Search

Search Funnelback University

Search powered by Funnelback
10 results 20 results 50 results
Relevance Date (Newest first) Date (Oldest first) Title (A-Z) Title (Z-A) Distance URL (A-Z) URL (Z-A) Shuffle
1 - 10 of 11 search results for katalk:PC53 24 / |u:mi.eng.cam.ac.uk where 0 match all words and 11 match some words.

  1. Results that match 1 of 2 words

  2. Infinite Support Vector Machines in Speech Recognition Jingzhou Yang, …

    mi.eng.cam.ac.uk/~mjfg/yang_is2013.pdf
    13 Jun 2013: Better performance couldbe achieved by gradually increasing C. Equation (16) is also known as the training criterion ofthe structural SVM [23, 24]. ... ACM, 2004. [24] Shi-Xiong Zhang and Mark Gales, “Structured SVMs for auto-matic speech

  3. KERNELIZED LOG LINEAR MODELS FOR CONTINUOUS SPEECH RECOGNITION…

    mi.eng.cam.ac.uk/~mjfg/Kernel/sxz20_icassp13.pdf
    27 Mar 2013: 8 1.710 4.4 3.6 3.5 3.3 3.205 11.2 9.2 8.9 8.8 8.400 29.6 25.1 24.9 24.1 ... Speech Lang.,vol. 24, no. 4, pp. 648–662, 2010. [21] H. Liao and M.

  4. A HIGH-PERFORMANCE CANTONESE KEYWORD SEARCH SYSTEM

    mi.eng.cam.ac.uk/~mjfg/ICASSP13_ibm2.pdf
    13 Jun 2013: with 24% speaking the Central Guangdong, 20%the Northern Pearl River Delta, 19% the Southern Pearl River Delta,19% the Guangxi and Western Guangdong, and 18% the NorthernGuangdong dialects. ... System combination is performed using an

  5. paper.dvi

    mi.eng.cam.ac.uk/~mjfg/wang_icassp13.pdf
    13 Jun 2013: 2011, pp. 24–29, Ieee. [13] M. J. F. Gales and F.

  6. paper.dvi

    mi.eng.cam.ac.uk/~mjfg/wang_is2012.pdf
    13 Jun 2013: RVTSJ 14.9 29.6 18.3 43.6 26.6RAT RVTSJ 13.7 28.5 15.0 42.2 24.9.

  7. SYSTEM COMBINATION AND SCORE NORMALIZATION FOR SPOKEN TERM DETECTION

    mi.eng.cam.ac.uk/~mjfg/ICASSP13_ibm1.pdf
    13 Jun 2013: Ney LM with optimized discounting parameters [24] usinga modified version of the RWTH open source decoder [25]; and (6)DBN, a deep belief network hybrid model [26, 27] with discrimi-native ... Ney, “Posterior-scaled mpe: Novel discriminative

  8. draft21.dvi

    mi.eng.cam.ac.uk/~mjfg/ASRU13.pdf
    7 Nov 2013: procedure described in [24]. Unilingual and multilingual AMs were. each built from a flat start. ... 24] J. Park et al., “The Efficient Incorporation of MLP Fea-.

  9. IB-interestpoints.dvi

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2013-IB-handout2.pdf
    10 May 2013: 24 Engineering Part IB: Paper 8 Image Matching. Interest Point Detection - Blobs.

  10. EFFICIENT DECODING WITH GENERATIVE SCORE-SPACESUSING THE EXPECTATION…

    mi.eng.cam.ac.uk/~mjfg/Kernel/van_dalen-2013-efficient_decoding.pdf
    27 Mar 2013: 0s,0. 01s,0ei:o1/.96. 01s,1. ei:o1/.24. 02s,1t:o2/.4. 02s,2. t:o2/.4. 03s,1t:o3/.5. 03s,2. t:o3/.5. ... 24, no. 4, pp. 648–662, 2010. [6] A. Ragni and M.

  11. Department of Engineering 1 Generative Kernels and Score-Spaces…

    mi.eng.cam.ac.uk/~mjfg/Kernel/rcv25_2013_y2.pdf
    9 Sep 2013: w(r′)). (24). Normally, the results of the kernel function applied to each pair of training data pointsare used as entries of the Gram matrixG. ... 3.2.1 Form of kernel. e general form of the kernel in (24) relates two utterances and corresponding

Refine your results

clear all

Date

Search history

Recently clicked results

Recently clicked results

Your click history is empty.

Recent searches

Recent searches

Your search history is empty.