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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 -
DEVELOPMENT OF THE CUHTK 2004 RT04F MANDARIN CONVERSATIONALTELEPHONE…
mi.eng.cam.ac.uk/~mjfg/rt04f_mandarin.pdf23 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 -
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 -
CAMBRIDGE UNIVERSITYENGINEERING DEPARTMENT Automatic Transcription…
mi.eng.cam.ac.uk/~mjfg/hain_tr465.pdf23 Dec 2004: Results were obtained by re-scoring of 4-gramlattices. Feature Transform Swbd1 Swbd2 Cellular Total— 24.2 40.8 40.4 35.1. ... The resulting 4-gram LM is further interpolated with a class-based trigram languagemodel where the classes are automatically -
Cambridge STT Overview P.C. Woodland, H.Y. Chan, G. Evermann, ...
mi.eng.cam.ac.uk/research/projects/EARS/pubs/woodland_earsfeb04.pdf23 Mar 2004: Eval03 with CU-HTK P1-P2 System. Overall Swbd Fisher Male Female. h5train03b LM03 24.6 28.7 20.2 25.7 23.5h5train03b LM03Fsh3896 23.9 28.2 19.3 ... 25.0 22.8fisher3896 LM03Fsh3896 23.1 27.0 18.9 24.6 21.6fisher3896h5 LM03Fsh3896 22.7 26.6 18.5 24.2 21.1. -
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. -
Cluster Voting for Speaker Diarisation S.E.…
mi.eng.cam.ac.uk/reports/svr-ftp/tranter_tr476.pdf13 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. -
ICASSP04-v3.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/wang_icassp2004.pdf25 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. -
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 -
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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