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Structural Metadata at CUED: Progress Report Marcus Tomalin, Sue ...
mi.eng.cam.ac.uk/research/projects/EARS/pubs/tomalin_earsmay03.pdf24 Jul 2003: Backchannels not labelled separately in the training data.• Only the test data has reference ctm/mdtm files. - ... Bigram SULMs give largest reductions in %Err when combined with the PFM(using the current training and test data!). • -
ADAPTATION OF PRECISION MATRIX MODELS ON LARGE VOCABULARYCONTINUOUS…
mi.eng.cam.ac.uk/reports/svr-ftp/sim_icassp2005.pdf12 Apr 2005: For MLLR mean adaptation, a. SystemAdapt Test Set WER (%)Config eval03 dev04 dev04f. ... This system wasevaluated on botheval03 and dev04 test sets and comparedwith the SATDIAGC system. -
1 Structured Log Linear Models for Noise RobustSpeech Recognition ...
mi.eng.cam.ac.uk/~mjfg/zhang10.pdf8 Sep 2010: Test set A was used as the development set for tuningparameters for all systems, such as the penalty factor Cfor SVMs. ... The integratedtraining yielded a 9% reduction in error rate. The full results for all three test sets are shown in TableII. -
This article appeared in a journal published by Elsevier. ...
mi.eng.cam.ac.uk/~sjy/papers/inyo0920 Feb 2018: Table 3Percent of unseen contexts in the test data. Number of matching features. ... Noduration modification was applied for this test. Twenty subjects participated in the evaluation. -
IEEE TRANS. ON ASLP, TO APPEAR, 2011 1 Continuous ...
mi.eng.cam.ac.uk/~sjy/papers/yuyo11.pdf20 Feb 2018: For the test material 30 sentences froma tourist information enquiry application were used. ... This same text materialsas the above preference test were used for all the below. -
CAMBRIDGE UNIVERSITY ENGINEERING DEPARTMENT DISCRIMINATIVE…
mi.eng.cam.ac.uk/~mjfg/gales_tr605.pdf13 Aug 2008: In addition tobackground additive noise convolutional distortion was added to test set C. ... For all SNRsand test sets gains over the optimised VTS scheme were obtained. -
Bin Jia, Khe Chai Sim et al: CU-HTK RT03 ...
mi.eng.cam.ac.uk/research/projects/EARS/pubs/jia_rt03s.pdf23 Jun 2003: Acoustic Training Set-Up. • Acoustic/Training Test Data:– training data: 34.9 hours, 379 sides, from LDC CallHome (22.4hrs) and. ... dev02 numbers use manual segmentation, eval03 uses automaticsegmentation. • Comparison of dev02 and eval03 -
Global Optimisation of Neural Network Models Via Sequential…
mi.eng.cam.ac.uk/reports/full_html/freitas_icslp98.html/8 Mar 2000: Figure 3: Network prediction on training and test data. Actual output[. -
Single Pronunciation DictionariesConstruction and Performance Thomas…
mi.eng.cam.ac.uk/research/projects/EARS/pubs/hain_martigny03.pdf16 Sep 2003: Procedure. Training only Test onlyBoth dictionaries. single variant. substitutions. insertion. deletionsorA B C. ... Pronunciation variants in training and test. Combining different strategies in training and test. -
ADAPTIVE TRAINING USING STRUCTURED TRANSFORMS
mi.eng.cam.ac.uk/reports/svr-ftp/kai_icassp04st.pdf27 May 2004: During training and test adaptation, a global in-terpolation weight was estimated and separate speech and silencetransforms were used for CMLLR. ... Using ST for test adaptation again yieldedabout the same as a GD system with CMLLR.
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