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51 - 60 of 1,000 search results for KaKaoTalk:ZA31 24 24 |u:mi.eng.cam.ac.uk where 0 match all words and 1,000 match some words.

  1. Results that match 1 of 2 words

  2. Roberto Cipolla - Professor of Information Engineering

    mi.eng.cam.ac.uk/~cipolla/professional.htm
    July 23-24, 1997. Organiser and Co-Chair of the European Conference on Computer Vision 1996,.

  3. paper.dvi

    mi.eng.cam.ac.uk/~mjfg/ragni_ICASSP11.pdf
    11 Mar 2011: 24, pp. 648–662, 2010. [4] I. Tsochantaridis, T. Joachims, T. Hofmann, and Y.

  4. DISCRIMINATIVE SPOKEN LANGUAGE UNDERSTANDINGUSING WORD CONFUSION…

    mi.eng.cam.ac.uk/~sjy/papers/hgtt12.pdf
    20 Feb 2018: 24, no. 4, Oct. 2010. [16] S. J. Young, G. Evermann, M.

  5. Unsupervised Language Model Adaptation for Mandarin…

    mi.eng.cam.ac.uk/reports/svr-ftp/mrva_icslp06.pdf
    20 Jan 2007: Test set baseline N-gram adaptfixed weights dynamic weights. dev05bcm (BC) 25.6 24.5eval04 (BN) 14.7 14.8dev04f (BN) 6.4 6.5. ... P3 27.4 25.6 24.5 24.3 24.3. Table 3: P2, P3 stage dev05bcm CERs.

  6. From Discontinuous To Continuous F0 Modelling In HMM-based…

    mi.eng.cam.ac.uk/~sjy/papers/yuty10.pdf
    20 Feb 2018: The feature set includes 24 spectralcoefficients, log F0 and 5 aperiodic component features.

  7. 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

  8. Deep Learning for Automatic Assessment and Feedback of Spoken English

    mi.eng.cam.ac.uk/~mjfg/thesis_kk492.pdf
    17 Nov 2021: Deep Learning for AutomaticAssessment and Feedback of Spoken. English. Konstantinos Kyriakopoulos. Supervisor: Prof. Mark J.F. Gales. Department of EngineeringUniversity of Cambridge. This thesis is submitted for the degree of Doctor of Philosophy.

  9. 1 Statistical Sequence ModellingMark Gales Speech recognition and…

    mi.eng.cam.ac.uk/~mjfg/sequence17-draft.pdf
    24 May 2017: Tt=1. p(yt|ht,h̃t) (1.24). where the normalisation term ensures that this is valid PDF. ... 24. Fcml(λ;D) =n. i=1. log( p(w(i)1:L(i)|Y(i). 1:T (i) ; λ)) (1.100).

  10. N-BEST ERROR SIMULATION FOR TRAINING SPOKEN DIALOGUE SYSTEMS Blaise…

    mi.eng.cam.ac.uk/~sjy/papers/thgt12.pdf
    20 Feb 2018: 24, no. 4, pp. 562–588, 2010. [3] R. Sutton and A.

  11. EFFECTS OF THE USER MODEL ON SIMULATION-BASEDLEARNING OF DIALOGUE ...

    mi.eng.cam.ac.uk/~sjy/papers/swsy05.pdf
    20 Feb 2018: The COMMUNICATOR systems in contrast onlyrequest between 24% and 43% of the unknown slots in each state.

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