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  2. paper.dvi

    mi.eng.cam.ac.uk/~mjfg/richter_EURO99.pdf
    19 Nov 2010: The two forms of modified tail distribution modelling were inves-tigated on the 1998 Hub4 partitioned evaluation test set. ... The test was performed on a subset of the 1997 par-titioned evaluation that was used for development [4].
  3. 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[.
  4. Applying Deep Learning in Non-native Spoken English Assessment

    mi.eng.cam.ac.uk/~mjfg/ALTA/presentations/APSIPA2019_Knill.pdf
    21 Feb 2022: Automate (English) spoken language assessment & learning• without simplifying/limiting form of test: “free speaking”• possibility for richer, interactive, tests• desire to assess communication skills. ... 4/45. Spoken Language Assessment &
  5. 20 Feb 2018: It is also important that theparticipants do not interact before the test is started. ... The con-fusion matrix can be trained on phone-labelled test output datafrom an ASR system.
  6. The Development of the Cambridge University RT-04 Diarisation System

    mi.eng.cam.ac.uk/reports/full_html/tranter_rt04.html/
    10 Jan 2005: NIST,. Benchmark Tests : Rich Transcription (RT),.
  7. Tsiakoulis_Pirros_1293

    mi.eng.cam.ac.uk/~sjy/papers/tghp12.pdf
    20 Feb 2018: The aim of the experiment was to test the robustness and performance of a spoken dialogue system in a moving car. ... The resulting speech database was further split into a training set (60%) and a test set (40%).
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 5 Apr 2016: English Broadcast News (BN) transcription task.Two distinct sets of test data are examined. ... The first from the BNtask, yields test data acoustically matched to the training data.
  17. 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.
  18. Unsupervised Language Model Adaptation for Mandarin…

    mi.eng.cam.ac.uk/reports/svr-ftp/mrva_icslp06.pdf
    20 Jan 2007: All the test sets comprise ofshows where a show is a broadcast of a TV or radio program. ... 3.4. Results. The tests were carried out on a BC test set (dev05bcm: 3 hours,30k words, 5 shows) and two BN test sets (eval04: 1.3 hours, 11kwords, 3
  19. nips7.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/williams_nips2004.pdf
    9 Aug 2005: This is restrictive in practicein that test data may contain distortions that take it outside the strict ambit of the trainingpositives. ... This can be computed in terms of likelihoods. (1)so then the test becomes (2)where.
  20. 20 Feb 2018: Theerror rates for all approaches are set so that the oracle error ratematches the test data. ... This is the kind of feature that the Corpus-level actKullback-Leibler divergence (CAKL) metric tests.
  21. Uncertainty: Knowing What You Don't Know

    mi.eng.cam.ac.uk/~mjfg/mjfg_cncc2021.pdf
    20 Jun 2023: Use CIFAR-100 for out-of-distribution (OOD) training data• evaluate performance in detecting OOD test samples• metric AUC (average 10 randomly initialised models 2σ).

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