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1 - 10 of 14 search results for `a33 a22 44` |u:mi.eng.cam.ac.uk

  1. Fully-matching results

  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. ... a a34 a. a22. 23. 44. 45. oo1. b b3 4()()b2.

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

    mi.eng.cam.ac.uk/~mjfg/ASRU_talk09.pdf
    5 Jan 2010: a22. 23. 44. 45. oo1. b b3 4()()b2. 1. (). (b) HMM Generative Model. • ... 12a. a a33. a a34 a. a22. 23. 44. 45. oo1.

  4. sig-004.dvi

    mi.eng.cam.ac.uk/~sjy/papers/gayo07.pdf
    20 Feb 2018: 33 44. 1 2 3 4 5. Y. 2. y1 y2 y3 y4 y5. ... 215. 216 HMM Structure Refinements. a a33 a22 44. 2 3 4 51a12 a23 a34 a45 y t y t1.

  5. 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.

  6. 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. ... a22. 23. 44. 45. oo1. b b3 4()()b2. 1. (). (a) Standard HMM phone topology.

  7. 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. ... a22. 23. 44. 45. oo1. b b3 4()()b2. 1. (). (a) Standard HMM phone topology.

  8. 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. ... a22. 23. 44. 45. oo1. b b3 4()()b2. 1. (). (a) Standard HMM phone topology.

  9. 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. ... a22. 23. 44. 45. oo1. b b3 4()()b2. 1. (). (c) Standard HMM phone topology.

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

    mi.eng.cam.ac.uk/~mjfg/ISM_talk.pdf
    9 Dec 2004: a22. 23. 44. 45. oo1. b b3 4()()b2. 1. (). (a) Standard HMM phone topology. ... SVM Rescoring#corrected/#pairs (% corrected). bigram LM trigram LM. 9 SVMs 44/1401 (3.1%) 41/1310 (3.1%)15 SVMs 55/2116 (2.6%) 43/1954 (2.2%). –

  11. 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. ... N1 — 5.44 3.54. • SVM generalises to unseen noise condition– N1 averaged over 05-20dB– largest gains from correctly handling large numbers of insertions.

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