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slides_part1.dvi
mi.eng.cam.ac.uk/~kmk/presentations/TutorialIC_Sep2015_part1_Knill.pdf12 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. -
Acoustic Modelling for Speech Recognition:Hidden Markov Models and…
mi.eng.cam.ac.uk/~mjfg/ASRU_talk09.pdf5 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. -
sig-004.dvi
mi.eng.cam.ac.uk/~sjy/papers/gayo07.pdf20 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. -
Discriminative Models for Speech Recognition Mark Gales 1 February ...
mi.eng.cam.ac.uk/~mjfg/talk_ita.pdf22 Feb 2007: 12a. a a33. a a34 a. a22. 23. 44. 45. oo1. -
Machine Learning for Speech & LanguageProcessing Mark Gales 28 ...
mi.eng.cam.ac.uk/~mjfg/FCSW_talk.pdf19 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. -
Augmented Statistical Models for SpeechRecognition Mark Gales &…
mi.eng.cam.ac.uk/~mjfg/Edin_talk.pdf5 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. -
Sequence Kernels for Speaker and SpeechRecognition Mark Gales - ...
mi.eng.cam.ac.uk/~mjfg/jhu09.pdf16 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. -
slides.dvi
mi.eng.cam.ac.uk/~mjfg/gales_AUG08.pdf15 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. -
SVMs, Generative Kernels & Maximum MarginStatistical Models Mark…
mi.eng.cam.ac.uk/~mjfg/ISM_talk.pdf9 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%). – -
Model-Based Approaches to Robust SpeechRecognition Mark Gales with…
mi.eng.cam.ac.uk/~mjfg/talk_kcl.pdf13 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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