ac.uk where 0 match all words and 14 match some words.
  1. Results that match 1 of 2 words

  2. 13 Jun 2013: First, we show score normaliza-tion methodology that improves in average by 20% keyword searchperformance. ... 20–27. [20] X. Cui, J. Xue, X. Chen, P. A. Olsen, P.
  3. IB-interestpoints.dvi

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2013-IB-handout2.pdf
    10 May 2013: Sig. nal. Sigma = 20. As σ increases, the signal is smoothed more andmore, and only the central edge survives. ... This discontinuity canbe detected using correlation. 20 Engineering Part IB: Paper 8 Image Matching.
  4. 13 Jun 2013: System wsj1 dt wsj0 dt wsj0 etMST 23.3 15.7 14.9CAT 20.3 13.3 13.0. ... 20, no. 6, pp. 1713–1724, 2012. [8] J. Latorre, V. Wan, M.
  5. A HIGH-PERFORMANCE CANTONESE KEYWORD SEARCH SYSTEM

    mi.eng.cam.ac.uk/~mjfg/ICASSP13_ibm2.pdf
    13 Jun 2013: 20, no. 8, pp. 2252–2264, 2012. [10] H. Soltau, G. Saon, and B. ... Interspeech, 2011, pp. 1433–1436. [20] D. Can, E. Cooper, A. Sethy, C.
  6. KERNELIZED LOG LINEAR MODELS FOR CONTINUOUS SPEECH RECOGNITION…

    mi.eng.cam.ac.uk/~mjfg/Kernel/sxz20_icassp13.pdf
    27 Mar 2013: Here, the HMM parameters λ associatedwith the kernel k are modified to represent the target acousticenvironment [20]. ... To compare with previouslypublished results, this paper follows the same setup in [20],including the configurations of MFCCs and
  7. paper.dvi

    mi.eng.cam.ac.uk/~mjfg/flego_icassp12.pdf
    13 Jun 2013: The same trends phone-. System A B C D avgVAT 8.1 13.5 11.6 20.5 15.98.
  8. draft21.dvi

    mi.eng.cam.ac.uk/~mjfg/ASRU13.pdf
    7 Nov 2013: Pashto 104 12 44 20 28 20. Turkish 105 10 42 26 19. ... and Language Processing, vol. 20, no. 3, pp. 875–887, 2012. [31] S.
  9. 13 Jun 2013: The model alsoallows for continuous features to be represented using spline featurefunctions [20], which have been shown to yield good performancefor confidence estimation with CRFs in previous work [16]. ... 45, no. 1-3, pp. 503–528, Aug. 1989. [20]
  10. 13 Jun 2013: Thesampling process of all other parameters is similar to the meth-ods discussed in [14, 19, 20]. ... 9, no. 2, pp. 249–265, 2000. [20] Carl Edward Rasmussen and Zoubin Ghahramani, “Infinite mix-tures of Gaussian process experts,” in NIPS, 2001, pp.
  11. paper.dvi

    mi.eng.cam.ac.uk/~mjfg/wang_is2012.pdf
    13 Jun 2013: add. — VTS RVTSJ. —clean 7.1 6.9 7.3rest. 60.0 19.5 20.0.
  12. EFFICIENT DECODING WITH GENERATIVE SCORE-SPACESUSING THE EXPECTATION…

    mi.eng.cam.ac.uk/~mjfg/Kernel/van_dalen-2013-efficient_decoding.pdf
    27 Mar 2013: 20, no. 2, pp. 551–564, Feb2012. [11] Mehryar Mohri, “Semiring frameworks and algorithms forshortest-distance problems,” Journal of Automata, Languagesand Combinatorics, vol. ... 20] A. Ragni and M.J.F. Gales, “Derivative kernels for noise
  13. 13 Jun 2013: p(yt|s, m, Mx, Mc, Mspk) |A(s)spk| (20). N(. A(s)spk(Actyt bct) b.
  14. Department of Engineering 1 Generative Kernels and Score-Spaces…

    mi.eng.cam.ac.uk/~mjfg/Kernel/rcv25_2013_y2.pdf
    9 Sep 2013: exp(αTφ(O(r),w). ))]. (20). is criterion can be maximised with a form of expectation–maximisation. ... l20 1.69 1.43 1.01 1.46 1.20 0.80 1.57 1.42 0.96 1.57 1.46 1.0315 2.36 1.95 1.28
  15. Department of Engineering 1 E�cient decodingwith continuous rational…

    mi.eng.cam.ac.uk/~mjfg/Kernel/van_dalen-2012-tr-efficient_score-spaces.pdf
    27 Mar 2013: e weight for arcs e then becomes. w[e;λ] ,〈l[e;λ] ,λl[e;λ]〉. (20). ... For generativemodels with (“vts’) and without (“vat”) adaptive training this gives an improvementclose to 20 % relative.

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