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1 - 10 of 28 search results for katalk:za33 24 |u:mi.eng.cam.ac.uk where 0 match all words and 28 match some words.

  1. Results that match 1 of 2 words

  2. UNSUPERVISED TRAINING FOR MANDARIN BROADCAST NEWS AND…

    mi.eng.cam.ac.uk/~mjfg/wang_ICASSP07.pdf
    22 Jun 2007: SystemData bcmdev05. Select. ML MMI MPE. S0 — 29.2 26.7 25.3S1 — 26.1 23.3 21.8S2a — 27.7 25.9 24.7S2b CN08 27.9 25.8 ... 8S3a — 27.7 — 24.8S3b CN08 28.0 — 24.7.

  3. Discriminative Complexity Control and Linear Projections for Large…

    mi.eng.cam.ac.uk/~mjfg/thesis_xl207.pdf
    16 Nov 2007: 2.5 HLDA and LDA projection 24. 2.6 multiple HLDA projections 25.

  4. A Gaussian Mixture Model Spectral Representation for Speech…

    mi.eng.cam.ac.uk/~mjfg/thesis_mns25.pdf
    16 Nov 2007: 2.5.1 Vocal tract length normalisation 24. 2.5.2 Maximum likelihood linear regression 25. ... $ I / (2.23)3 /. $ $ I $ I - $ (2.24) $F 3 3 % / (2.25).

  5. PhD Thesis

    mi.eng.cam.ac.uk/~mjfg/thesis_ky219.pdf
    16 Nov 2007: 2.4.1.2 Minimum Phone Error (MPE) 23. 2.4.1.3 Minimum Classification Error (MCE) 24. ... 2.4.2 Weak-Sense Auxiliary Function and Parameter Re-estimation 24. 2.5 Bayesian Training of HMMs 29.

  6. PhD Thesis

    mi.eng.cam.ac.uk/~mjfg/thesis_kcs23.pdf
    16 Nov 2007: 2.3 Limitations of HMMs for Speech Recognition 24. 2.3.1 Explicit Temporal Correlation Modelling 25.

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

    mi.eng.cam.ac.uk/~mjfg/thesis_avir2.pdf
    16 Nov 2007: 3.1 State Space Models 24. 3.2 Bayesian Networks 25. 3.3 State Evolution Process 27. ... bank of triangular filters (eg. 24 channels). This smoothed power spectrum is compressed using.

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

    mi.eng.cam.ac.uk/~mjfg/talk_ita.pdf
    22 Feb 2007: 3-emitting state HMMs. ClassifierTraining Componentsλ α 10 20. HMM ML – 29.4 27.3C-Aug ML CML 24.2 –. HMM MMI – 25.3 24.8C-Aug MMI CML 23.4 –.

  9. Discriminative Models for Speech RecognitionM.J.F. Gales Cambridge…

    mi.eng.cam.ac.uk/~mjfg/mjfg_ita_margin.pdf
    30 May 2007: t=1. (γjm(t)/cjm γj (t)) (23). and. γjm(t) = P (qt = sjm|O1:T ; λ) (24). ... Thomas, U.S. Virgin Islands,December 2003. [24] A. Stolcke, E. Brill, and M.

  10. Discriminative Models for Speech RecognitionM.J.F. Gales Cambridge…

    mi.eng.cam.ac.uk/~mjfg/mjfg_ita.pdf
    22 Feb 2007: Nowthe features associated with the acoustic data are. Ta(O1:T , w) = φ(O1:T ; λ) (24). ... 24] G. Saon, D. Povey, and G. Zweig, “CTS decoding improvementsat IBM,” in EARS STT workshop, St.

  11. CAMBRIDGE UNIVERSITY ENGINEERING DEPARTMENT TRANSFORMATION STREAMS…

    mi.eng.cam.ac.uk/~mjfg/mjfg_csl.pdf
    3 May 2007: dropped. 9. where. c(i) = c(m)c(k) (23)µ(i) = A(m)1(µ(k) b(m)) (24)Σ(i) = A(m)1Σ(k)A(m)T1 (25). ... 24] J Pearl. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference.Morgan Kaufmann, 1988.

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