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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. -
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. -
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. -
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 -
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 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. -
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. -
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. -
IEEE TRANS. ON SAP, VOL. ?, NO. ??, ????? ...
mi.eng.cam.ac.uk/research/projects/AGILE/publications/liu_ASL07.pdf10 Oct 2007: 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. -
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.
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