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Machine Intelligence Laboratory
mi.eng.cam.ac.uk/Main/AHGHe has authored and co-authored more than 200 papers. -
Abstract for rosti_csl04
mi.eng.cam.ac.uk/reports/abstracts/rosti_csl04.html27 Jul 2020: Abstract for rosti_csl04. Computer Speech and Language, 18(2):181-200, 2004. FACTOR ANALYSED HIDDEN MARKOV MODELS FOR SPEECH RECOGNITION. -
MultiMedia Document Retrieval (1997-2000) - References
mi.eng.cam.ac.uk/research/projects/Multimedia_Document_Retrieval/references.html23 Feb 2002: Proc. TREC-7, pp. 191-200 (Gaithersburg, Maryland, 1998). 6. S.E. Johnson [Reducing Word Error Rates of Found Speech: XPERT Tool for Transcription Analysis. -
UKspeech2017
mi.eng.cam.ac.uk/UKSpeech2017/posters/y_wang.pdf17 Nov 2017: Eval{1,2,3} sets (about 13 hours) contain spontaneous speech from 200 speakers with Gujarati, LA Spanish and mixed L1s, respectively. ... 5. Parse Tree. 7. Conclusion. Trn3 set contains trn1 and 200 hours selected from the unsupervised set. -
Abstract for gee_tr488
mi.eng.cam.ac.uk/reports/abstracts/biomed/gee_tr488.html27 Jul 2020: Semi-automatic image processing facilitates alignment of the beam and wires to within a tolerance of around 200 microns, despite the considerable beam thickness. -
TEMPLATE DESIGN © 2008www.PosterPresentations.com Phase Processing…
mi.eng.cam.ac.uk/UKSpeech2017/posters/e_loweimi.pdf17 Nov 2017: c) (d). 0 50 100 150Frame Index. 0. 100. 200. 300. ... 100. 200. 300. 400. Frequency. (H. z). k 0 = 3 k 0 = 5 k 0 = 7. -
Recent Improvementsin the CUED CTS SU System M. Tomalin ...
mi.eng.cam.ac.uk/research/projects/EARS/pubs/tomalin_mar05mde.pdf28 Apr 2005: Error Analysis. c.200 DEL errors analysed by hand:. • 40.7 %: before asyndetic clause boundaryEx: they destroyed all the national monuments () he destroyed a large area. • ... c.200 INS errors analysed by hand:. • 26.2 %: before potential -
Language Independent Bootstrapping for Automatic Speech Recognition…
mi.eng.cam.ac.uk/UKSpeech2017/posters/a_ragni.pdf17 Nov 2017: 403. 404. 50. 100. 150. 200. 250. 300. 350. 3762 7. ... I Cumulative state data usage statistics for 3-hour configuration (VLLP). 100 200 300 400 5000. -
Reconstruction and Motion Estimation fromApparent Contours under…
mi.eng.cam.ac.uk/reports/svr-ftp/wong_bmvc99.pdf30 Jan 2000: Images 1 and 5200 0 200. 400. 200. 0. 200. Images 2 and 3. ... 200. Images 4 and 5. Figure8: Imagesof the ellipsesandepipolarlines after convergence.Eachfigure showsthe overlappingof images and , for -GP& 555 # and ¤@@P 555. -
Optimisation of Fast LVCSR Systems Gunnar Evermann, Phil Woodland ...
mi.eng.cam.ac.uk/research/projects/EARS/pubs/evermann_stthomas03.pdf10 Dec 2003: 0. 0.5. 1. 1.5. 2. 0 200 400 600 800 1000. % ... 0. 0.2. 0.4. 0.6. 0.8. 1. 1.2. 1.4. 1.6. 0 200 400 600 800 1000. -
summaOverviewPoster.key
mi.eng.cam.ac.uk/UKSpeech2017/posters/s_renals.pdf17 Nov 2017: BBC Monitoring 200 journalists monitoring global audio, video, text news. Deutsche Welle Multilingual content generation and management. -
Global Optimisation of Neural Network Models Via Sequential…
mi.eng.cam.ac.uk/reports/full_html/freitas_icslp98.html/8 Mar 2000: 100 samples were used in the Monte Carlo simulations. Table 1 shows the average one-step-ahead prediction errors obtained for 10 runs, of 200 time steps each, on a Silicon -
EARS STT Overview Phil Woodland February 4th 2004 Cambridge ...
mi.eng.cam.ac.uk/research/projects/EARS/pubs/woodland_board_earsfeb04.pdf23 Mar 2004: Key Issues: 2004 Data. • New data planned for collection in 2004 includes– more Fisher English CTS data– 200 hours of Levantine Arabic CTS data– 200 hours of Mandarin CTS data– English -
PowerPoint プレゼンテーション
mi.eng.cam.ac.uk/UKSpeech2017/posters/e_tsunoo.pdf3 Jul 2018: Results. # of Clusters 50 100 150 170 200 TextTiling [Hearst 1997] 0.484 DNN-HMM [Yu et. -
Effects of Out of Vocabulary Words in Spoken Document Retrieval
mi.eng.cam.ac.uk/reports/full_html/woodland_sigir00.html/14 Aug 2000: BRF is run on the parallel collection adding the best 200 new terms taken from the top 10 documents to the original document with a term frequency equal to 1. -
Experiments with Fisher Data Gunnar Evermann, Bin Jia, Kai ...
mi.eng.cam.ac.uk/research/projects/EARS/pubs/evermann_sttmay04.pdf25 May 2004: Gaussianisation. • Transform any distribution to standard Gaussian N(0, I). 20 15 10 5 0 5 10 15 200. ... 0.01. 0.02. 0.03. 0.04. 0.05. 0.06. 0.07. 0.08. 0.09. 0.1. 20 15 10 5 0 5 10 15 200. -
Comparison between Hessian Free and Natural Gradient training for DNN …
mi.eng.cam.ac.uk/UKSpeech2017/posters/a_haider.pdf20 Nov 2017: Linear Conjugate Gradient. Experimental Setup. I Experiments used ASRU 2015 MGB challenge data.I Training set : 200 hr MGB1 training dataset.I Validation : the official MGB1 dev.sub set (5.5 -
Spoken Document Retrieval for TREC-9 at Cambridge University
mi.eng.cam.ac.uk/reports/full_html/johnson_trec9.html/23 Feb 2002: s1. -. -. 12. 26. 59.11. 57.14. 54.04. 50.65. s1. 200. ... 10. -. -. 50.76. 49.42. 52.91. 51.67. s1. 200. 10. 8. -
RTSC MAGPHASE VOCODER: MAGNITUDE ANDPHASE ANALYSIS/SYNTHESIS FOR…
mi.eng.cam.ac.uk/UKSpeech2017/posters/f_espic.pdf19 Jan 2018: rate thanthe 200 frames-per-second typical in many sys-tems. -
paper_pcw_v1.dvi
mi.eng.cam.ac.uk/research/projects/AGILE/publications/park_interspeech09.pdf7 Oct 2009: Frame accuracies are given foreachof the 200 hours subset MLPs in Table 1 and all subset networksgive similar results. ... 1The best performing 200 hours subsets MLPs.2The GALEeval07 non-sequestered testset version is used. -
MULTI-DIRECTIONALSCATTERING MODELSFOR 3D ULTRASOUND U. Z. Ijaz, R. J. …
mi.eng.cam.ac.uk/reports/svr-ftp/Ijaz_tr661.pdf18 Jan 2011: a) (b). (c) PHONG2D (d, t, µ, n = 200) (d) PHONG2D (d, t, µ, n). ... a) (b). (c) PHONG2D (d, t, µ, n = 200). (d) PHONG2D (d, t, µ, n). -
4 BEAR, TAYLOR: VISUAL SPEECH RECOGNITION: A MINI REVIEW ...
mi.eng.cam.ac.uk/UKSpeech2017/posters/h_bear_poster2.pdf23 Dec 2017: To builda speaker dependent lipreading system, we can use, for example, 800 utterances as trainingsamples and 200 as test samples. ... and we wouldtest on the 200 samples of speaker Y and vice versa. -
GLOBAL OPTIMISATION OF NEURAL NETWORK MODELSVIA SEQUENTIAL…
mi.eng.cam.ac.uk/reports/svr-ftp/freitas_icslp98.pdf10 Apr 2000: 100 samples were used in theMonte Carlo simulations. Table 1 shows the average one-step-ahead prediction er-rors obtained for 10 runs, of 200 time steps each, on aSilicon Graphics ... 10. 12. 34. 0. 50. 100. 150. 2000. 100. 200. 300. -
TRAINING AND ADAPTING MLP FEATURES FOR ARABIC SPEECH RECOGNITION
mi.eng.cam.ac.uk/research/projects/AGILE/publications/park_icassp09.pdf7 Oct 2009: The 260K word-list. Training data Test Acc. (%)200 hours 63.551350 hours 65.16. ... Table 1. Frame accuracies of the 200 hours and the 1350 hours MLP. -
The CUHTK-Entropic 10xRT Broadcast News Transcription SystemJ.J.…
mi.eng.cam.ac.uk/reports/svr-ftp/odell_darpa99.pdf8 Mar 2000: 0. 50. 100. 150. 200. 250. 300. 350. 0 50 100 150 200. ... 0. 200. 400. 600. 800. 1000. 1200. 0 50 100 150 200 250 300 350. -
Recent Experiments with HTK Broadcast Newsand Conversational…
mi.eng.cam.ac.uk/research/projects/EARS/pubs/woodland_earsjan03.pdf17 Jan 2003: 100. 200. 300. 400. 500. 600. 700. 800. Figure 1: Distribution of #Gauss among states. • ... LogDet> -0.0051<BlockInfo> 1 3<Block> 1. <XForm> 3 31.01 0.30 0.200.10 0.97 0.200.10 0.20 1.10. -
Spoken Document Retrieval for TREC-7 at Cambridge University
mi.eng.cam.ac.uk/reports/full_html/johnson_trec7.html/30 Mar 2000: Postscript Version : Proc. TREC-7, NIST SP 500-242, pp. 191-200 (July 1999). ... Misrecognising every word will in practise give a TER of below 200% as the word ordering is unimportant, so some recognition errors will cancel out. -
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: 0.8. 1. 1.2. 1.4. 1.6. 0 200 400 600 800 1000. -
noise_tech_report.dvi
mi.eng.cam.ac.uk/research/projects/Deconvolution_Of_3D_Ultrasound/parameter_initialisation_tr640.pdf3 Aug 2010: 10. 020. 30. 40. 50. 60. 70. 100 200 300 400 500 600. ... 11. 020. 30. 40. 50. 60. 70. 100 200 300 400 500 600. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/logan_euro97.pdf9 Aug 2005: Fre. quen. cy (. kHz). 0 200 400 600 8000. 2. ... Time (ms). Fre. quen. cy (. kHz). 0 200 400 600 8000. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/lawn_bmvc94.pdf9 Aug 2005: 100. 150. 200. 250. 1. 50 100 150 200 250 300 350. ... 50. 100. 150. 200. 250. 0 50 100 150 200 250 300 350. -
SENSORLESS RECONSTRUCTIONOF UNCONSTRAINED FREEHAND 3D ULTRASOUND DATA …
mi.eng.cam.ac.uk/reports/svr-ftp/housden_tr553.pdf22 May 2006: SENSORLESS RECONSTRUCTIONOF UNCONSTRAINED FREEHAND. 3D ULTRASOUND DATA. R. J. Housden, A. H. Gee,G. M. Treece and R. W. Prager. CUED/F-INFENG/TR 553. May 2006. University of CambridgeDepartment of Engineering. Trumpington StreetCambridge CB2 1PZ. -
Semi-supervised Learning of Joint DensityModels for Human Pose…
mi.eng.cam.ac.uk/reports/svr-ftp/navaratnam_semi_supervised.pdf14 Sep 2006: The question then is to what extent adding marginal samples. 0 50 100 150 200 250 3002. -
A Sparse Probabilistic Learning Algorithm for Real-Time Tracking…
mi.eng.cam.ac.uk/reports/svr-ftp/williams_iccv03.pdf23 Nov 2003: 0 50 100 150 200 250 300. 0. 10. 20. 30. -
The Cambridge University March 2005 Speaker Diarisation System R. ...
mi.eng.cam.ac.uk/reports/full_html/sinha_eurospeech05.html/paper.pdf22 Sep 2005: 0 200 400 600 800 1000 12000. 0.5. 1. 1.5. 2. -
TPAMI0110-0304-1 1..13
mi.eng.cam.ac.uk/reports/svr-ftp/williams_pami2005.pdf20 Apr 2005: In some of the experimental sequences,the displacement expert loses track. On these occasions, theRMS error becomes meaningless (being wrong by 100 pixelsis no better or worse than 200 pixels). ... These results were taken from tracking a 200 frame -
C:/SFWDoc/Academic/Publications/2005/BMVC_2005/FinalPaper/bmvc_05_sfwo…
mi.eng.cam.ac.uk/reports/svr-ftp/sfwong_bmvc05.pdf21 Sep 2006: Furthermore, since the size of the ROIs may vary from one videoto the other, the final MGO images are resized to the corresponding refined images withstandard size (which is 200 200 ... 3.2 Dimension Reduction by PCA. In order to reduce the number of -
Real-time Freehand 3D Ultrasound Calibration P-W. Hsu, R. W. ...
mi.eng.cam.ac.uk/reports/svr-ftp/hsu_tr565.pdf19 Feb 2007: 10. 250 200 150 100 50 0 501.5. 1.6. 1.7. 1.8. -
NONPARAMETRIC SURFACE REGRESSIONFOR STRAIN ESTIMATION J. E. Lindop,…
mi.eng.cam.ac.uk/reports/svr-ftp/lindop_tr598.pdf6 Mar 2008: 0 50 100 150 200 2500. 0.2. 0.4. 0.6. 0.8. 1. ... Although the artefact’s appearance. 11. (a1) (a2) (b1) (b2). 100 150 200 250 300 350. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/burrows_icassp95.pdf9 Aug 2005: 0 1000 2000 3000 4000 5000 6000 7000 8000300. 200. 100. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/wu_tr94.pdf9 Aug 2005: A4 68@BH0. LP(10) Residual. -500. 0. 500. 100 200. LP(10) Residual Spectrum. ... 2000. 100 200. NLP(10-2) Residual. -500. 0. 500. 100 200. Original Spectrum. -
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL.…
mi.eng.cam.ac.uk/reports/svr-ftp/kykwong_pami03.pdf5 Dec 2003: 50 100 150 200 250. 160. 180. 200. 220. 240. 260. ... 200. 220. 240. 260. 280. 300. 320. 340. 100 101 102 103 104 105 106 107 108 109. -
TextonBoost: Joint Appearance, Shape andContext Modeling for…
mi.eng.cam.ac.uk/reports/svr-ftp/shotton_eccv06.pdf15 Feb 2006: 9. (a)0 100 200 300 400 500. 0. 2. 4. 6. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/reinhard_icassp98.pdf9 Aug 2005: True. Pos. itive. Rat. e. ROC curve for diphone bee for female speaker.0 50 100 150 200 250 300. -
report.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/ijaz_tr635.pdf20 Aug 2009: Table 2: RMSE(mm) for the in vitro experiments. A total of 200 trials were performed on 5 datasets. ... For each similarity measure, 5 simulations were performedper dataset (see Table 2) giving a total of 200 simulations over four optimisation algorithms -
CAMBRIDGE UNIVERSITYENGINEERING DEPARTMENT Automatic Transcription…
mi.eng.cam.ac.uk/reports/svr-ftp/hain_tr465.pdf18 Dec 2003: TheCallHome English (CHE) corpus consists of a total of 200 conversations between family membersand close friends, no restriction was placed on the conversation topics. ... Criterion Training set τ I train eval98ML h5train00sub — 47.8 46.5MMI -
IEEE TRANS. ON SAP, VOL. ?, NO. ??, ????? ...
mi.eng.cam.ac.uk/research/projects/AGILE/publications/liu_ASL07.pdf10 Oct 2007: IEEE TRANS. ON SAP, VOL? , NO? ,? 200? 1. Automatic Model Complexity Control Using. ... 200? 7. as the average phone correctness of all possible word sequences {W̃},. -
SPOKEN DOCUMENT RETRIEVAL FOR TREC-7 AT CAMBRIDGE UNIVERSITY S.E. ...
mi.eng.cam.ac.uk/reports/svr-ftp/johnson_trec7.pdf8 Mar 2000: Note, not producing any output gives a TER of 100%whereas misrecognising every word as on OOV word produces a TERof 200%, due to each substitution error counting as both an ... Misrecognising every word will in practise givea TER of below 200% as the -
Reducing Word Error Rates of Found Speech -XPERT Tool ...
mi.eng.cam.ac.uk/reports/svr-ftp/johnson_tr330.pdf10 Apr 2000: C,"understand","understand",413.300413.880:C,"why","why",413.880414.080:C,"it","it",414.080414.200:C,"makes","makes",414.200414.420:C,"a","a",414.420414.490:C," -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/logan_icassp97.pdf9 Aug 2005: log. spec. trum. ÐA[_nZGaIlhji[WcVfjap]VQds]£9apVQ! CxQ$agZ rappjiZmW1xnLÂf]bU$xnxnZGap]Mq@xn[haLº. 0 50 100 150 200 250 300 350 400 450 5000.
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