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1 - 10 of 21 search results for Economics test |u:mi.eng.cam.ac.uk where 0 match all words and 21 match some words.

  1. Results that match 1 of 2 words

  2. is2008.dvi

    mi.eng.cam.ac.uk/~mjfg/raut_INTER08.pdf
    2 Mar 2009: The ML-SAT test procedure is first run toobtain initial ML speaker transforms. ... There is no need to estimate speaker-specific discriminative transforms on the test data.

  3. TRAINING AND ADAPTING MLP FEATURES FOR ARABIC SPEECH RECOGNITION

    mi.eng.cam.ac.uk/research/projects/AGILE/publications/park_icassp09.pdf
    7 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.

  4. Learning to Track with Multiple Observers Björn StengerComputer…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2009-CVPR-hand-trackingpdf
    28 Jul 2009: The running of tests consisting of all possible combina-tions of all trackers on all test sequences would take a pro-hibitive amount of time to complete. ... In order to test the validity of such a setup, weperformed tests using the complete tracking

  5. Context Dependent Language Model Adaptation X. Liu, M. J. ...

    mi.eng.cam.ac.uk/~mjfg/liu_INTER08.pdf
    2 Mar 2009: To further refine the LM, unsupervised test-setadaptation to a particular broadcast show, for example, may beused. ... 5. ConclusionUnsupervised test-time context dependent adaptation of n-grammixture models using a discriminative method was

  6. Sequence Kernels for Speaker and SpeechRecognition Mark Gales - ...

    mi.eng.cam.ac.uk/~mjfg/jhu09.pdf
    16 Jul 2009: word-internal triphones for SVM rescoring models– test data collected in car (idle, city, highway), unknown length digits. ... SVM Rescoring on AURORA 2.0. System Test SetA B C. VTS 9.8 9.1 9.5+ SVM 7.5 7.4 8.1.

  7. paper.2col.dvi

    mi.eng.cam.ac.uk/~mjfg/kai_ASP09.pdf
    2 Mar 2009: increased adaptation power on unseen test data can compensatefor this and achieve overall improvements. ... Statistical significance tests showed that almostall additional gains with different MLLR improvements weresignificant13.

  8. IEEE TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING, VOL. ...

    mi.eng.cam.ac.uk/~mjfg/cl336_ASP09.pdf
    2 Mar 2009: For the unweighted case the finalscoreS(Ov, s) assigned to test utteranceOv is given by. ... Only the test datais used to adapt the UBMs for the parametric kernel.

  9. CAMBRIDGE UNIVERSITY ENGINEERING DEPARTMENT NOISY CMLLR FOR…

    mi.eng.cam.ac.uk/~mjfg/kim_tr611.pdf
    18 Feb 2009: These model-basedapproaches modify the parameters of the acoustic models, so that they are representative of thetarget test environment. ... It is worth emphasising that the transform W(rm) is associated witha particular test acoustic condition.

  10. Learning to Track with Multiple Observers Björn StengerComputer…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2009-CVPR-hand-trackerpdf.pdf
    28 Jul 2009: The running of tests consisting of all possible combina-tions of all trackers on all test sequences would take a pro-hibitive amount of time to complete. ... In order to test the validity of such a setup, weperformed tests using the complete tracking

  11. doi:10.1016/j.patrec.2008.04.005

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2008-PR-car-video-database.pdf
    28 Jul 2009: The most advanced algorithms stillcompete with each other using training and test data consisting of. ... The algorithm’slow pedestrian detection rate in our daylight test sequence wassomewhat surprising.

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