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10 Oct 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.

30 Mar 2007: In theplane of the images, the offset is found using standard image registration and motion trackingtechniques [2, 24].

22 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

30 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.

10 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

16 Nov 2007: 2.4.1.2 Minimum Phone Error (MPE) 23. 2.4.1.3 Minimum Classification Error (MCE) 24. ... 2.4.2 Weak-Sense Auxiliary Function and Parameter Re-estimation 24. 2.5 Bayesian Training of HMMs 29.

16 Nov 2007: 2.3 Limitations of HMMs for Speech Recognition 24. 2.3.1 Explicit Temporal Correlation Modelling 25.

19 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.

20 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.

22 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.