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Combining I-vector Representation and Structured Neural Networks for…
mi.eng.cam.ac.uk/~mjfg/icassp16_wu.pdf5 Apr 2016: 19] introduces a scaling factor on hidden-layer activationsand in [20], the differentiable pooling technique is used to obtainthe speaker-dependent compensation from a hidden-activation can-didate pool. ... 20, no. 1, pp.30–42, 2012. [2] Geoffrey -
CU-HTK April 2002 Switchboard System Phil Woodland, Gunnar Evermann,…
mi.eng.cam.ac.uk/reports/svr-ftp/woodland_rt02.pdf5 Jun 2002: 16 20 24 2833. 33.5. 34. 34.5. 35. 35.5. 36. 36.5. ... Transformsare not updated (ML-SAT transforms). Cambridge UniversityEngineering Department. Rich Transcription Workshop 2002 20. -
Reconstruction and Motion Estimation fromApparent Contours under…
mi.eng.cam.ac.uk/reports/svr-ftp/wong_bmvc99.pdf30 Jan 2000: The apparentcontoursweretracked by usingcubic B-splinesnakes[4](seefig. 2). Fundamentalmatrices[13, 20] betweentwo successive imageswereformedfrom thecorrespondingprojectionmatricesandcorrespondenceswerethenfoundby solv-ing for ... IEEE -
A HIGH-PERFORMANCE CANTONESE KEYWORD SEARCH SYSTEM
mi.eng.cam.ac.uk/~mjfg/ICASSP13_ibm2.pdf13 Jun 2013: 20, no. 8, pp. 2252–2264, 2012. [10] H. Soltau, G. Saon, and B. ... Interspeech, 2011, pp. 1433–1436. [20] D. Can, E. Cooper, A. Sethy, C. -
Back-off Action Selection in Summary Space-BasedPOMDP Dialogue…
mi.eng.cam.ac.uk/~sjy/papers/gljk09.pdf20 Feb 2018: j) 1. 20: else create new pt21: add b̂t to B22: Q(b̂t, ait. ... Atthe end of each dialogue, a reward is given to the systembased on the completion of the user goal and the efficiencyof the dialogue (20 is given for a successful completion -
BAYESIAN UPDATE OF DIALOGUE STATE FOR ROBUST DIALOGUE SYSTEMS ...
mi.eng.cam.ac.uk/~sjy/papers/thsy08.pdf20 Feb 2018: Figure 3 shows how the policy improves over timeand eventually scores slightly higher than the hand-crafted policy.The system was rewarded with 20 points if the system gave a venuethat -
TWO-WAY CLUSTER VOTING TO IMPROVE SPEAKER DIARISATION PERFORMANCE S.…
mi.eng.cam.ac.uk/reports/svr-ftp/tranter_icassp05.pdf25 Mar 2005: 63 20.78 21.15 32.06 37.18 10.74 25.19EP 15mix 30.30 19.27 18.11 29.84 37.18 10.74 23.48. ... 34 18.21 12.06 30.78 33.62 8.99 21.54EP 16mix 27.01 19.66 10.45 26.88 33.62 8.99 20.33. -
CU-HTK March 2001 Hub5 system Phil Woodland, Thomas Hain, ...
mi.eng.cam.ac.uk/reports/svr-ftp/woodland_lvcsr01.pdf31 May 2001: eval98 40 sides Swbd2 (eval98-swbd2), 40 sides of CHE (eval98-che). eval97sub 20 side subset of eval97 evaluation set (Swbd2 CHE). ... Hub5 Workshop 20. Woodland, Hain, Evermann & Povey: CU-HTK March 2001 Hub5 system. -
A DATA WEIGHTING SCHEMEFOR QUASISTATIC ULTRASOUND ELASTICITY IMAGING…
mi.eng.cam.ac.uk/reports/svr-ftp/chen_tr651.pdf13 May 2010: 1. 2.5. (f) (g) 0. 10. 20. Pixel. 0. 63. Str. -
Deep Learning for Speech Processing - An NST Perspective
mi.eng.cam.ac.uk/~mjfg/NST_2016.pdf29 Sep 2016: 19 of 67. Long-Short Term Memory Networks [20, 16]t. xt. ht1. ... i. time delay. f. ii io. ht1x. 20 of 67. Long-Short Term Memory Networks. • -
Incremental on-line adaptation of POMDP-based dialogue managers…
mi.eng.cam.ac.uk/~sjy/papers/gktb14.pdf20 Feb 2018: The rewardfunction was set to give a reward of 20 for successful dialogues,zero otherwise. ... Table 3: Evaluation of policies operating on the SF3Ext domainPolicy #Diags Reward Success(%) #Turnssim 306 9.20.6 80.72.3 6.90.3adapt 311 10.50.5 83.92.1 -
Context Adaptive Training with Factorized Decision Treesfor HMM-Based …
mi.eng.cam.ac.uk/~sjy/papers/yzmy10.pdf20 Feb 2018: Theperformance of emphasized word detection is shown in table 1. System # Det Rec (%) Pre (%) F -measureGMM 2.0 20.0 53.8 0.29MLLR 4.7 47.1 68.0 -
Machine Learning of Level and Progression in Second/Additional…
mi.eng.cam.ac.uk/~kmk/presentations/UBham_May2016_Knill.pdf12 May 2016: 10. 20. 30. 40. 50. A1 A2 B1 B2 C. %WER. ... System HL-dim Training Data. % Error. KNN - SUP 20.8 RNNLM 100 17.5 RNNLM 200 Semi-SUP 9.3. -
A Statistical Consistency Check for the SpaceCarving Algorithm. A. ...
mi.eng.cam.ac.uk/reports/svr-ftp/broadhurst_cipolla_bmvc2000.pdf25 Oct 2000: The imageswere capturedusing a Fuji-700 digital camera,and about 20-30 pointcorrespondenceswereenteredmanually. The imageswereprojectively calibratedusing[3], and were then upgradedto a metric calibration using [7]. ... Notice how the -
From Discontinuous To Continuous F0 Modelling In HMM-based…
mi.eng.cam.ac.uk/~sjy/papers/yuty10.pdf20 Feb 2018: GTD 23.44 7.06 20.25 8.10CF 12.58 7.29 11.90 8.43. Table 1: Objective comparison between MSDHMM extensionsand CF-HMM. ... The final 20 waves were then shuffled and presentedto the listeners in random order. -
Machine Intelligence Laboratory
mi.eng.cam.ac.uk/Main/GMT_4YP_20_3Main > GMT_4YP_20_3. Dr Graham Treece, Department of Engineering. -
wxRegSurf
mi.eng.cam.ac.uk/~ahg/wxRegSurf/lrhr.html12 Sep 2022: hr_femur_thickness.bin 0 0 20 999 0 0 1 0 -1 1 0 0 0. ... reg. file. The final line of the above example loads the two sets of cortical data, performs 20 smoothing cycles on the HR data, applies the similarity transformation from the. -
Scripts
mi.eng.cam.ac.uk/~gmt11/stradview/script.htm2 Mar 2023: with 20 frames of movement # saving both 'outline_000' etc and 'reslice_000' etc repeat 20 func ZOOM_3D up # zoom in the 3D window func ROTATE_3D left # and rotate ... 0 func SAVE_3D outline_ func SAVE_RESLICE reslice_ # reverse the previous animation -
Roberto Cipolla - Professor of Information Engineering
mi.eng.cam.ac.uk/~cipolla/publications_procs.htmVernon, volume LNCS 1843, volume 2, pages 20-36, Springer-Verlag, 2000. I. -
The Linear Transformation of LF Glottal Waveforms for Voice ...
mi.eng.cam.ac.uk/~sjy/papers/poyo08b20 Feb 2018: 0.5. 1. 0 5 10 15 20 25 30 35 40 450. ... 0.1. 0.2. 0 5 10 15 20 25 30 35 40 450.
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