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Generation and Combination ofComplementary Systems for Automatic…
mi.eng.cam.ac.uk/~mjfg/thesis_cb404.pdf9 Jul 2008: varying signals [8], and has since formed the basis of many ASR systems.An HMM is a finite state machine, where the entry to each state has an associated outputdistribution, -
The State Based Mixture of Experts HMM with Applications ...
mi.eng.cam.ac.uk/reports/svr-ftp/tuerk_thesis.pdf2 Feb 2002: The State Based Mixture of Experts HMM. with Applications to the. Recognition of Spontaneous Speech. Andreas Tuerk. Emmanuel College. and. Cambridge University Engineering Department. September 2001. Dissertation submitted to the University of -
Lattice Rescoring Methods forStatistical Machine Translation Graeme…
mi.eng.cam.ac.uk/~wjb31/ppubs/gwbthesis2010.pdf6 Oct 2010: Lattice Rescoring Methods forStatistical Machine Translation. Graeme Blackwood. Cambridge University Engineering Departmentand. Clare College. Dissertation submitted to the University of Cambridgefor the degree of Doctor of Philosophy. -
Uncertainty Decoding forNoise Robust Speech Recognition Hank Liao…
mi.eng.cam.ac.uk/~mjfg/thesis_hl251.pdf17 Sep 2008: Uncertainty Decoding forNoise Robust Speech Recognition. Hank Liao. Sidney Sussex CollegeUniversity of Cambridge. September 2007. This dissertation is submitted for the degree ofDoctor of Philosophy to the University of Cambridge. Declaration. This -
Int J Comput VisDOI 10.1007/s11263-012-0563-2 A Performance…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2012-IJCV-3D-interestpoints.pdf13 Mar 2018: The proposed combinedscore is computed based on repeatability ratio with respectto varying accuracy requirements. ... For each detector, the detected. Table 3 For each entry, top to bottom: The average number of interestpoints detected, the average -
PROBABILISTIC ACOUSTIC MODELLING FOR PARAMETRIC SPEECH SYNTHESIS Sean …
mi.eng.cam.ac.uk/~wjb31/ppubs/shannon2014probabilistic-thesis.pdf2 Feb 2015: Here the parameter corresponding to y 7 yd is theentry bd of the b-value b, and the parameter corresponding to y 712ydye is the entry Pdeof the precision matrix P. -
Linear Gaussian Models for Speech Recognition
mi.eng.cam.ac.uk/reports/svr-ftp/rosti_thesis.pdf8 Oct 2004: The diagram, adopted from. the hidden Markov model toolkit (HTK) [130], has non-emitting entry and exit states, and. ... The transitions from the non-emitting entry state are re-. estimated by â1j = γj(1) for 1 < j < Ns and the transitions from the -
Department of Engineering 1 Generative Kernels and Score-Spaces…
mi.eng.cam.ac.uk/~mjfg/Kernel/rcv25_2013_y2.pdf9 Sep 2013: Requirements on the typesof weights that can be used in weights automata are well-established (Mohri 2009). ... Formany algorithms, including the forward algorithm, the requirement is that the weightsare in a semiring. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/niesler_tr281.pdf9 Aug 2005: The size of the tentative-list is of prime practical importance during first-pass processing, since each entry requires significantlymore storage than in the fixed-list. ... $% &(' () %%-,. / 0 %h11of the model has low memory requirements, the technique -
Named Entity Recognition from Speechand Its Use in the ...
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/kim_thesis.pdf9 Aug 2005: of the requirement for the degree of Doctor of Philosophy. Abstract Page 1. ... requirements, absence of need for less-descriptive models as in back-off [54], and its easy ex-. -
Sparse and Semi-supervised Visual Mapping with the S3GP Oliver ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2006-CVPR-Williams-sparse.pdf13 Mar 2018: the proportional decrease inthis requirement means that gaze tracking at 10–15Hz con-stitutes a “background task” leaving the majority of cyclesfree for other processes. ... If this paper is accepted forpresentation at CVPR, text entry with S3GP -
Refining Architectures of Deep Convolutional Neural Networks Sukrit…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2016-CVPR-refining-CNN.pdf13 Mar 2018: Entry of (1,1) implies no stretchand splitting should be done. In Fig 5, for DR-1 , every value of b is made 1, while for DR-2 , every value of ... Ifthat test image has say 5 positive labels in ground-truth an-notations, we expect the first 5 entries of -
Reducing Word Error Rates of Found Speech -XPERT Tool ...
mi.eng.cam.ac.uk/reports/svr-ftp/johnson_tr330.pdf10 Apr 2000: This report outlines the design requirements of the browser and briefly describes the tasks used herein section 2, explains how to use xpert in section 3, shows some of the results ... Problem: Pronunciations variants missing from the dictionary:Causes: -
tech.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/hsu_tr584.pdf5 Sep 2008: The main disadvantage of this phantomis the requirement to align the phantom with the point fiducials, which can be very difficult.An advantage is that only one frame (N = 1 in ... Other research groups give the variation of thethree calibration -
Non-rigid Photometric Stereo with Colored Lights Carlos Herńandez1…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2007-ICCV-colour-photometric-video.pdf13 Mar 2018: In thepresent work, we avoid this requirement while producingdetailed results. Pilet et al. ... The main difficultywith applying photometric stereo to deforming objects liesin the requirement of changing the light source direction foreach captured frame, -
"Refinements in Hierarchical Phrase-Based Translation…
mi.eng.cam.ac.uk/~wjb31/ppubs/jpino2015HieroRefinementsThesis.pdf6 Feb 2015: Refinements in HierarchicalPhrase-Based. Translation Systems. Juan Miguel Pino. Cambridge University Engineering Department. Dissertation submitted to the University of Cambridge for the degree ofDoctor of Philosophy. Declaration. I hereby declare
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