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is-05-hvs6_final
mi.eng.cam.ac.uk/~sjy/papers/seyo05.pdf20 Feb 2018: 52 class n-gram 26.3 25.0 24.9 HVS_52 21.7 20.4 20.1. Table 1: Perplexity for models of varied stack depths trained for 250 iterations. -
Part IA Computing CourseLent Term Software Design Exercise Roberto ...
mi.eng.cam.ac.uk/~cipolla/resource/lent.pdf12 Apr 2022: and balance arrays (day 0) to be 20.0 and 20000.0 respectively. ... 20. 8 Notes on Implementation of Functions of Part II. 8.1 Electronic trading library functions. -
Evermann, Kim, Wang, Woodland et al.: CU-HTK Fast System ...
mi.eng.cam.ac.uk/research/projects/EARS/pubs/evermann_rt03s.pdf23 Jun 2003: cluster of IBM x335 dual Xeons– SunGrid batch queuing system (400k jobs since Nov’02)– for eval runs: keep all data local, use 20 fastest single CPUs (2.8GHz). ... 0 26.1 23.7P3.3-cn 20.4 24.3 26.6 24.0final 19.9 23.5 25.8 23.3. -
paper.dvi
mi.eng.cam.ac.uk/~mjfg/liao_INTER06.pdf22 Nov 2006: Thefront-end uncertainty schemes used diagonal transformations. SNR(dB)System 20 15 10 5. ... Number of SNR(dB)System Transforms 20 15 10 5. Diagonal Transformations1 3.33 5.92 13.35 31.96. -
Online_ASRU11.dvi
mi.eng.cam.ac.uk/~sjy/papers/gjty11.pdf20 Feb 2018: TABLE IVCOMPARISON BETWEEN WORD ERROR RATES FOR DIFFERENT CORPORA. Word error rateSimulator trained policy 20.85Online learning 22.93Random policy 25.22. ... 10. 20. 30. 40. 50. 60. 70. 80. 90. 100. Word error rate. -
poyosp08
mi.eng.cam.ac.uk/~sjy/papers/dpyo08.pdf20 Feb 2018: Subjective evaluation. A perceptual test using a panel of 20 listeners was carried out. ... T - O 0.66 0.20 0.14. Table 8: Preference test results. -
A DATA-DRIVEN SPOKEN LANGUAGE UNDERSTANDING SYSTEM Yulan He Steve ...
mi.eng.cam.ac.uk/~sjy/papers/heyo03b.pdf20 Feb 2018: 0 5 10 15 20 252.2. 2.7. 3.2. 3.7. 4.2. Hypothesis recognized list size (N in Nbest) for NOV93. ... 20] K. Hacioglu and W. Ward, “Combining language models:Oracle approach,” in Human Language Technology Confer-ence, San Diego, CA, Mar. -
paper.dvi
mi.eng.cam.ac.uk/~mjfg/liao_ICASSP07.pdf15 Aug 2007: Compensation Noise Est. Type %WER. None — 20.8. JointML VTS 19.1ML Joint 18.8. ... The best training scheme was. the JAT system, which exceeded matched and multistyle with VTSperformance at both 20 and 14 dB SNR. -
Scaling Up POMDPs for Dialog Management: The “Summary POMDP” ...
mi.eng.cam.ac.uk/~sjy/papers/wiyo05.pdf20 Feb 2018: 2 To form a baseline, 20,000 dialog turns were then run with the. ... The summary POMDP method was then applied using 20,000 dialog turns, 50 belief points and 50 iterations. -
DISTRIBUTED DIALOGUE POLICIES FOR MULTI-DOMAIN STATISTICAL…
mi.eng.cam.ac.uk/~sjy/papers/gkty15a.pdf20 Feb 2018: allocates 1 at each turn to encourage shorterdialogues, plus 20 at the end of each successful dialogue. ... Each user was assigned specific tasksin the SFRestaurant subdomain and then asked to call the system ina similar set-up to that described in [20, -
14 INGENIA INGENIA ISSUE 54 MARCH 2013 15 Talking ...
mi.eng.cam.ac.uk/~sjy/papers/youn13.pdf20 Feb 2018: Typical word error rates are now between 3 and 8% for clean, carefully spoken speech, rising to 20% or greater for conversational speech in noisy environments. ... XXXXXXTALKING TO MACHINES. INGENIA ISSUE 54 MARCH 2013 21 20 INGENIA. -
Real user evaluation of spoken dialogue systems using Amazon ...
mi.eng.cam.ac.uk/~sjy/papers/jkgm11.pdf20 Feb 2018: complete at least 20 dialoguesduring the session, under continuous supervision of a researchteam member. ... Trial # users average # calls median # callsAMT 140 6.5 2Cambridge 17 24.4 20. -
Uncertainty management for on-line optimisation of a…
mi.eng.cam.ac.uk/~sjy/papers/dgcg11.pdf20 Feb 2018: A positive reward of 20 isgiven at the end of the dialogue if the DM managed to fulfilthe user request and a penalty of 1 is applied per system turnto encourage ... The new exploration schemes were evaluated in this paperusing GP-SARSA. In the future, -
A NORMALIZATION METHODFOR AXIAL-SHEAR STRAIN ELASTOGRAPHY L. Chen, R. …
mi.eng.cam.ac.uk/reports/svr-ftp/chen_tr645.pdf13 May 2010: effect very similar to that observed with non-axially aligned,elliptical inclusions [20, 21]. ... This is very likely the “fillin” effect [20, 21]. 6. (a) 10 mm 0. -
Natural Belief-Critic: a reinforcement algorithm for parameter…
mi.eng.cam.ac.uk/~sjy/papers/jtkm10.pdf20 Feb 2018: The final system was evaluated as in the firsttask; although in this case, the training and evaluation procedurewas executed 20 times. ... by 10%-20% in comparison with the rewards obtained whenusing the handcrafted parameters. -
naacl.dvi
mi.eng.cam.ac.uk/~sjy/papers/stwy07.pdf20 Feb 2018: Usergoals are randomly generated and an (arbitrary) rewardfunction assigning 20 points for successful completionand -1 for every dialogue turn is used. -
Evaluation of Statistical POMDP-basedDialogue Systems in Noisy…
mi.eng.cam.ac.uk/~sjy/papers/ybgh14.pdf20 Feb 2018: This isdone by letting the dialogue system interact with a user simulator[20]. ... vol. 7, no. 3, 2011. 20. J. Schatzmann, B. Thomson, K. Weilhammer, H. -
DISCRIMINATIVE SPOKEN LANGUAGE UNDERSTANDINGUSING WORD CONFUSION…
mi.eng.cam.ac.uk/~sjy/papers/hgtt12.pdf20 Feb 2018: F-score. C.Net. ContextPhoenix. Predicted F-score. 0 20 40 60 80 100. ... 20,no. 4, pp. 495–514, Oct. 2006. [20] M. Gašić, P. Tsiakoulis, M. -
SPOKEN LANGUAGE UNDERSTANDING FROM UNALIGNED DATA USINGDISCRIMINATIVE …
mi.eng.cam.ac.uk/~sjy/papers/mgjk09.pdf20 Feb 2018: by specifying a VoiceXML grammarthat instantiates slot values. Within the past 20 years, research on spoken language under-standing (SLU) has produced models that alleviate these issuesby learning to derive a ... 94.20 95.26TownInfo dataset with ASR -
The Development of the Cambridge UniversityRT-04 Diarisation System…
mi.eng.cam.ac.uk/research/projects/EARS/pubs/tranter_rt04.pdf15 Feb 2005: sorting didev03 eval03 sttdev04 dev04f2 devallnone 18.0 15.9 21.2 26.9 20.3time 17.5 16.7 21.5 25.7 20.2spkr-start 17.5 17.9 ... 18.5. 19. 19.5. 20. mea. n D. ER. on. all. 24 d. -
POLICY OPTIMISATION OF POMDP-BASED DIALOGUE SYSTEMS WITHOUT…
mi.eng.cam.ac.uk/~sjy/papers/ghtt12.pdf20 Feb 2018: It can be shown [20] that the marginal likelihood of the observedrewards is modelled by. ... 20] M Gašić, Statistical Dialogue Modelling, PhD thesis, Univer-sity of Cambridge, 2011. -
sigdial11_sdc10-Feb27-V2
mi.eng.cam.ac.uk/~sjy/papers/bbch11.pdf20 Feb 2018: Table 4: Average dialogue WER. 0 20 40 60 80 100. ... WER for the three fully tested systems. 0 20 40 60 80 100. -
lect1.dvi
mi.eng.cam.ac.uk/~mjfg/local/4F10/lect1_pres.pdf10 Nov 2015: Bayes’ Rule is sometimes remembered as. posterior likelihood prior. 20 Engineering Part IIB: Module 4F10 Statistical Pattern Processing. ... 10. 20. 30. 40. 50. 60. 70. 80. 90. 100. False Positive. -
lect3.dvi
mi.eng.cam.ac.uk/~mjfg/local/4F10/lect3.pdf10 Nov 2015: 05. 1015. 2025. 0. 5. 10. 15. 20. 250. 0.05. 0.1. -
williams2006aaai.dvi
mi.eng.cam.ac.uk/~sjy/papers/wiyo06b.pdf20 Feb 2018: 10. 15. 20. 0.05. 0.10. 0.15. 0.20. 0.25. 0.30. 0.35. 0.40. ... 0.10. 0.15. 0.20. 0.25. 0.30. 0.35. 0.40. 0.45. 0.50. 0.55. 0.60. -
3_2_ransac
mi.eng.cam.ac.uk/~cipolla/lectures/4F12/Slides/4F12-ImageStitching.pdf27 Oct 2020: 20. 2-view Rotation Estimation• Remove outliers, can now solve for R using least squares. -
SYSTEM COMBINATION AND SCORE NORMALIZATION FOR SPOKEN TERM DETECTION
mi.eng.cam.ac.uk/~mjfg/ICASSP13_ibm1.pdf13 Jun 2013: First, we show score normaliza-tion methodology that improves in average by 20% keyword searchperformance. ... 20–27. [20] X. Cui, J. Xue, X. Chen, P. A. Olsen, P. -
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. -
Machine Intelligence Laboratory
mi.eng.cam.ac.uk/Main/GMT_4YP_20_2Main > GMT_4YP_20_2. Dr Graham Treece, Department of Engineering. -
Kate Knill - Biography
mi.eng.cam.ac.uk/~kmk/bio.html18 Mar 2022: As Languages Manager (2000 - 2002), she led a cross-site team that developed over 20 languages for speech recognition and speaker verification. -
Index of /~cipolla/lectures/4F12/Slides
mi.eng.cam.ac.uk/~cipolla/lectures/4F12/Slides/4F12-notes-3.pdf 20-Oct-2023 16:50 1.9M. -
UK Speech Conference 2017 Programme
mi.eng.cam.ac.uk/UKSpeech2017/programme.html23 Dec 2017: Christine Evers, Imperial College. 14:50-15:20. CUED - LT1. ... 15:20-15:35. CUED - LR3A. Break (tea and coffee). 15:35-16:50. CUED - LR3. -
paper.dvi
mi.eng.cam.ac.uk/~sjy/papers/yswy07.pdf20 Feb 2018: Dialogs. Ave. rag. e R. etu. rn. 0% 5% 10% 15% 20%. -
Progress in English Conversational TelephoneSpeech Transcription Khe…
mi.eng.cam.ac.uk/research/projects/EARS/pubs/sim_sttmar05.pdf12 Apr 2005: S6 15K (36) 32.1 24.3 28.3 24.3. S1 6K (28)8. 27.9 20.2 24.2 20.5S4 9K (36) 26.8 19.5 23.3 ... S4—. 826.7 19.6 23.3 20.0. 9K 26.3 18.9 22.7 19.4. S6 — 8 26.5 19.4 23.0 19.5. -
Diarisation Research at CUED Sue Tranter and Srinivasan Umesh ...
mi.eng.cam.ac.uk/research/projects/EARS/pubs/tranter_mdetechmay04.pdf29 Apr 2004: Appendix - Cluster Voting Results by Show. System ABC VOA PRI NBC CNN MNB TOTALCUED-diary-bic (input 1) 32.03 20.78 21.40 32.06 37.92 10.74 ... 12CUED-diary-cost (input 2) 29.26 19.82 20.48 31.56 37.18 29.34 27.09Best CVOS score 26.71 18.43 18.11 29.84 37 -
solutions2.dvi
mi.eng.cam.ac.uk/~mjfg/local/4F10/solutions2.pdf29 Nov 2016: 01. ] [. 20. ]. (c) There are multiple solutions for α (though a unique decision boundary) to thisas it is an under-specified problem. -
BAYESIAN DIALOGUE SYSTEM FOR THE LET’S GO SPOKEN DIALOGUE ...
mi.eng.cam.ac.uk/~sjy/papers/tykg10.pdf20 Feb 2018: 0 20 40 60 80 100. 0.0. 0.2. 0.4. 0.6. 0.8. -
Recent Improvementsin the CUED CTS SU System M. Tomalin ...
mi.eng.cam.ac.uk/research/projects/EARS/pubs/tomalin_mar05mde.pdf28 Apr 2005: 20.4 %: before co-ordinating conjunctionEx: that’s unbiased honesty () but then again. ... 20.4 %: before potential Discourse MarkerEx: on the other hand well by telling the truth. -
ENGINEERING TRIPOS PART IIB ELECTRICAL AND INFORMATION SCIENCES…
mi.eng.cam.ac.uk/~cipolla/resource/4F12exam.pdf12 Apr 2022: 20%]. (ii) Give an expression for computing the intensity of a smoothed pixel. ... 20%]. (c) Outline an algorithm to recover the elements of the projection matrix. -
Learning Domain-Independent Dialogue Policies via…
mi.eng.cam.ac.uk/~sjy/papers/wsws15.pdf20 Feb 2018: System Reward Success (%) #TurnsDIPin-domain 12.50.3 98.31.2 7.20.3DIPtransferred 12.20.4 97.80.9 7.40.3. ... Williams. 2013. POMDP-based statisticalspoken dialogue systems: a review. Proceedings ofthe IEEE, PP(99):1–20. -
Counter-fitting Word Vectors to Linguistic Constraints Nikola…
mi.eng.cam.ac.uk/~sjy/papers/motg16.pdf20 Feb 2018: descent (SGD) for 20 epochs.An end-to-end run of counter-fitting takes less thantwo minutes on a laptop with four CPUs. -
PARAMETER LEARNING FOR POMDP SPOKEN DIALOGUE MODELS B. Thomson, ...
mi.eng.cam.ac.uk/~sjy/papers/tjgk10.pdf20 Feb 2018: 0 10 20 30 40 5010. 5. 0. 5. 10. Mean r. ... For. a dialogue of length T , the reward is computed as 20 Tif the dialogue is successful and 0 T otherwise. -
slides.dvi
mi.eng.cam.ac.uk/~mjfg/Bilbao14/talk.pdf25 Jun 2014: Cambridge University. Engineering DepartmenteNTERFACE June 2014 20. Controllable and Adaptable Statistical Parametric Speech Synthesis Systems. ... recognition in different environments [19]/speaker identification [20]. Cambridge University. Engineering -
lect1.dvi
mi.eng.cam.ac.uk/~mjfg/local/4F10/lect1.pdf10 Nov 2015: Bayes’ Rule is sometimes remembered as. posterior likelihood prior. 20 Engineering Part IIB: Module 4F10 Statistical Pattern Processing. ... 10. 20. 30. 40. 50. 60. 70. 80. 90. 100. False Positive. -
Phrase-based Statistical Language Generation usingGraphical Models…
mi.eng.cam.ac.uk/~sjy/papers/mgjk10.pdf20 Feb 2018: dimensions (p <. 05). The largestincrease is observed using 20 utterances, i.e. thenaturalness increases by. ... AL-20 = activelearning with 20 utterances, Rand = random sampling! "##! "$%! "&'!"(%!"). "%%. "%#. "%'. "$! "$. "$. $! "#$%$#. &'(#)$"%,(". ,- -
4F12-examples-2.dvi
mi.eng.cam.ac.uk/~cipolla/lectures/4F12/Examples/4F12-examples-2.pdf17 Oct 2022: The camerais calibrated by observing the image of three markers placed 0, 20 and 30m alongthe track. -
1 Structured Log Linear Models for Noise RobustSpeech Recognition ...
mi.eng.cam.ac.uk/~mjfg/zhang10.pdf8 Sep 2010: 3.86 3.63 3.3305 11.20 10.02 9.16 8.6600 29.55 28.00 25.09 23.90.
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