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9 Aug 2005: can be described by a harmonic homology [24]. The next theorem gives a formal. ... fundamental matrix shown in (16) is the scale factor. (24)This parameter can be found, again, by a one-dimensional search that minimizes the.

7 Oct 2009: 24 language model compo-nents were trained, four components from the STT acoustic data, sixwere newswire texts, and the rest were webdata which was mainlycollected at CUED.

8 Aug 2005: 32.5MSM 24 38.9.

9 Aug 2005: relative speed with word-pair grammar. without transitions probabilitieswith transitions probabilities. 24.5.

26 Sep 2005: 23. 4.2 The Conditional Corrupted Speech Distribution. 24. 4.3 Gaussian Mixture Model Approximations. ... of the non-linearity. Alternatively with PMC [24], Gales applies various approximations in the.

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10 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).

7 Oct 2009: 24 source-specific components (4 STTacoustic data sets, 6 newswire sources, and 14 webdata sets)arebuilt and merged.

3 Dec 2008: SI — MLLR 24.3 27.0MLLR MLLR 23.6 26.4. DSAT DLT DLT 18.4 28.1MLLRDMT MLLRDMT 22.5 25.3.

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25 May 2006: Thus with no loss of accuracy Equation 9 isrewritten in the form of Equation 24.

23 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.

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14 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.

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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.

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9 Aug 2005: 24. 4.4 Empirical results. 25. 4.4.1 A wrapper with an accuracy based objective. ... Metrics based on the mutualinformation (see Cover and Thomas[24]) between the features and the target class labels havebeen developed by Battiti[9] and Bonnlander[13].

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