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  2. ICASSP04-v3.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/wang_icassp2004.pdf
    25 May 2004: Adaptation hypothesis true transCN (27.0). MLLR 27.7 27.0 26.1MMI-DLT 27.5 26.8 24.8MPE-DLT 27.3 26.9 23.2.
  3. Diarisation Research at CUED Sue Tranter and Srinivasan Umesh ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/tranter_mdetechmay04.pdf
    29 Apr 2004: 29.44 0 6standard-BIC-judge, full cov 24.62 2 2standard-BIC-judge, diag cov 23.90 3 1standard-BIC-judge, 128mix GMM 23.76 5 1IDIAP-BIC-judge, full ... 37.92 10.74 24.62BIC-judge, diag cov 30.30 19.94 18.11 31.05 37.92 10.74 23.90BIC-judge, 128mix GMM
  4. 23 Dec 2004: Development data, dev04, was madeavailable for this task comprising 2 hours of data, 24 conversations.The 2003 evaluation data, taken from the LDC CallFriend data,eval03, was also used to evaluate ... The eval04 test set consists of about 1 hour of
  5. RAO-BLACKWELLISED GIBBS SAMPLING FOR SWITCHING LINEAR…

    mi.eng.cam.ac.uk/reports/svr-ftp/rosti_icassp2004.pdf
    22 May 2004: Togive an idea of the range of these N -best lists the oracle (best) er-ror rate on the tst data was 1.24% and the “idiot” (worst) errorrate was
  6. Cluster Voting for Speaker Diarisation S.E.…

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_tr476.pdf
    13 May 2004: 92 32.06 24.95Num Poss 27 9 3 (39)Best 19.94 36.46 31.74 24.68. ... miss Worst 31.96 37.96 32.06 27.44allowed Mean 24.63 37.45 31.95 25.83.
  7. Experiments with Fisher Data Gunnar Evermann, Bin Jia, Kai ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/evermann_sttmay04.pdf
    25 May 2004: System MPE Prior eval03 Male Female. MPE-GI Dynamic MMI 25.9 27.3 24.5MPE-GD MPE-GI model 25.6 27.1 24.1. ... Gaussianised 29.8 21.9 26.0CN 28.7 21.3 25.1. CNC 28.1 20.8 24.6. •
  8. Metadata at CUED: Progress, Plans, and Issues Marcus Tomalin, ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/tomalin_earsfeb04.pdf
    22 Mar 2004: BIC-global (2-way) 6.25 6.25 26.13 25.21BIC-local (2-way) 7.25 - 25.54 25.12BIC-local (2-way) - 6.75 26.47 24.27. • ... Approx. 8% absolute (24% relative) reduction in DER. • Stability also greatly increased: standard deviation when using many input
  9. paper.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/cipolla_bmvc04.pdf
    28 Jul 2004: 4] M. Fischler and R. Bolles. Random sample consensus: A paradigm for model fitting with applications to image analysisand automated cartography.Graphics and Image Processing, 24(6):381–395, 1981.
  10. Linear Gaussian Models for Speech Recognition

    mi.eng.cam.ac.uk/reports/svr-ftp/rosti_thesis.pdf
    8 Oct 2004: ix. 2.7 Summary 23. 3 Generalised Linear Gaussian Models 24. 3.1 State Space Models 24. ... bank of triangular filters (eg. 24 channels). This smoothed power spectrum is compressed using.
  11. CAMBRIDGE UNIVERSITYENGINEERING DEPARTMENT SWITCHINGLINEAR DYNAMICAL…

    mi.eng.cam.ac.uk/reports/svr-ftp/rosti_tr461.pdf
    29 Jan 2004: The LDS belongs to the subset of state space models called linear Gaussian models [24]. ... Alternatively, the derivation may bedone completely using properties of conditional Gaussian distributions and matrix algebra [24].

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