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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. -
Recent Progress in Large Vocabulary ContinuousSpeech Recognition: An…
mi.eng.cam.ac.uk/~mjfg/icassp06_tutorial.pdf22 Feb 2007: Require good generalisation– Can reduce training set error rate: need to reduce test-set errors!– Need to keep gains with large numbers of parameters– Need to increase “confusable” data for training– ... simple ASR systems - larger gains– -
Discriminative Models for Speech RecognitionM.J.F. Gales Cambridge…
mi.eng.cam.ac.uk/~mjfg/mjfg_ita.pdf22 Feb 2007: known phone boundaries) perfor-mance on the TIMIT core test set is shown in table II. ... of alanguage model (tests on MMI HMMs suggest that this mayyield a gain of up to 0.5% absolute). -
JOURNAL OF IEEE TRANS. ACOUST., SPEECH, SIGNAL PROCESSING, JULY ...
mi.eng.cam.ac.uk/research/projects/AGILE/publications/sim_SAP06.pdf10 Oct 2007: Only 0.3% improvement wasobtained on this test set. 3See http://htk.eng.cam.ac.uk/docs/cuhtk.shtml4Significance tests were carried out using the NIST Scoring Toolkit. ... These systems wereevaluated on thedev03 andeval03 test sets, each consistingof 3 -
IEEE TRANS. ON SAP, VOL. ?, NO. ??, ????? ...
mi.eng.cam.ac.uk/~mjfg/kai_ASP07.pdf23 Apr 2007: In iterative MLLR, a transform isestimated using the 1-Best hypothesis of the test data assupervision. ... However, in some applications, test data becomesavailable gradually. Incremental inference is often used. -
Discriminative Models for Speech RecognitionM.J.F. Gales Cambridge…
mi.eng.cam.ac.uk/~mjfg/mjfg_ita_margin.pdf30 May 2007: known phone boundaries) perfor-mance on the TIMIT core test set is shown in table II. ... of alanguage model (tests on MMI HMMs suggest that this mayyield a gain of up to 0.5% absolute). -
tech.dvi
mi.eng.cam.ac.uk/~mjfg/liao_tr552.pdf21 Sep 2007: tic mismatch between training and test conditions. This report examines the application of. ... The joint distribution mayalso be thought of more generally as modeling training and test conditions jointly rather thanas clean and noisy data. -
PhD Thesis
mi.eng.cam.ac.uk/~mjfg/thesis_ky219.pdf16 Nov 2007: data to build HMMs system with the same acoustic conditions as the test data. ... to compensate for the mismatch between training and test conditions by modifying the model. -
CAMBRIDGE UNIVERSITY ENGINEERING DEPARTMENT TRANSFORMATION STREAMS…
mi.eng.cam.ac.uk/~mjfg/mjfg_csl.pdf3 May 2007: This was significantlybetter at a 95% confidence level using a pair-wise significance test. ... On both test sets the new form of model performed significantly better than standardHMMs. -
A Gaussian Mixture Model Spectral Representation for Speech…
mi.eng.cam.ac.uk/~mjfg/thesis_mns25.pdf16 Nov 2007: representation 103. 6.5 Synchronous stream system with confidence weighting 107. 6.6 Results using GMM features on WSJ corpus and CSRNAB hub 1 test set 108. ... diagonal transforms 127. 8.4 Experiments using constrained MLLR transforms for WSJ test
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