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  1. Results that match 1 of 2 words

  2. Use of Deep Learning in Free Speaking Non-native English Assessment

    mi.eng.cam.ac.uk/~mjfg/ALTA/presentations/TSD2021_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. ... 5/56. Spoken Language Assessment &
  3. 20 Feb 2018: Section 4 presents the results of bothobjective and subjective tests. Conclusions then follow. ... 4.2. Subjective listening tests. The previous objective measures show useful comparison infor-mation.
  4. Mark Gales - Publications

    mi.eng.cam.ac.uk/~mjfg/publications.v1.html
    20 Dec 2011: Phonetic Pronunciations for Arabic Speech-to-Test Systems. ICASSP 2008. C. Longworth and M.J.F.
  5. eps.dis.dur.testa.eps

    mi.eng.cam.ac.uk/~mjfg/gales_ASRU09.pdf
    14 Sep 2010: All three test sets, A, B and C,were used for evaluating the schemes. ... This work used three of the test sets containing digit. sequences (phone numbers).
  6. system.dvi

    mi.eng.cam.ac.uk/~sjy/papers/heyo06.pdf
    20 Feb 2018: test set. Although this biased the NOV93 results, later analysis showed that the. ... DEC94 test sets. The resulting noisy speech utterances had signal-to-noise ratios.
  7. 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.
  8. 20 Feb 2018: Two tailed z-tests at the 95% confidence levelwere used to test the statistical significance of the differencebetween the success rates. ... The use of the AMT workers is substantially more efficientwhen compared to a controlled test.
  9. Kate Knill ALTA Institute, Cambridge University Engineering…

    mi.eng.cam.ac.uk/~mjfg/ALTA/presentations/Knill_UKSpeech2023_Keynote.pdf
    19 Jun 2023: Feedback 140. Speech Processing. 21. Free speaking prompt-response tests – speak for up to 1 minute. ... INTERSPEECH 2020. • S. McKnight et al, “Automatic Assessment of Conversational Speaking Tests”, UK Speech C.
  10. 13 Jun 2013: As the test data was Levantine Arabic,there is little appropriate data for training language models. ... Forthis work all the clean Levantine Arabic transcriptions, exclud-ing the dev1 test data, was used.
  11. 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,. ,

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