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  2. 20 Feb 2018: In Proceedings of ACL, 2017. [24] Nikola Mrkšić, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gašić, Pei-Hao Su, DavidVandyke, Tsung-Hsien Wen, and Steve Young. ... Computer Speech & Language, 24(2):150–174, 2010. [53] Steve Young, Milica
  3. 20 Feb 2018: The feature set includes 24 spectralcoefficients, log F0 and 5 aperiodic component features.
  4. yeyo06.dvi

    mi.eng.cam.ac.uk/~sjy/papers/yeyo06.pdf
    20 Feb 2018: g(i)jq =. T. t=1. v(t)ii d. (t)jq j, q = 1, , (d 1) (24). ... Markel,”Distance measures for speech processing”,IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.ASSP-24, no.5, pp.380-391, October 1976.
  5. 27 Jul 2020: CBCT non-planarity 2.47 2.46 3.35 15.7 16.0 14.8 12.1 10.8 8.63reach 9.36 9.16 9.57 26.7 24.7 ... MDCT non-planarity 3.04 3.67 4.52 15.1 14.2 15.5 11.7 10.6 8.3reach 13.6 11.2 10.4 26.3 24.1
  6. 4F12-notes-4.dvi

    mi.eng.cam.ac.uk/~cipolla/lectures/4F12/Slides/4F12-notes-4.pdf
    2 Nov 2023: 12 p. ′13 p. ′14. p′21 p′22 p. ′23 p. ′24. ... vp24)p22. p′24. . . . . . Z. . . .
  7. 20 Feb 2018: Surprised Sad Angry. wlex 13.67 12.30 18.74wwpos 24.52 11.29 18.47wspos 11.33 4.91 3.31wpofs 1.13 4.82 8.82wppofs 24.27
  8. Paper8-CV-intro.dvi

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/2024-IB-Paper8-CV-Introduction.pdf
    1 May 2024: 2D array I(x,y,t) incomputer memory. CCD. • A typical digital SLR CCD measures about 24 16 mm.
  9. Applying Deep Learning in Non-native Spoken English Assessment

    mi.eng.cam.ac.uk/~mjfg/ALTA/presentations/APSIPA2019_Knill.pdf
    21 Feb 2022: 1.0 indicates within one CEFR grade-level. 24/45. Assessment System Performance. • ... 1.0 indicates within one CEFR grade-level. 24/45. Performance Analysis. 25/45.
  10. A LANGUAGE SPACE REPRESENTATION FOR SPEECH RECOGNITION

    mi.eng.cam.ac.uk/~mjfg/icassp15-ragni.pdf
    18 May 2015: There are many options to select the form of rep-resentation of the clusters and the combination method to employ[18, 17, 13, 24, 25]. ... 20, no. 6, pp. 1713–1724, 2012. [24] V. Diakoloukas and V.
  11. 13 Aug 2008: In common with other work in this. 5. area [9, 24], G is approximated by the diagonalised empirical covariance matrix of the trainingdata. ... 00 25.48 21.73 25.95 24.46 21.64 26.05 24.51 22.56.
  12. 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. ... The best perfor-mance, 36.8%, was obtained using 24 components per state and anHLDA projection from 52 dimensions to 38
  13. 4F12-notes-1.dvi

    mi.eng.cam.ac.uk/~cipolla/lectures/4F12/Slides/4F12-notes-1.pdf
    29 Sep 2023: CCD. • A typical digital SLR CCD measures about 24 16 mm. ... 24 Engineering Part IIB: 4F12 Computer Vision. Further reading. Students looking for a deeper understanding of computer vision might wish to con-sult the following publications, many of
  14. More Robust Schema-Guided Dialogue State Tracking via…

    mi.eng.cam.ac.uk/~wjb31/eacl_2023_CR.pdf
    1 Mar 2023: lightweight data augmentation for lowresource slot filling and intent classification. In Pro-ceedings of the 34th Pacific Asia Conference on Lan-guage, Information and Computation, PACLIC 2020,Hanoi, Vietnam, October
  15. 11 Mar 2016: MPE— 7.15 11.06 14.37 24.54 16.79CML 6.95 11.00 14.29 24.39 16.68large-margin 7.02 10.92 14.16 24.28 ... Therefore the systems use graphemic lex-ica generated using an approach which is applicable to all Unicodecharacters [24].
  16. 20 Feb 2018: 24, no. 4, pp. 562–588, 2010. [3] R. Sutton and A.
  17. Towards Learning Orientated Assessment for Non-native Learner Spoken…

    mi.eng.cam.ac.uk/~kmk/presentations/ALTA_Sheffield_20190306.pdf
    8 Mar 2019: 300 300. 25.5. 400 24.5. 400 24.4. ASR on Non-native Speech (2). • ... Thai dh d 7.24 oh aa 5.21. 30. • Top 2 recurrent substitution errors for speakers in each L1.
  18. 20 Feb 2018: The COMMUNICATOR systems in contrast onlyrequest between 24% and 43% of the unknown slots in each state.
  19. Towards Learning Orientated Assessment for Non-native Learner Spoken…

    mi.eng.cam.ac.uk/~mjfg/ALTA/presentations/ALTA_Sheffield_20190306.pdf
    21 Feb 2022: 300 300. 25.5. 400 24.5. 400 24.4. ASR on Non-native Speech (2). • ... Thai dh d 7.24 oh aa 5.21. 30. • Top 2 recurrent substitution errors for speakers in each L1.
  20. 13 Jun 2013: Ney LM with optimized discounting parameters [24] usinga modified version of the RWTH open source decoder [25]; and (6)DBN, a deep belief network hybrid model [26, 27] with discrimi-native ... Ney, “Posterior-scaled mpe: Novel discriminative
  21. lect1.dvi

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lect1.pdf
    10 Nov 2015: for minimum error with generative models. 24 Engineering Part IIB: Module 4F10 Statistical Pattern Processing.

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