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1 - 10 of 30 search results for Economics test |u:mi.eng.cam.ac.uk where 0 match all words and 30 match some words.

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  2. UNSUPERVISED TRAINING FOR MANDARIN BROADCAST NEWS AND…

    mi.eng.cam.ac.uk/~mjfg/wang_ICASSP07.pdf
    22 Jun 2007: Table 3 shows the P1-P2 perfor-mance3 of these baseline models on the BC and BN tests sets. ... Table 6. Unadapted %CER onbcmdev05. The models were then evaluated on the BC test set,bcmdev05.

  3. Discriminative Complexity Control and Linear Projections for Large…

    mi.eng.cam.ac.uk/~mjfg/thesis_xl207.pdf
    16 Nov 2007: the WER on test data may be viewed as the ultimate aim, or a zero risk complexity control.

  4. � ������� � ��� � ������� ����������������������� !�"� ��� ...

    mi.eng.cam.ac.uk/~mjfg/thesis_nds1002.pdf
    16 Nov 2007: test error rate ideally. error rate. mimics theoretical. training. test. classifier complexity.

  5. A Gaussian Mixture Model Spectral Representation for Speech…

    mi.eng.cam.ac.uk/~mjfg/thesis_mns25.pdf
    16 Nov 2007: representation 103. 6.5 Synchronous stream system with confidence weighting 107. 6.6 Results using GMM features on WSJ corpus and CSRNAB hub 1 test set 108. ... diagonal transforms 127. 8.4 Experiments using constrained MLLR transforms for WSJ test

  6. PhD Thesis

    mi.eng.cam.ac.uk/~mjfg/thesis_ky219.pdf
    16 Nov 2007: data to build HMMs system with the same acoustic conditions as the test data. ... to compensate for the mismatch between training and test conditions by modifying the model.

  7. PhD Thesis

    mi.eng.cam.ac.uk/~mjfg/thesis_kcs23.pdf
    16 Nov 2007: 8.1.1 Training and Test Corpora 102. 8.1.2 System configurations 103. 8.2 Initial Experiments 106. ... ments. A summary of the history of NIST’s benchmark tests are given in [91].

  8. Linear Gaussian Models for Speech Recognition Antti-Veikko Ilmari…

    mi.eng.cam.ac.uk/~mjfg/thesis_avir2.pdf
    16 Nov 2007: 89. LIST OF FIGURES xiv. 7.3 Word error rate for the 1200 utterance test data against the number of hypothe-. ... Oracle: 1.18 (test), 0.08 (train). Idiot: 63.43 (test), 52.45 (train). 95.

  9. Discriminative Models for Speech Recognition Mark Gales 1 February ...

    mi.eng.cam.ac.uk/~mjfg/talk_ita.pdf
    22 Feb 2007: Classification error on the TIMIT core test set. •

  10. Discriminative Models for Speech RecognitionM.J.F. Gales Cambridge…

    mi.eng.cam.ac.uk/~mjfg/mjfg_ita_margin.pdf
    30 May 2007: known phone boundaries) perfor-mance on the TIMIT core test set is shown in table II. ... of alanguage model (tests on MMI HMMs suggest that this mayyield a gain of up to 0.5% absolute).

  11. Discriminative Models for Speech RecognitionM.J.F. Gales Cambridge…

    mi.eng.cam.ac.uk/~mjfg/mjfg_ita.pdf
    22 Feb 2007: known phone boundaries) perfor-mance on the TIMIT core test set is shown in table II. ... of alanguage model (tests on MMI HMMs suggest that this mayyield a gain of up to 0.5% absolute).

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