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K. Yu, M.J.F. Gales and P.C. Woodland Cambridge University ...
mi.eng.cam.ac.uk/~mjfg/yu-interspeech07.pdf11 Jan 2008: 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 LANGUAGE MODEL ADAPTATION FORMANDARIN BROADCAST SPEECH …
mi.eng.cam.ac.uk/~mjfg/liu-asru07.pdf11 Jan 2008: CNN 7.24 12.73 20.48 224.2. Table 5. Model size and text source for English component LMs. ... Adapt Int InitTER%. bnmd06 bcmd05 eval06fixed lin - 72.24 75.28 80.46. -
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mi.eng.cam.ac.uk/~mjfg/yu-asru05.pdf11 Jan 2008: γm(t)ot. )(24). γm(t) is the component posterior derived from P (θ|O, H, λ̂k1).For the frame independent assumption it is necessary to obtain. ... where G and k are the standard sufficient statistics given in equa-tions 23 and 24, except that γm(t) -
Augmented Statistical Models for Classifying Sequence Data Martin…
mi.eng.cam.ac.uk/~mjfg/thesis_ml362.pdf16 Jan 2008: 2.2.2 Hidden conditional random fields (HCRFs). 24. 2.2.3 Parameter estimation for conditional models. -
A QUALITY-GUIDED DISPLACEMENTTRACKING ALGORITHM FOR ULTRASONIC…
mi.eng.cam.ac.uk/reports/svr-ftp/chen_tr593.pdf17 Jan 2008: Among several techniques for displacement estimation [12, 24], correlation maximization wasthe first to be proposed and remains the most widely used [16]. ... As p1 is the only point ready for processing,it is selected and fed into any suitable -
Bitext Alignment for Statistical Machine Translation
mi.eng.cam.ac.uk/~wjb31/ppubs/YDengDefenseDec05.pdf16 Feb 2008: 20. 21. 22. 23. 24. 25. Coverage. eval02eval03eval04. 1 2 3 4 523.2. ... 23.4. 23.6. 23.8. 24. 24.2. 24.4. 24.6. 24.8. 25. 25.2. BLEU. -
Minimum Bayes-Risk Techniques forAutomatic Speech Recognition and…
mi.eng.cam.ac.uk/~wjb31/ppubs/SKumarPhDefense2004.pdf16 Feb 2008: Minimum Bayes-Risk Classifiers for Machine Translation. Conclusions and Future Work. MBR Techniques in Automatic Speech Recognition and Machine Translation – p.24/33. -
- + Code Breaking for Automatic Speech ...
mi.eng.cam.ac.uk/~wjb31/ppubs/VenkataramaniThesisTalk05.pdf16 Feb 2008: Code Breaking for Automatic Speech Recognition 24 |35). < > -. Studying Segment Set Pruning. Towards studying the ability of lattice pinching in. -
Automatic Speech Recognition and Statistical Machine Translation…
mi.eng.cam.ac.uk/~wjb31/ppubs/LMathiasDefenseDec07.pdf16 Feb 2008: 32. 34. 36. 38. 40. 42. 44. 8 10 12 14 16 18 20 22 24. ... Lambert Mathias 24 / 43. MotivationProblem Definition. Discriminative Objective functionGrowth Transformations for MT. -
Bitext Alignment forStatistical Machine Translation Yonggang Deng A…
mi.eng.cam.ac.uk/~wjb31/ppubs/YDengDissertationDec05.pdf16 Feb 2008: Bitext Alignment forStatistical Machine Translation. Yonggang Deng. A dissertation submitted to the Johns Hopkins University in conformity with the. requirements for the degree of Doctor of Philosophy. Baltimore, Maryland. 2005. Copyright c 2005 by
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