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Speaker Diarisation for Broadcast News
mi.eng.cam.ac.uk/reports/full_html/tranter_odyssey04.html/14 Jun 2004: 9.1. 25.54. 29.7. 46.14. CU. MIT. 2.1. 2.5. 5.3. 24.23. 24.7. ... Adv. Seg. Clust. Score. Metric. NONE. CUED. MIT. 24.23. Primary. CUED_TDT4. -
paper.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/cipolla_bmvc04.pdf28 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. -
DEVELOPMENT OF THE 2003 CU-HTK CONVERSATIONAL TELEPHONE…
mi.eng.cam.ac.uk/reports/svr-ftp/evermann_icassp2004.pdf27 May 2004: purpose WER. P1 supervision for VTLN 34.2P2 supervision for MLLR 28.4P3 lattice generation 24.8. ... System (P4) A B C DSAT HLDA SPron non-HLDA23.0 23.6 23.4 24.8. -
3D ULTRASOUND PROBECALIBRATION WITHOUT A POSITION SENSOR A. H. ...
mi.eng.cam.ac.uk/reports/svr-ftp/gee_tr488.pdf4 Sep 2004: top right 0.17 0.28 0.07 0.24 < 0.30bottom left 0.22 0.19 0.27 0.35 < 0.39bottom right 0.28 0.27 0.28 ... 3.5 MHz centre 0.24 0.43 0.33 0.14 < 0.43(12 cm) top left 0.43 0.55 0.55 0.49 < 0.75. -
2003ismar.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/klein03ismar.pdf11 Feb 2004: Tsai [24] introduces a rich camera model includingradial distortion and proposes a two-stage calibration tech-nique, consisting of an initial linear solution followed by anonlinear optimisation. ... Visual servoing-basedaugmented reality. In Proc. IEEE -
paper.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/liu_icassp2004.pdf29 May 2004: Gauss 24.0 20.7 20.7 17.7 16.0WER (%) 35.3 35.1 35.2 35.3 35.5. ... The 16 component systems was then iteratively split until thenumber of components was 24. -
Factor analysed hidden Markov models for speech recognition A-V.I. ...
mi.eng.cam.ac.uk/reports/svr-ftp/rosti_csl04.pdf22 May 2004: Factor analysed hidden Markov models for. speech recognition. A-V.I. Rosti, M.J.F. GalesCambridge University Engineering Department, Trumpington Street, Cambridge,. CB2 1PZ, UK. Abstract. Recently various techniques to improve the correlation model -
RAO-BLACKWELLISED GIBBS SAMPLING FOR SWITCHING LINEAR…
mi.eng.cam.ac.uk/reports/svr-ftp/rosti_icassp2004.pdf22 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 -
Linear Gaussian Models for Speech Recognition
mi.eng.cam.ac.uk/reports/svr-ftp/rosti_thesis.pdf8 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. -
CAMBRIDGE UNIVERSITYENGINEERING DEPARTMENT GENERALISEDLINEAR GAUSSIAN …
mi.eng.cam.ac.uk/reports/svr-ftp/rosti_tr420.pdf26 Jan 2004: The likelihood of an observation given thestate is simply. p(oj|x) = N(oj; Cx µ(o), Σ(o)) (24).
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