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UNSUPERVISED TRAINING FOR MANDARIN BROADCAST NEWS AND…
mi.eng.cam.ac.uk/~mjfg/wang_ICASSP07.pdf22 Jun 2007: Table 3 shows the P1-P2 perfor-mance3 of these baseline models on the BC and BN tests sets. ... Table 6. Unadapted %CER onbcmdev05. The models were then evaluated on the BC test set,bcmdev05. -
Unsupervised Language Model Adaptation for Mandarin…
mi.eng.cam.ac.uk/reports/svr-ftp/mrva_icslp06.pdf20 Jan 2007: All the test sets comprise ofshows where a show is a broadcast of a TV or radio program. ... 3.4. Results. The tests were carried out on a BC test set (dev05bcm: 3 hours,30k words, 5 shows) and two BN test sets (eval04: 1.3 hours, 11kwords, 3 -
paper.dvi
mi.eng.cam.ac.uk/~mjfg/liao_ICASSP07.pdf15 Aug 2007: Thispaper shows that multistyle models benefit from VTS compensationor Joint uncertainty decoding by reducing the mismatch betweentraining and test. ... Figures are reported against thedev03 test set encompassing3 hours of shows from six different news -
IEEE Proo f IEEE TRANSACTIONS ON AUDIO, SPEECH, AND ...
mi.eng.cam.ac.uk/~mjfg/kai_ASP06.pdf4 Apr 2007: For all systems, the test setsupervision was generated using the MPE-SI models. ... In the following experiments, pairwise significance test wasdone using NIST provided software - , where signifi-cance tests were using a standard approach [25]. -
UNSUPERVISED TRAINING FOR MANDARIN BROADCAST NEWS AND…
mi.eng.cam.ac.uk/research/projects/AGILE/publications/wang_ICASSP07.pdf10 Oct 2007: Table 3 shows the P1-P2 perfor-mance3 of these baseline models on the BC and BN tests sets. ... Table 6. Unadapted %CER onbcmdev05. The models were then evaluated on the BC test set,bcmdev05. -
SPEECH RECOGNITION SYSTEM COMBINATION FOR MACHINE TRANSLATION M.J.F.…
mi.eng.cam.ac.uk/~mjfg/gales_ICASSP07.pdf22 Jun 2007: For theBN test set, cross-adaptation in either direction gave gains of about0.5% absolute over the best individual system. ... The first half of this test set was used for tuning the translation. -
Discriminative Models for Speech Recognition Mark Gales 1 February ...
mi.eng.cam.ac.uk/~mjfg/talk_ita.pdf22 Feb 2007: Classification error on the TIMIT core test set. • -
PREDICTIVE LINEAR TRANSFORMS FOR NOISE ROBUST SPEECH RECOGNITION…
mi.eng.cam.ac.uk/~mjfg/gales_ASRU07.pdf15 Aug 2007: Each ofthe 16 conditions also has a test set of a 1001 sentences with 52male and 52 female speakers. ... Exact and Approximate matrix inversion for PCMLLR onAURORA 2 test set A, averaged across N1-N4, WER(%). -
K. Yu, M.J.F. Gales and P.C. Woodland Cambridge University ...
mi.eng.cam.ac.uk/research/projects/AGILE/publications/yu-interspeech07.pdf10 Oct 2007: 3.3. Test datasets. The test sets used to evaluate the systems are bnmdev06 and bcmdev05.bnmdev06 comprises 3.6 hours of data taken from a range of BNsources. ... It includes some of the standard existing test sets describedin [10], dev04f, eval03m and -
SPEECH RECOGNITION SYSTEM COMBINATION FOR MACHINE TRANSLATION M.J.F.…
mi.eng.cam.ac.uk/research/projects/AGILE/publications/gales_ICASSP07.pdf10 Oct 2007: For theBN test set, cross-adaptation in either direction gave gains of about0.5% absolute over the best individual system. ... The first half of this test set was used for tuning the translation.
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