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Discriminative Models for Speech Recognition Mark Gales 1 February ...
mi.eng.cam.ac.uk/~mjfg/talk_ita.pdf22 Feb 2007: 3-emitting state HMMs. ClassifierTraining Componentsλ α 10 20. HMM ML – 29.4 27.3C-Aug ML CML 24.2 –. HMM MMI – 25.3 24.8C-Aug MMI CML 23.4 –. -
Unsupervised Language Model Adaptation for Mandarin…
mi.eng.cam.ac.uk/reports/svr-ftp/mrva_icslp06.pdf20 Jan 2007: Test set baseline N-gram adaptfixed weights dynamic weights. dev05bcm (BC) 25.6 24.5eval04 (BN) 14.7 14.8dev04f (BN) 6.4 6.5. ... P3 27.4 25.6 24.5 24.3 24.3. Table 3: P2, P3 stage dev05bcm CERs. -
UNSUPERVISED TRAINING FOR MANDARIN BROADCAST NEWS AND…
mi.eng.cam.ac.uk/~mjfg/wang_ICASSP07.pdf22 Jun 2007: SystemData bcmdev05. Select. ML MMI MPE. S0 — 29.2 26.7 25.3S1 — 26.1 23.3 21.8S2a — 27.7 25.9 24.7S2b CN08 27.9 25.8 ... 8S3a — 27.7 — 24.8S3b CN08 28.0 — 24.7. -
Discriminative Models for Speech RecognitionM.J.F. Gales Cambridge…
mi.eng.cam.ac.uk/~mjfg/mjfg_ita.pdf22 Feb 2007: Nowthe features associated with the acoustic data are. Ta(O1:T , w) = φ(O1:T ; λ) (24). ... 24] G. Saon, D. Povey, and G. Zweig, “CTS decoding improvementsat IBM,” in EARS STT workshop, St. -
UNSUPERVISED TRAINING FOR MANDARIN BROADCAST NEWS AND…
mi.eng.cam.ac.uk/research/projects/AGILE/publications/wang_ICASSP07.pdf10 Oct 2007: SystemData bcmdev05. Select. ML MMI MPE. S0 — 29.2 26.7 25.3S1 — 26.1 23.3 21.8S2a — 27.7 25.9 24.7S2b CN08 27.9 25.8 ... 8S3a — 27.7 — 24.8S3b CN08 28.0 — 24.7. -
K. Yu, M.J.F. Gales and P.C. Woodland Cambridge University ...
mi.eng.cam.ac.uk/research/projects/AGILE/publications/yu-interspeech07.pdf10 Oct 2007: ML MPE ML MPE. S0 15.1 13.6 29.3 25.40.00 13.8 12.0 27.7 24.80.80 13.5 11.7 26.9 ... Conf. bnmdev06 bcmdev05Thresh. ML MPE ML MPE. 0.00 13.8 12.0 27.7 24.80.76 13.6 11.8 27.5 24.30.80 13.5 11.7 -
Discriminative Models for Speech RecognitionM.J.F. Gales Cambridge…
mi.eng.cam.ac.uk/~mjfg/mjfg_ita_margin.pdf30 May 2007: t=1. (γjm(t)/cjm γj (t)) (23). and. γjm(t) = P (qt = sjm|O1:T ; λ) (24). ... Thomas, U.S. Virgin Islands,December 2003. [24] A. Stolcke, E. Brill, and M. -
journal.dvi
mi.eng.cam.ac.uk/~mjfg/kcs_csl.pdf4 Apr 2007: Vector linear prediction (VLP) is also a trajectory model [24], where the stateoutput probability of ot is conditionally independent of other parameters giventhe current state, qt, and observation dependencies, Ht. ... In addition, a novel. 24. approach -
ROTATIONAL MOTION INSENSORLESS FREEHAND 3D ULTRASOUND R. J. Housden,…
mi.eng.cam.ac.uk/reports/svr-ftp/housden_tr587.pdf5 Oct 2007: Ultrasonic Imaging, 24(1):1–12, January 2002. [14] L. Mercier, T. Langø, F. ... Ultrasound inMedicine and Biology, 24(9):1243–1270, December 1998. [18] M. O’Donnell and S. -
IEEE Proo f IEEE TRANSACTIONS ON AUDIO, SPEECH, AND ...
mi.eng.cam.ac.uk/~mjfg/kai_ASP06.pdf4 Apr 2007: The log prior may be expressed as. (24). where is the general form defined in (15). ... 24] M. J. F. Gales, “Acoustic factorization,” presented at the ASRU Conf.,2001. -
PREDICTIVE LINEAR TRANSFORMS FOR NOISE ROBUST SPEECH RECOGNITION…
mi.eng.cam.ac.uk/~mjfg/gales_ASRU07.pdf15 Aug 2007: r)b. ”A(r)T. ”(24). 4. Goto 2 unless converged, or maximum number of iterations.It is possible to stop the estimation at various stages. -
Recent Progress in Large Vocabulary ContinuousSpeech Recognition: An…
mi.eng.cam.ac.uk/~mjfg/icassp06_tutorial.pdf22 Feb 2007: 20. 25. 30. Cambridge UniversityEngineering Department. ICASSP 2006 Tutorial 24. Recent Progress in LVCSR: An HTK Perspective cMark Gales & Phil Woodland, 2006. ... generate a lattice when recognising the adaptation data– accumulate statistics over the -
Real-time Freehand 3D Ultrasound Calibration P-W. Hsu, R. W. ...
mi.eng.cam.ac.uk/reports/svr-ftp/hsu_tr565.pdf19 Feb 2007: H. Berman. Engineering a freehand 3D ultrasoundsystem. Pattern Recognition Letters, 24:757–777, 2003. ... Ultrasound in Medicine & Biology, 24(6):855–869, 1998. R. W. Prager, A. -
CAMBRIDGE UNIVERSITY ENGINEERING DEPARTMENT TRANSFORMATION STREAMS…
mi.eng.cam.ac.uk/~mjfg/mjfg_csl.pdf3 May 2007: dropped. 9. where. c(i) = c(m)c(k) (23)µ(i) = A(m)1(µ(k) b(m)) (24)Σ(i) = A(m)1Σ(k)A(m)T1 (25). ... 24] J Pearl. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference.Morgan Kaufmann, 1988. -
Non-rigid Photometric Stereo with Colored Lights Carlos Herńandez1…
mi.eng.cam.ac.uk/research/projects/VideoNormals/NonRigidPhotometricStereoWithColoredLights_iccv2007.pdf16 Aug 2007: The weights control how mucheach jointi affects the transformation of the vertex [24]. ... Eurographics EG’05),24(3):439–448, Aug. 2005.1, 2. [22] S. Seitz, B. Curless, J. -
HYBRID SYSTEMS FORRECONSTRUCTION OF FREEHAND 3D ULTRASOUND DATA R. ...
mi.eng.cam.ac.uk/reports/svr-ftp/housden_tr574.pdf30 Mar 2007: In theplane of the images, the offset is found using standard image registration and motion trackingtechniques [2, 24]. -
AN INTELLIGENT INTERFACEFOR FREEHAND STRAIN IMAGING J. E. Lindop, ...
mi.eng.cam.ac.uk/reports/svr-ftp/lindop_tr578.pdf25 May 2007: imaging was first tested clinically for breast scanning [4] and breast screeninghas ever since been a key driver for research [7, 23, 24]. ... Berman. Engineering a freehand 3D ultrasound system.Pattern Recognition Letters, 24(4–5):757–777, February -
IEEE TRANS. ON SAP, VOL. ?, NO. ??, ????? ...
mi.eng.cam.ac.uk/~mjfg/kai_ASP07.pdf23 Apr 2007: It is also interesting to compare N-Best supervisionto the standard 1-Best supervision adaptation approaches suchas iterative MLLR [24]. ... Zθ(O, H)can be simply calculated using the forward algorithm withp̃(ot|θt),. Zθ(O, H) =. θ. P (θ|M). t. -
JOURNAL OF IEEE TRANS. ACOUST., SPEECH, SIGNAL PROCESSING, JULY ...
mi.eng.cam.ac.uk/research/projects/AGILE/publications/sim_SAP06.pdf10 Oct 2007: 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). -
tech.dvi
mi.eng.cam.ac.uk/~mjfg/liao_tr552.pdf21 Sep 2007: This noise robustness DBN has been used as a framework for uncertainty decoding [7, 24]. ... µ0µ. (m)2x (24). Σ(m)2y diag. {. y. x. µ0Σ. (m)2x. y.
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