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1 - 10 of 23 search results for :pc53 24 / |u:mi.eng.cam.ac.uk where 0 match all words and 23 match some words.

  1. Results that match 1 of 2 words

  2. lect1.dvi

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lect1_pres.pdf
    10 Nov 2015: 24 Engineering Part IIB: Module 4F10 Statistical Pattern Processing. Cost of Mis-Classification.

  3. Joint Decoding of Tandem and Hybrid Systems for Improved ...

    mi.eng.cam.ac.uk/~ar527/wang_is2015a.pdf
    3 Jun 2015: Acoustic likeli-hood combination and lattice combination have been comparedin [24]. 1Each entry in the posting list contains a query ID, occurrence time,detection score/confidence, as well as a binary ... ICASSP,2014. [24] P. Swietojanski, A. Ghoshal,

  4. Department of Engineering 1 Monoids: e�cient segmental features…

    mi.eng.cam.ac.uk/~mjfg/Kernel/van_dalen-2013-tr-monoid_features
    17 Apr 2015: λ =. 100.  ; ρ =001. . (24)e word score can then be computed as. ... M. J. F. Gales and F. Flego (2010). “Discriminative classiers with adaptive kernels fornoise robust speech recognition.” Computer Speech and Language 24 (4)

  5. A LANGUAGE SPACE REPRESENTATION FOR SPEECH RECOGNITION

    mi.eng.cam.ac.uk/~mjfg/icassp15-ragni.pdf
    18 May 2015: There are many options to select the form of rep-resentation of the clusters and the combination method to employ[18, 17, 13, 24, 25]. ... 20, no. 6, pp. 1713–1724, 2012. [24] V. Diakoloukas and V.

  6. Model-based Approaches to Robust SpeechRecognition in Diverse…

    mi.eng.cam.ac.uk/~mjfg/thesis_yw293.pdf
    27 Oct 2015: 21. 2.3.3.2 Discriminative Training. 24. 2.4 Recognition of Speech Using HMMs. ... Normally,. a truncated DCT transform is used, i.e., Lc( 13) is smaller than Lf ( 24) and the high ordercepstral coefficients are discarded.

  7. lect9_pres

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lect9_pres.2up.pdf
    10 Nov 2015: 24 Engineering Part IIB: 4F10 Statistical Pattern Processing. Feature-Space Example. Using the example from the previous slides where.

  8. lect8.dvi

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lect8_pres.pdf
    20 Nov 2015: 34. 24 Engineering Part IIB: 4F10 Statistical Pattern Processing. Feature-Space Example. ... 34. 24 Engineering Part IIB: 4F10 Statistical Pattern Processing. Dimensionality of the Feature Space.

  9. A LANGUAGE SPACE REPRESENTATION FOR SPEECH RECOGNITION A. Ragni, ...

    mi.eng.cam.ac.uk/~ar527/ragni_icassp2015a.pdf
    6 Apr 2015: There are many options to select the form of rep-resentation of the clusters and the combination method to employ[18, 17, 13, 24, 25]. ... 20, no. 6, pp. 1713–1724, 2012. [24] V. Diakoloukas and V.

  10. Improving Speech Recognition and Keyword Searchfor Low Resource…

    mi.eng.cam.ac.uk/~ar527/mendels_is2015a.pdf
    3 Jun 2015: Telugu. VLLP 0.838 57.0Blogs 0.128 2625.6News 0.000 893.0Subtitles 0.024 24.9TED 0.000 18.8. ... 24] Z. Tüske, J. Pinto, D. Willett, and R. Schlüter, “Investigation oncross- and multilingual MLP features under matched and mis-matched acoustical

  11. lect4.dvi

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lect4_pres.pdf
    10 Nov 2015: 24 Engineering Part IIB: Module 4F10 Statistical Pattern Processing. EM Proof (cont).

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