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11 - 20 of 30 search results for a33 |u:mi.eng.cam.ac.uk
  1. Fully-matching results

  2. 9 Dec 2004: o o o3 4 T2. 12a. a a33. a a34 a.
  3. 13 Jun 2008: Hidden Markov Model - A Dynamic Bayesian Network. a a33 a22 44.
  4. 22 Nov 2006: o o o3 4 T2. 12a. a a33. a a34 a.
  5. 28 Apr 2009: o o o3 4 T2. 12a. a a33. a a34 a.
  6. sig-004.dvi

    mi.eng.cam.ac.uk/~mjfg/mjfg_NOW.pdf
    19 Mar 2008: 215. 216 HMM Structure Refinements. a a33 a22 44. 2 3 4 51a12 a23 a34 a45 y t y t1.
  7. maneval_hvd_new.eps

    mi.eng.cam.ac.uk/~mjfg/thesis_xc257.pdf
    9 May 2017: a12. a22. a23. a33. a34. a44. a45. Fig. 2.1A left-to-right HMM model with 3 emitting states, states 1 and 5 are non-emittingstates and 2,3,4 are ... s2 s3 s4 s5s2 a22 a23 0 0s3 0 a33 a34 0s4 0 0 a44 a45.
  8. Structured Deep Neural Networks for Speech Recognition

    mi.eng.cam.ac.uk/~mjfg/thesis_cw564.pdf
    12 Jul 2018: Structured Deep Neural Networks. for Speech Recognition. Chunyang Wu. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofDoctor of Philosophy. Wolfson College March 2018. I would like to dedicate this
  9. 26 Jul 2016: 8. 2.2 Hidden Markov Models. 2 3 41 5. a22 a33 a44. ... 10. 2.2 Hidden Markov Models. 2 3 41 5. a22 a33 a44.
  10. werhist-main.2.eps

    mi.eng.cam.ac.uk/~mjfg/thesis_ckr21.pdf
    10 Jun 2010: SpeechParameters. 2 3 4. State OutputDistributions. a12. a22. a23. a33 TransitionProbabilities. ... Speech. HMM. /k/ /aa/ /r/. 1 5a34 a45. a33. b1(ot) b2(ot) b3(ot).
  11. Linear Gaussian Models for Speech Recognition

    mi.eng.cam.ac.uk/reports/svr-ftp/rosti_thesis.pdf
    8 Oct 2004: statistics. a12. a22. a23. a33. a34. a44. a45. o1 o2 o3 o4 o5 o6.

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