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  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. DESIGN OF FAST LVCSR SYSTEMS G. Evermann & P.C. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/evermann_asru2003.pdf
    23 Sep 2003: For BN the test datais taken from radio and TV news shows (for example CNNHeadline News, ABC World News Tonight). ... The 2003 BNeval test set consists of 6 half-hour excerpts from Radio andTV broadcasts taken from February 2001.
  4. 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.
  5. AUTOMATIC COMPLEXITY CONTROL FOR HLDA SYSTEMS X. Liu, M. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/liu_icassp2003.pdf
    19 Sep 2003: Fig. 1. Test set word error rate for all possible models, with thestandard front-end 12, 16 and 24 component performance. ... there was some random variation in the performance,since we do not have an infinite held out test set.
  6. SU Detection for RT-03f at Cambridge University Marcus Tomalin, ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/tomalin_rt03f.pdf
    20 Nov 2003: CTS SU-Detection System Overview. SULM_1 SULM_2. SULM_N. RTTM FILE. TEST DATA. ... Rebuild PFM and tg SULM.3. Obtain results for the dev03f test set.4.
  7. ASRU03.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/wang_asru2003.pdf
    25 Sep 2003: Table 1. The WER(%) on test set CEDFÑ _ for MMI/MPE systemsand discriminative SAT systems, after constrained MLLRadaptation. ... Furthermore, the useof MMI-based constrained DLT for building an MPE-SAT modelcould also get similar test-set performance.
  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. CAMBRIDGE UNIVERSITYENGINEERING DEPARTMENT Automatic Transcription…

    mi.eng.cam.ac.uk/reports/svr-ftp/hain_tr465.pdf
    18 Dec 2003: Multiple training and test sets are used in the experiments in this paper. ... 11. Training only Test onlyBoth dictionaries. single variant. substitutions. insertion. deletionsorA B C.
  10. Kim et al.: 2003 CU-HTK BN-E Systems 2003 CU-HTK ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/kim_rt03s.pdf
    24 Jul 2003: Baseline Acoustic Models: Results (I). • Development test setsBNeval98 two 1.5-hour data setsBNeval02 1-hour data setBNdev03 three hours of TDT-4 data from Jan ’01 transcribed by STT sites. • ... MLE baseline system– Add 3rd derivatives HLDA,
  11. A Sparse Probabilistic Learning Algorithm for Real-Time Tracking…

    mi.eng.cam.ac.uk/reports/svr-ftp/williams_iccv03.pdf
    23 Nov 2003: It seems that some form of single stage regressionmight be more powerful, both for dealing with the rangeof variation of test examples, and for correctly modellingstatistical variability. ... Forefficiency, this test is made only every M frames (in

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