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1 - 23 of 23 search results for `A33 A34` |u:mi.eng.cam.ac.uk

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  2. slides_part1.dvi

    mi.eng.cam.ac.uk/~kmk/presentations/TutorialIC_Sep2015_part1_Knill.pdf
    12 May 2016: 12a. a a33. a a34 a. a22. 23. 44. 45. oo1. ... x x x3 4 72. 12a. a a33. a a34 a.

  3. Acoustic Modelling for Speech Recognition:Hidden Markov Models and…

    mi.eng.cam.ac.uk/~mjfg/ASRU_talk09.pdf
    5 Jan 2010: o o o3 4 T2. 12a. a a33. a a34 a. ... 12a. a a33. a a34 a. a22. 23. 44. 45. oo1.

  4. slides_part2.dvi

    mi.eng.cam.ac.uk/~kmk/presentations/TutorialIC_Sep2015_part2_Knill.pdf
    12 May 2016: 112a a a34 a23 45. 1 2 3 4 512a a a34 a23 45. ... 22a a33 a44 a22 a33 a44. 2 3 4 5. 1.

  5. sig-004.dvi

    mi.eng.cam.ac.uk/~sjy/papers/gayo07.pdf
    20 Feb 2018: 204 Architecture of an HMM-Based Recogniser. a aa22. a12 a23 a34 a45. ... 215. 216 HMM Structure Refinements. a a33 a22 44. 2 3 4 51a12 a23 a34 a45 y t y t1.

  6. Discriminative Models for Speech Recognition Mark Gales 1 February ...

    mi.eng.cam.ac.uk/~mjfg/talk_ita.pdf
    22 Feb 2007: 12a. a a33. a a34 a. a22. 23. 44. 45. oo1.

  7. Machine Learning for Speech & LanguageProcessing Mark Gales 28 ...

    mi.eng.cam.ac.uk/~mjfg/FCSW_talk.pdf
    19 Jul 2006: o o o3 4 T2. 12a. a a33. a a34 a.

  8. Augmented Statistical Models for SpeechRecognition Mark Gales &…

    mi.eng.cam.ac.uk/~mjfg/Edin_talk.pdf
    5 Jul 2006: o o o3 4 T2. 12a. a a33. a a34 a.

  9. Sequence Kernels for Speaker and SpeechRecognition Mark Gales - ...

    mi.eng.cam.ac.uk/~mjfg/jhu09.pdf
    16 Jul 2009: o o o3 4 T2. 12a. a a33. a a34 a.

  10. slides.dvi

    mi.eng.cam.ac.uk/~mjfg/gales_AUG08.pdf
    15 Aug 2008: o o o3 4 T2. 12a. a a33. a a34 a.

  11. SVMs, Generative Kernels & Maximum MarginStatistical Models Mark…

    mi.eng.cam.ac.uk/~mjfg/ISM_talk.pdf
    9 Dec 2004: o o o3 4 T2. 12a. a a33. a a34 a.

  12. Model-Based Approaches to Robust SpeechRecognition Mark Gales with…

    mi.eng.cam.ac.uk/~mjfg/talk_kcl.pdf
    13 Jun 2008: Hidden Markov Model - A Dynamic Bayesian Network. a a33 a22 44. ... 2 3 4 51a12 a23 a34 a45. (a) Standard HMM phone topology.

  13. Modelling Dependencies in SequenceClassification: Augmented…

    mi.eng.cam.ac.uk/~mjfg/gales_UEA06.pdf
    22 Nov 2006: o o o3 4 T2. 12a. a a33. a a34 a.

  14. Model-Based Approaches to Speaker andEnvironment Adaptation Mark…

    mi.eng.cam.ac.uk/~mjfg/mjfg_china09.pdf
    28 Apr 2009: o o o3 4 T2. 12a. a a33. a a34 a.

  15. sig-004.dvi

    mi.eng.cam.ac.uk/~mjfg/mjfg_NOW.pdf
    19 Mar 2008: 204 Architecture of an HMM-Based Recogniser. a aa22. a12 a23 a34 a45. ... 215. 216 HMM Structure Refinements. a a33 a22 44. 2 3 4 51a12 a23 a34 a45 y t y t1.

  16. 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.

  17. 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

  18. Structured and InûniteDiscriminative Models for Speech Recognition…

    mi.eng.cam.ac.uk/~mjfg/thesis_jy308.pdf
    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.

  19. 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.

  20. Linear Gaussian Models for Speech Recognition Antti-Veikko Ilmari…

    mi.eng.cam.ac.uk/~mjfg/thesis_avir2.pdf
    16 Nov 2007: statistics. a12. a22. a23. a33. a34. a44. a45. o1 o2 o3 o4 o5 o6.

  21. Discriminative Complexity Control and Linear Projections for Large…

    mi.eng.cam.ac.uk/~mjfg/thesis_xl207.pdf
    16 Nov 2007: State 1 2 3 4 5. Transition. Emittingstate. Nonemittingstate. PSfrag replacements a12 a23 a34 a45. ... a22 a33 a44. b3(oτ ). Figure 2.1 An HMM with a left-to-right topology and three emitting states.

  22. Model-based Approaches to Robust SpeechRecognition in Diverse…

    mi.eng.cam.ac.uk/~mjfg/thesis_yw293.pdf
    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).

  23. PhD Thesis

    mi.eng.cam.ac.uk/~mjfg/thesis_ky219.pdf
    16 Nov 2007: Adaptive Training for. Large Vocabulary Continuous. Speech Recognition. Kai Yu. Hughes Hall College. and. Cambridge University Engineering Department. July 2006. Dissertation submitted to the University of Cambridge. for the degree of Doctor of

  24. ����� � ��� � �� ��������������� ������� � !�#" ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/odell_thesis.pdf
    9 Aug 2005: a23. a22. a34. a33 a44. 2 3 4Entry1. ExitNa4Na12. b2(ot) b3(ot) b4(ot).

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