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20 Nov 2007: Powerfulintermediate-resolution models have also provided the op-portunity to study larger systems and longer timescales(Nguyen and Hall, 2004; Borreguero et al., 2005; Nguyenand Hall, 2006; Pellarin and Caflisch, 2006;

16 Nov 2007: Op-Room noise for noise matched models retrained with corrupted training data 119. ... ment a clean speech system on RM task corrupted with Op-Room noise at 18dB.

16 Nov 2007: Discriminative Complexity Control. and Linear Projections for Large. Vocabulary Speech Recognition. Xunying Liu. Clare Hall. University of Cambridge. September 2005. Dissertation submitted to the University of Cambridge. for the degree of Doctor of

16 Nov 2007: Linear Gaussian Models for. Speech Recognition. Antti-Veikko Ilmari Rosti. Wolfson College. May 2004. Dissertation submitted to the University of Cambridge. for the degree of Doctor of Philosophy. ii. Declaration. This dissertation is the result of

16 Nov 2007: Adaptive Training for. Large Vocabulary Continuous. Speech Recognition. Kai Yu. Hughes Hall College. and. Cambridge University Engineering Department. July 2006. Dissertation submitted to the University of Cambridge. for the degree of Doctor of

16 Nov 2007: ". #$! % &! '$#%. ( )& #-,.-. /1032546087:9<;>=@?AB08CEDGF@HJIK2>4. LNMPORQTSVUWXSLNY[ZTZT][. _PUabcdOfehgig[j. kmlonpnKqsrptpuvtplowyxznp{-|}ltKtKqwVrtp-q. kdqsVrpqsq@wVikdwtKwVrwV[_lowynKwVa. "!#$% '&)( ,-. /.

10 Oct 2007: Thus the C2W segmentations differed. Interms of hypotheses combination there are two possible levels to op-erate at.

10 Oct 2007: The selected data are addedto the original training dataset to update the acoustic model and op-tionally the language model [3, 1, 4].

10 Oct 2007: ep. op. ula. tio. nm. ean. for. tho. setr. aits. wh. ... fth. ep. op. ula. tio. nm. ean. c A. nti. bac.

10 Oct 2007: These markers provide the op-portunity of rapidly generating hundreds of polymorphicmarkers at low cost.