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A HIGH-PERFORMANCE CANTONESE KEYWORD SEARCH SYSTEM
mi.eng.cam.ac.uk/~mjfg/ICASSP13_ibm2.pdf13 Jun 2013: The second application of sum-to-one normalization op-timizes the term-weighted value for queries with different frequen-cies of occurrence. -
An Explicit Independence Constraint for Factorised Adaptation in…
mi.eng.cam.ac.uk/~mjfg/wang_is2013.pdf13 Jun 2013: c)n are needed,. which can be estimated from adaptation data. This factorisedadaptation is possible due to the independence between twofactor transforms, as explained in the magnifier: when the op-erating ... The constraint inEq. (4) implies that for any -
Department of Engineering 1 Generative Kernels and Score-Spaces…
mi.eng.cam.ac.uk/~mjfg/Kernel/rcv25_2013_y2.pdf9 Sep 2013: σ ,. 〈logl,. αTλll. 〉. (16). Notice that the last element of the tuple now is a scalar value, which makes the op-erations and (which are similar to (15) and straightforward to -
draft21.dvi
mi.eng.cam.ac.uk/~mjfg/ASRU13.pdf7 Nov 2013: designed to optimise KWS performance. They are therefore not op-. timal in terms of raw STT performance, for example currently the. -
EFFICIENT DECODING WITH GENERATIVE SCORE-SPACESUSING THE EXPECTATION…
mi.eng.cam.ac.uk/~mjfg/Kernel/van_dalen-2013-efficient_decoding.pdf27 Mar 2013: op-timal segmentation into words, the features are found in amortisedconstant time. -
IB-descriptors.dvi
mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2013-IB-handout3.pdf13 May 2013: The way to achieve this robustness is to utilize in-terest points in computing the descriptor as op-posed to the raw image data. -
paper.dvi
mi.eng.cam.ac.uk/~mjfg/flego_icassp12.pdf13 Jun 2013: described. The latter is then extended to provideDVAT and a KL divergence-based method is proposed to op-timise the generative model parameters. ... How-ever, after several iterations, both approaches provided similarWERs. Though the current -
paper.dvi
mi.eng.cam.ac.uk/~mjfg/wang_icassp13.pdf13 Jun 2013: Section 3 discusses op-tions to adapt TANDEM systems. Experiment and results arediscussed in section 4 with the conclusions in section 5.
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