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SVMS, SCORE-SPACES AND MAXIMUM MARGIN STATISTICAL MODELS M.J.F. Gales …
mi.eng.cam.ac.uk/~mjfg/BeyondHMM.pdf15 Jun 2005: This is best illustrated by exam-ining maximum margin training of a univariate Gaussian class-conditional distribution. -
PII: S0167-6393(99)00044-8
mi.eng.cam.ac.uk/~sjy/papers/wiyo00.pdf20 Feb 2018: For exam-ple, the threshold for a phone p can be dened interms of the mean lp and variance rp of all theGOP scores for phone p in the training data,. ... For exam-ple, Fig. 2 shows the resulting network for theword but''. -
Multi-domain Neural Network Language Generation forSpoken Dialogue…
mi.eng.cam.ac.uk/~sjy/papers/wgmr16.pdf20 Feb 2018: 5 Discriminative Training. In contrast to the traditional ML criteria (Equation 1)whose goal is to maximise the log-likelihood of cor-rect examples, DT aims at separating correct exam-ples -
paper.dvi
mi.eng.cam.ac.uk/~mjfg/sxz20_inter11.pdf19 Jan 2012: This paper exam-ines one form of these models, structured support vector ma-chines (SVMs), for noise robust speech recognition. -
lect1.dvi
mi.eng.cam.ac.uk/~mjfg/local/4F10/lect1.pdf10 Nov 2015: Web-Page: http://mi.eng.cam.ac.uk/mjfg/4F10/index.html. Assessment by exam (1.5h): 3 questions from 5. A number of books cover parts of the course material. • -
Discriminative Classifiers with Generative Kernels for Noise Robust…
mi.eng.cam.ac.uk/~mjfg/gales_INTER08.pdf16 Jun 2008: Only these 16 noise conditions are exam-ined in this work as stereo data is not provided for any of theother noise conditions. -
Phrase-based Statistical Language Generation usingGraphical Models…
mi.eng.cam.ac.uk/~sjy/papers/mgjk10.pdf20 Feb 2018: For exam-ple, if reject(area(centre)) was never ob-served at training time, P(r = centre of town|s =reject(area(centre))) will be estimated bybacking off to P(r = -
THE CU-HTK MANDARIN BROADCAST NEWS TRANSCRIPTION SYSTEM R. Sinha, ...
mi.eng.cam.ac.uk/~mjfg/sinha_ICASSP06.pdf22 Nov 2006: For exam-ple, the combination of the S2 and S3 GAUSS systems gave a 0.3%and 0.2% absolute improvements oneval03m and eval04 re-spectively. -
Semantically Conditioned LSTM-based Natural Language Generation…
mi.eng.cam.ac.uk/~sjy/papers/wgms15.pdf20 Feb 2018: lstm). Exam-ple dialogue acts and their top-5 realisations areshown in Table 5. -
Quantitative Evaluation of User Simulation Techniquesfor Spoken…
mi.eng.cam.ac.uk/~sjy/papers/scgy05.pdf20 Feb 2018: Relaxing questions(”Would you also consider another airline?”), for exam-ple, were anticipated by Levin et al.
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