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  1. Results that match 1 of 2 words

  2. Structural Metadata at CUED: Progress Report Marcus Tomalin, Sue ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/tomalin_earsmay03.pdf
    24 Jul 2003: Backchannels not labelled separately in the training data.• Only the test data has reference ctm/mdtm files. - ... Bigram SULMs give largest reductions in %Err when combined with the PFM(using the current training and test data!). •
  3. ADAPTATION OF PRECISION MATRIX MODELS ON LARGE VOCABULARYCONTINUOUS…

    mi.eng.cam.ac.uk/reports/svr-ftp/sim_icassp2005.pdf
    12 Apr 2005: For MLLR mean adaptation, a. SystemAdapt Test Set WER (%)Config eval03 dev04 dev04f. ... This system wasevaluated on botheval03 and dev04 test sets and comparedwith the SATDIAGC system.
  4. 8 Sep 2010: Test set A was used as the development set for tuningparameters for all systems, such as the penalty factor Cfor SVMs. ... The integratedtraining yielded a 9% reduction in error rate. The full results for all three test sets are shown in TableII.
  5. 20 Feb 2018: Table 3Percent of unseen contexts in the test data. Number of matching features. ... Noduration modification was applied for this test. Twenty subjects participated in the evaluation.
  6. IEEE TRANS. ON ASLP, TO APPEAR, 2011 1 Continuous ...

    mi.eng.cam.ac.uk/~sjy/papers/yuyo11.pdf
    20 Feb 2018: For the test material 30 sentences froma tourist information enquiry application were used. ... This same text materialsas the above preference test were used for all the below.
  7. 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.
  8. Bin Jia, Khe Chai Sim et al: CU-HTK RT03 ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/jia_rt03s.pdf
    23 Jun 2003: Acoustic Training Set-Up. • Acoustic/Training Test Data:– training data: 34.9 hours, 379 sides, from LDC CallHome (22.4hrs) and. ... dev02 numbers use manual segmentation, eval03 uses automaticsegmentation. • Comparison of dev02 and eval03
  9. Global Optimisation of Neural Network Models Via Sequential…

    mi.eng.cam.ac.uk/reports/full_html/freitas_icslp98.html/
    8 Mar 2000: Figure 3: Network prediction on training and test data. Actual output[.
  10. Single Pronunciation DictionariesConstruction and Performance Thomas…

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/hain_martigny03.pdf
    16 Sep 2003: Procedure. Training only Test onlyBoth dictionaries. single variant. substitutions. insertion. deletionsorA B C. ... Pronunciation variants in training and test. Combining different strategies in training and test.
  11. ADAPTIVE TRAINING USING STRUCTURED TRANSFORMS

    mi.eng.cam.ac.uk/reports/svr-ftp/kai_icassp04st.pdf
    27 May 2004: During training and test adaptation, a global in-terpolation weight was estimated and separate speech and silencetransforms were used for CMLLR. ... Using ST for test adaptation again yieldedabout the same as a GD system with CMLLR.

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