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TRAINING AND ADAPTING MLP FEATURES FOR ARABIC SPEECH RECOGNITION
mi.eng.cam.ac.uk/research/projects/AGILE/publications/park_icassp09.pdf7 Oct 2009: The 260K word-list. Training data Test Acc. (%)200 hours 63.551350 hours 65.16. ... LINadaptation shows WERreductions over not adapting thefeatures for two of the test-sets. -
Uniform precision ultrasound strain imaging G.M. Treece, J.E. Lindop, …
mi.eng.cam.ac.uk/reports/svr-ftp/treece_tr624.pdf9 Mar 2009: Local strain. 5This data set was previously used to test a parametric method for non-uniform smoothing: see Fig. ... The phantom data in Figs. 4, 5 and 6 was also used to test convergence for various methods ofsolving eq. -
paper_pcw_v1.dvi
mi.eng.cam.ac.uk/research/projects/AGILE/publications/park_interspeech09.pdf7 Oct 2009: MLP config. Training data Train Acc. Test Acc. 1350hr 69.51% 65.61%1350hr big 71.37% 67.57%200hr set #1 68.77% 63.92%200hr set #2 68.54% ... 4.2. Unadapted decoding results. In a first test series the use of MLP features is evaluated withinthe -
report.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/ijaz_tr635.pdf20 Aug 2009: Exploration is the ability to test various regionsin the problem space to reach a global optimum and exploitation is the ability to search aroundthe candidate solution. -
icassp09.dvi
mi.eng.cam.ac.uk/research/projects/AGILE/publications/raut-icassp09.pdf21 Jul 2009: As they are not re-estimated on the test data, they are not sensitive to the supervisionhypothesis errors or limited amount of data. ... The test-set eval03 consists of about 6 hours of data from144 speakers, taken from Swbd and Fisher corpora.
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