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21 - 30 of 36 search results for Economics test |u:mi.eng.cam.ac.uk where 0 match all words and 36 match some words.

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  2. NONPARAMETRIC SURFACE REGRESSIONFOR STRAIN ESTIMATION J. E. Lindop,…

    mi.eng.cam.ac.uk/reports/svr-ftp/lindop_tr598.pdf
    6 Mar 2008: As for the roughness penalty, we test the penalty set out in Equation 1. ... Several different methods areapplied in tests in Sections 4.3 and 4.4.

  3. Uncertainty Decoding forNoise Robust Speech Recognition Hank Liao…

    mi.eng.cam.ac.uk/~mjfg/thesis_hl251.pdf
    17 Sep 2008: JUD compensation parameters are derived from the joint distribution betweenthe training and test conditions. ... 1289.6 Utterance length mean and standard deviation in TREL-CRL04 test sets.

  4. slides.dvi

    mi.eng.cam.ac.uk/~mjfg/gales_AUG08.pdf
    15 Aug 2008: Training dataset: about 290hr, 5446spkr; Test dataset: 6hr, 144spkr– Front-end: PLPEnergy1st,2nd,3rd derivatives, HLDA and VTLN used– 16 Gaussian components per state systems; state clustered triphones– 150-Best list

  5. thesis.dvi

    mi.eng.cam.ac.uk/~wjb31/ppubs/VenkataramaniDiss05.pdf
    16 Feb 2008: the speech from the test speaker. These Speaker-Dependent (SD) models are usually. ... the test speaker and the W are now the transcriptions obtained from the SI system.

  6. Statistical Machine Translationand Automatic Speech Recognitionunder…

    mi.eng.cam.ac.uk/~wjb31/ppubs/LMathiasDissDec07.pdf
    16 Feb 2008: 716.4 Translation examples for the EPPS Eval05 test set : ASR 1-best and. ... BLEU is defined over all the sentences in the test set i.e.

  7. Augmented Statistical Models for Classifying Sequence Data Martin…

    mi.eng.cam.ac.uk/~mjfg/thesis_ml362.pdf
    16 Jan 2008: 137. 8.6 Proportion of development and core test sets rescored as the number of. ... 133. 8.9 Confusable phone-pairs in the TIMIT classification core test set.

  8. Bitext Alignment forStatistical Machine Translation Yonggang Deng A…

    mi.eng.cam.ac.uk/~wjb31/ppubs/YDengDissertationDec05.pdf
    16 Feb 2008: exponential of the cross entropy of the language model on the test set. ... using the posterior distribution with the goal of improving phrase coverage on test.

  9. Minimum Bayes-Risk Techniquesin Automatic Speech Recognition and…

    mi.eng.cam.ac.uk/~wjb31/ppubs/ShankarKumarDiss04.pdf
    16 Feb 2008: For each N-best list on the test set, theoracle BLEU hypothesis is computed under the sentence-level BLEUmetric. ... The oracle hypotheses are concatenated over the test set, andthe test-set BLEU score is measured.

  10. Bitext Alignment for Statistical Machine Translation

    mi.eng.cam.ac.uk/~wjb31/ppubs/YDengDefenseDec05.pdf
    16 Feb 2008: Bitext Word Alignment Word Alignment Results. Bitext Alignment Results. Test: NIST 2001 MT-eval set, 124 sentence pairs w/ manual word alignmentsComparable performance to Model-4 on FBIS training bitextIncreasing max ... GOAL: add phrase pairs to improve

  11. Derivative and Parametric Kernels for Speaker Verification C.…

    mi.eng.cam.ac.uk/~mjfg/longworth_inter07.pdf
    8 Jan 2008: 7] A. Martin, “The NIST year 2002 speaker recog-nition evaluation plan,” 2002, available fromhttp://www.nist.gov/speech/tests/spk/2002/doc.

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