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IEEE TRANS. ON SAP, VOL. ?, NO. ??, ????? ...
mi.eng.cam.ac.uk/research/projects/AGILE/publications/mjfg_ASL.pdf23 Feb 2006: Gales et al.: THE CUED BROADCAST NEWS TRANSCRIPTION SYSTEM 7. developing the Cambridge 10RT broadcast news system in1998 [24]11. ... 0.16 0.18 0.2 0.22 0.24 0.2612. 14. 16. 18. 20. 22. -
JOURNAL OF IEEE TRANS. ACOUST., SPEECH, SIGNAL PROCESSING, JULY ...
mi.eng.cam.ac.uk/~mjfg/sim_SAP06.pdf22 Nov 2006: The set of parameters,Θ(sm),. 1Using this form of auxiliary function yields the same update formulae asusing the extended Baum-Welch (EBW) algorithm [24], [25]. ... Wmpem =B2D. 2m B1Dm B0β. (c)m Dm. (23). where. B2 = Σ̂m (24). -
Semi-supervised Learning of Joint DensityModels for Human Pose…
mi.eng.cam.ac.uk/reports/svr-ftp/navaratnam_semi_supervised.pdf14 Sep 2006: ln = 40.80RMS= 24.85. ln = 78.35RMS= 26.56. ln = 98.72RMS = 12.67. ... ln = 30.47RMS= 13.12. ln = 54.29RMS= 24.98. Figure 6:Pose Detection:This illustrates results from applying the GMM learnt from 8k marginaland 2k joint data points with 50 -
MODEL-BASED TECHNIQUES FORNOISE ROBUST SPEECH RECOGNITION Mark John…
mi.eng.cam.ac.uk/~mjfg/thesis.pdf5 Jun 2006: 233.2.4 State-Based Speech Enhancement. 24. 3.3 Model-Based Techniques. 243.3.1 Linear Regression Adaptation. ... Ljm(τ ) = p(qjm(τ )|YT , M) (2.24)=. 1L(YT |M) Uj (τ )cjmbjm(y(τ ))βj (τ ). where. Uj (τ ) =. . a1j , if τ = 1N1i=2. -
PHASE-BASED ULTRASONICDEFORMATION ESTIMATION J. E. Lindop, G. M.…
mi.eng.cam.ac.uk/reports/svr-ftp/lindop_tr555.pdf25 May 2006: Thus with no loss of accuracy Equation 9 isrewritten in the form of Equation 24. -
IEEE TRANS. ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2007 ...
mi.eng.cam.ac.uk/~mjfg/gales_ASL.pdf22 Nov 2006: In addition to training GI models for BN systems theuse of Gender Dependent (GD) models has been found tobe advantageous [24]. ... 0.16 0.18 0.2 0.22 0.24 0.2612. 14. 16. 18. 20. 22. -
pami04.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/hernandez_pami06.pdf19 Sep 2006: 3b. A simple way of measuring the silhouette coherence using theconcept of visual hull [24] is. ... pp. 245–262, 2001. [24] A. Laurentini, “The visual hull concept for silhouettebased image understanding,”IEEE Trans. -
thesis.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/nock_thesis.pdf14 Jun 2006: 145]; an empirical comparisonof techniques is provided by [24]. The N-gram model captures only local constraints and ignores higher-level structure.Many more sophisticated models have been investigated. -
IEEE TRANS. ON SAP, VOL. ?, NO. ??, ????? ...
mi.eng.cam.ac.uk/~mjfg/liu_ASL07.pdf22 Nov 2006: This sensitivity to outliers is a well known feature of the MMI criterion [24]. ... j))}. (24). Each Gaussian component is assumed to be independent of all others. -
Face Recognition from Video using the GenericShape-Illumination…
mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_ECCV06.pdf17 Feb 2006: 24]). Briefly, we estimate multivariate Gaussian components using the ExpectationMaximization (EM) algorithm [14], initialized by k-means clustering. ... appearance. IJCV, 14:5–24, 1995.34. S. Palanivel, B. S. Venkatesh, and B Yegnanarayana.
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