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Abstract for niesler_tr215
mi.eng.cam.ac.uk/reports/abstracts/niesler_tr215.html27 Jul 2020: of tests on the LOB corpus to yield very good tagging accuracies. -
Abstract for housden_tr587
mi.eng.cam.ac.uk/reports/abstracts/biomed/housden_tr587.html27 Jul 2020: In this paper, we present a technique to compensate for out-of-plane rotations, which we test using simulations and in vitro experiments. -
Abstract for gales_tr263
mi.eng.cam.ac.uk/reports/abstracts/gales_tr263.html27 Jul 2020: Both these schemes require no a-priori thresholding information. An initial evaluation of the techniques was performed using data from the ARPA 1994 test data. -
Abstract for clarkson_icassp97
mi.eng.cam.ac.uk/reports/abstracts/clarkson_icassp97.html27 Jul 2020: Both techniques yield a significant reduction in perplexity over the baseline trigram language model when faced with multi-domain test text, the mixture-based model giving a 24% reduction and the -
Abstract for woodland_lvcsr01
mi.eng.cam.ac.uk/reports/abstracts/speech/woodland_lvcsr01.html27 Jul 2020: Results are presented for the 2001 development and evaluation test sets. -
Abstract for arandjelovic_OTCBVS06
mi.eng.cam.ac.uk/reports/abstracts/arandjelovic_OTCBVS06.html27 Jul 2020: Our system achieved a high correct identification rate of 97% on a freely available test set of 29 individuals and extreme illumination changes. -
Abstract for rohling_firstyear
mi.eng.cam.ac.uk/reports/abstracts/rohling_firstyear.html27 Jul 2020: Initial tests show that measurement errors, including image artifacts, are significant enough to obscure and distort diagnostically important information. -
Abstract for woodland_arpa96
mi.eng.cam.ac.uk/reports/abstracts/speech/woodland_arpa96.html27 Jul 2020: The HTK system yielded the lowest error rates in both the H3-P0 and H3-C0 tests. -
Abstract for lovell_neocognitron
mi.eng.cam.ac.uk/reports/abstracts/lovell_neocognitron.html27 Jul 2020: Tests of Fukushima's original system and the novel systems proposed in this paper suggest that the neocognitron is unable to achieve the rformance of existing digit classifiers due to its -
Abstract for donovan_thesis
mi.eng.cam.ac.uk/reports/abstracts/donovan_thesis.html27 Jul 2020: The segmental intelligibility was measured using the Modified Rhyme Test, and a 5.0% error rate obtained.
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