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1 - 10 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. 6 Oct 2008: each test set– Whole-word models, 16 emitting-states with 3 components per state. • ... System Test SetA B C. VTS 9.84 9.11 9.53+ SVM 7.52 7.35 8.11.
  3. 16 Jun 2008: During recognition the following procedure is used:1. Compensate the acoustic models for the test noise con-. ... dition2. Recognise the test utterance Y to obtain 1-best hypoth-. esis, h = h1,. ,
  4. 13 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.
  5. 6 Nov 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.
  6. 11 Jan 2008: Two test sets defined by BBN were used for evaluating the sys-tems. ... It was ensured that therewas no overlap between this training and test data.
  7. - + Code Breaking for Automatic Speech ...

    mi.eng.cam.ac.uk/~wjb31/ppubs/VenkataramaniThesisTalk05.pdf
    16 Feb 2008: 120,000 instances in the training set. 8,000 instances in the test set. ... Lattice-based MMIE was performed. Test:. Test set is 8400 utterances ( 25 hours) from 10 heldout speakers.
  8. K. Yu, M.J.F. Gales and P.C. Woodland Cambridge University ...

    mi.eng.cam.ac.uk/~mjfg/yu-interspeech07.pdf
    11 Jan 2008: 3.3. Test datasets. The test sets used to evaluate the systems are bnmdev06 and bcmdev05.bnmdev06 comprises 3.6 hours of data taken from a range of BNsources. ... It includes some of the standard existing test sets describedin [10], dev04f, eval03m and
  9. The CUED NIST 2008 Arabic-English SMT system Adrià de ...

    mi.eng.cam.ac.uk/research/projects/AGILE/publications/degispert_NIST08.pdf
    6 May 2008: NIST 2008 Arabic-English MT evaluation development 8. Lowercase BLEU scores over three test sets from 2002 through 2006:. ... 8 nist.gov/speech/tests/mt/2006 nist.gov/speech/tests/mt/2008Department of EngineeringUniversity of Cambridge. NIST Open Machine
  10. 13 Jun 2008: If something is known about the possible test acoustic environment– multi-style (multi-environment) training may be used– “clean” model trained under a variety of conditions– also helps general robustness. • ... 20dB used for SPR
  11. is2008.dvi

    mi.eng.cam.ac.uk/research/projects/AGILE/publications/raut-interspeech08.pdf
    3 Dec 2008: 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.

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