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  2. 27 Oct 2015: CHAPTER 2. SPEECH RECOGNITION SYSTEMS 11. 1 2. a22. a123. a33. ... a234. a34. a44. 5a45. duration of state 2ot b2(o). duration of state 3ot b3(o).
  3. 16 Nov 2007: a22 a33 a44. b3(oτ ). Figure 2.1 An HMM with a left-to-right topology and three emitting states.
  4. 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.
  5. 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.
  6. 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
  7. 16 Nov 2007: statistics. a12. a22. a23. a33. a34. a44. a45. o1 o2 o3 o4 o5 o6.
  8. slides_part2.dvi

    mi.eng.cam.ac.uk/~kmk/presentations/TutorialIC_Sep2015_part2_Knill.pdf
    12 May 2016: 22a a33 a44 a22 a33 a44. 2 3 4 5. 1.
  9. 22 Nov 2001: C$ "-$ #(80360!#'KY. b4b2 b3. a12 a45a34a23. a22 a33 a44. a32 a43.
  10. 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.
  11. 9 Aug 2005: a23. a22. a34. a33 a44. 2 3 4Entry1. ExitNa4Na12. b2(ot) b3(ot) b4(ot).

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