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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.

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.

22 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 –.

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.

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

4 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

4 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.

23 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.

3 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.