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1 - 10 of 48 search results for KaKaoTalk:PC53 24 / |u:mi.eng.cam.ac.uk where 0 match all words and 48 match some words.

  1. Results that match 1 of 2 words

  2. Joint Uncertainty Decoding for Noise Robust Speech Recognition H. ...

    mi.eng.cam.ac.uk/~mjfg/liao_INTER05.pdf
    19 Dec 2006: Uncertainty 1 4 16 256. Clean — 33.2. SPLICENo. 24.6 20.7 17.0 12.3FE-CMLLR 16.3 15.3 12.8 13.5.

  3. Royal Society Meeting on Geometry in Computer Vision

    mi.eng.cam.ac.uk/~cipolla/royal_society.html
    28 Nov 2006: Session 3: Grouping and Matching. Thursday 24 July, 09.30-12.30 (Chair: Dr A. ... Session 4: Geometry and Statistics. Thursday 24 July, 14.00-17.40 (Chair: Dr R.

  4. Modelling Dependencies in SequenceClassification: Augmented…

    mi.eng.cam.ac.uk/~mjfg/gales_UEA06.pdf
    22 Nov 2006: Cambridge UniversityEngineering Department. University of East Anglia Seminar 24. Modelling Dependencies in Sequence Classification: Augmented Statistical Models. ... Comp.EER (%). GMM A-GMM. 128 12.17 8.62256 11.24 7.88512 11.13 7.481024 10.43† 7.31.

  5. AUGMENTED STATISTICAL MODELS FOR SPEECH RECOGNITION M.I. Layton and…

    mi.eng.cam.ac.uk/~mjfg/layton_ICASSP06.pdf
    22 Nov 2006: HMM ML – 29.4 27.3C-Aug ML CML 24.2 –. HMM MMI – 25.3 24.8C-Aug MMI CML 23.4 –. Table 2. Classification error on the TIMIT core test ... A point of particular interest is that despite poorer statesegmentation—the sufficient statistics fix the

  6. Temporally Varying Model Parameters forLarge Vocabulary Continuous…

    mi.eng.cam.ac.uk/~mjfg/sim_INTER05.pdf
    22 Nov 2006: ãtj = max{atj , amin} (24). whereãtj is the floored scale factor andamin is the scale floor.In this paper,amin of 0.1 was used.

  7. DEVELOPMENT OF THE CUHTK 2004 MANDARIN CONVERSATIONAL TELEPHONESPEECH …

    mi.eng.cam.ac.uk/~mjfg/gales_ICASSP05.pdf
    22 Nov 2006: Devel-opment data, dev04, was made available for this task comprising2 hours of data, 24 conversations.

  8. Discriminative Adaptation for Speaker Verification C. Longworth and…

    mi.eng.cam.ac.uk/~mjfg/longworth_INTER06.pdf
    22 Nov 2006: ComponentsGMM A-GMM. EER(%) minDCF EER(%) minDCF. 128 12.17 0.5014 8.62 0.3714256 11.24 0.4704 7.88 0.3467512 11.13 0.4638 7.48

  9. JOURNAL OF IEEE TRANS. ACOUST., SPEECH, SIGNAL PROCESSING, JULY ...

    mi.eng.cam.ac.uk/~mjfg/sim_SAP06.pdf
    22 Nov 2006: The set of parameters,Θ(sm),. 1Using this form of auxiliary function yields the same update formulae asusing the extended Baum-Welch (EBW) algorithm [24], [25]. ... Wmpem =B2D. 2m B1Dm B0β. (c)m Dm. (23). where. B2 = Σ̂m (24).

  10. IEEE TRANS. ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2007 ...

    mi.eng.cam.ac.uk/~mjfg/gales_ASL.pdf
    22 Nov 2006: In addition to training GI models for BN systems theuse of Gender Dependent (GD) models has been found tobe advantageous [24]. ... 0.16 0.18 0.2 0.22 0.24 0.2612. 14. 16. 18. 20. 22.

  11. IEEE TRANS. ON SAP, VOL. ?, NO. ??, ????? ...

    mi.eng.cam.ac.uk/~mjfg/liu_ASL07.pdf
    22 Nov 2006: This sensitivity to outliers is a well known feature of the MMI criterion [24]. ... j))}. (24). Each Gaussian component is assumed to be independent of all others.

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