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  1. Results that match 1 of 2 words

  2. 20 Feb 2018: Per turn reward was set to -1and final reward 20 for task success else 0. ... In Proc of the IEEE, vol-ume 99, pages 1–20. A Training Constraint/Loss Function.
  3. 20 Feb 2018: 20% 19.3% 60.7%. 21.3% 47.3% 31.3%. Figure 2: Preference scores for each F0 prediction method andemotion. ... Angry Surprised Sad Can’t decideAngry 99.3% 0.7% 0% 0%. Surprised 20.0% 66.0% 0% 14.0%Sad 0.7% 0% 96.0% 3.3%.
  4. lect14

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lect14.2up.pdf
    10 Nov 2015: 0.1 0.2 0.5 1 2 5 10 20 40. 0.1. 0.2. ... 0.5. 1. 2. 5. 10. 20. 40. False Alarm probability (in %). Miss. pro. babi. lity (i. n %. ). GMM SVM. MAP (τ)EER.
  5. Engineering Tripos Part IIB FOURTH YEAR Paper 4F10: Statistical ...

    mi.eng.cam.ac.uk/~mjfg/local/4F10/examples2.pdf
    10 Nov 2016: ω1 :. [11. ] [22. ] [20. ]. ω2 :. [00. ]
  6. Using Wizard-of-Oz simulations to bootstrap…

    mi.eng.cam.ac.uk/~sjy/papers/wiyo03.pdf
    20 Feb 2018: 6 Discussion. The majority of the data collected was “usable”: although 26.7% of turns were excluded, 20.5% of these were due to a well-defined task not under study ... 20.0%. 30.0%. 40.0%. 50.0%. 60.0%. 70.0%. 80.0%. 0 500 1000 1500 2000
  7. acl2010.dvi

    mi.eng.cam.ac.uk/~sjy/papers/gjkm10.pdf
    20 Feb 2018: 1. 20 60 100 140 180 220 260 300 340 380 420 460 500 540 580 620. ... 50. 45. 40. 35. 30. 25. 20. 15. 10. 5. 0.
  8. 20 Feb 2018: A computationally less expensive word-level error simulationmethod for training statistical dialogue systems has been suggestedby [20]. ... 20] O. Pietquin and T. Dutoit, “A probabilistic framework for dia-log simulation and optimal strategy
  9. 20 Feb 2018: Thismethod can be elegantly incorporated into the on-line GP-Sarsa al-gorithm [20]. ... The reward function was set to give a reward of 20 for success-ful dialogues, zero otherwise.
  10. POLICY COMMITTEE FOR ADAPTATION IN MULTI-DOMAIN SPOKEN…

    mi.eng.cam.ac.uk/~sjy/papers/gmsv15.pdf
    20 Feb 2018: The reward function allocates 1 at each turnto encourage shorter dialogues, plus 20 at the end of each suc-cessful dialogue. ... 20] S Keizer, M Gašić, F Jurčı́ček, F Mairesse, B Thomson,K Yu, and S Young, “Parameter estimation for
  11. 9 Nov 2023: 20. V. Goel, Ph.D. in Biomedical Engineering, 2001Thesis: Minimum Bayes-Risk Automatic Speech Recognition. ... Journal of Machine Learning Research, (6):2049–2073 (25 pages), December 2005. [20] V.
  12. 20 Feb 2018: A set of 20 previously collected dialogues were randomlyselected for the restaurant domain. ... 90, no. 9, pp.1406–1413, 2007. [20] K. Yu, H. Zen, F.
  13. The Cambridge Multimedia Document Retrieval (MDR) Project : Summary…

    mi.eng.cam.ac.uk/reports/full_html/sparckjones_cltr517.html/
    10 Oct 2001: 20 40.90 32.97 38.65 41.45 39.05 36.22 BE DBRF3 (X) 65.42 65.04 45.12 42.50. ... t=200 r=20, tf=0.5 (same as T8) X: For Trec-8 -> Nov 96 to Jan 98 (pre-trec-8) = 60,000 stories (129614 terms).
  14. The Cambridge University Multimedia Document RetrievalDemo System…

    mi.eng.cam.ac.uk/reports/svr-ftp/tuerk_sigir00demo.pdf
    3 May 2000: On the Internet audio used herethe run-time is increased due to reduced audio qualitybut the general level of transcription accuracy remainshigh at approximately 20% word error rate on NPR data.
  15. 20 Feb 2018: 5 19.2 12.2 0.212 1.10335.3 InfEv 100 20.6 7.9 — 0.941. ... 0 10 20 30 40 500. 1. 2. 3. 4. Oracle Error Rate.
  16. draft21.dvi

    mi.eng.cam.ac.uk/~mjfg/ASRU13.pdf
    7 Nov 2013: Pashto 104 12 44 20 28 20. Turkish 105 10 42 26 19. ... and Language Processing, vol. 20, no. 3, pp. 875–887, 2012. [31] S.
  17. paper.dvi

    mi.eng.cam.ac.uk/~mjfg/ragni_ASRU11.pdf
    20 Dec 2011: The standardapproach with generative models is to usestate-level phoneticdecision trees to cluster phonetically similar states together[20]. ... Interspeech, 2011. [20] S. Young, J. Odell, and P. Woodland, “Tree-based state tying for highaccuracy
  18. 20 Feb 2018: Sec. 2. the reward [20, 21, 22, 23] by using the PARADISE frame-work [24]. ... IEEE, 2015, pp. 763–770. [20] M. Walker, J. C. Fromer, and S.
  19. 20 Feb 2018: n n. Dial. TurnL 21 1 4 6 7 2 1 11.48 3.9 4 25R 14 2 8 3 1 6.36 5.5 6 20B 20 1 2
  20. 19 Jan 2012: There is no space here for the derivation, but [20]gives the details. ... There is no space here for the derivation,but see [20] for details.
  21. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/GMT_IsoSurf
    Main > GMT_IsoSurf. Dr Graham Treece, Department of Engineering. IsoSurf. Note that the functionality in this software is now available (and in many ways improved) in Stradview, which is much more powerful and has a much nicer interface. The only
  22. Abstract for johnson_trec8

    mi.eng.cam.ac.uk/reports/abstracts/johnson_trec8.html
    27 Jul 2020: The system gave an overall word error rate of 20.5% on the 10 hour scored subset of the corpus, the lowest in the track.
  23. Abstract for johnson_trec9

    mi.eng.cam.ac.uk/reports/abstracts/johnson_trec9.html
    27 Jul 2020: The CU-HTK transcriptions from TREC-8 with Word Error Rate (WER) of 20.5% were used in conjunction with stopping, Porter stemming, Okapi-style weighting and query expansion using a
  24. paper.dvi

    mi.eng.cam.ac.uk/~mjfg/ragni_ICASSP11.pdf
    11 Mar 2011: System CritTest set. AvgA B C D. HMM (VAT) ML 8.6 13.8 12.0 20.1 16.0CAUG MPE 7.5 13.0 10.9 19.4 15.3. ... SNR is randomly chosen bewteen 5 and 15 dBfor testdata and between 10 and 20 dB for multi-style training data.
  25. 3 Jul 2018: 1 with rew =23.4,suc = 99.7% and in Env. 3 with rew =20.1,suc = 94.5%. ... 2016. Towards anontology-driven adaptive dialogue framework. InProceedings of the 1st International Workshop onMultimedia Analysis and Retrieval for MultimodalInteraction, pages
  26. 20 Feb 2018: In order to minimise the amount of domain-specific datain the target language, we rely on various external resources.First, we use the Europarl corpus [9], which contains over 20.
  27. Woodland et al.: English CTS Systems 2003 CU-HTK English ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/woodland_rt03s.pdf
    24 Jul 2003: 7HLDA pruned bg 20.0 34.4 34.0 29.4MPElattice regen/comb 19.4 34.0 33.6 28.9. % ... Cambridge UniversityEngineering Department. Rich Transcription Workshop 2003 20. Woodland et al.: English CTS Systems.
  28. 20 Feb 2018: 0 5000 10000 15000 20000 25000 30000Training dialogues. 20. 15. 10. ... 20. 15. 10. 5. 0. 5. Ave. rage. rew. ard. RNNBNBN (constrained).
  29. JOINT MODELLING OF VOICING LABEL AND CONTINUOUS F0 FOR ...

    mi.eng.cam.ac.uk/~sjy/papers/yuyo11a.pdf
    20 Feb 2018: Toreduce the noise introduced by forced choices, the 10 wave file pairswere duplicated and the order of the two systems were swapped.The final 20 wave file pairs were then shuffled
  30. Use of Deep Learning in Free Speaking Non-native English Assessment

    mi.eng.cam.ac.uk/~mjfg/ALTA/presentations/TSD2021_Knill.pdf
    21 Feb 2022: dependent. • General approach tunable approach based on deep learning. 20/56. Model-based Pronunciation Features. ... General approach tunable approach based on deep learning. 20/56. Deep Learning Pronunciation Features [5].
  31. CU-HTK April 2002 Switchboard System Phil Woodland, Gunnar Evermann,…

    mi.eng.cam.ac.uk/reports/svr-ftp/woodland_rt02.pdf
    5 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.
  32. TWO-WAY CLUSTER VOTING TO IMPROVE SPEAKER DIARISATION PERFORMANCE S.…

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_icassp05.pdf
    25 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.
  33. 5 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
  34. CU-HTK March 2001 Hub5 system Phil Woodland, Thomas Hain, ...

    mi.eng.cam.ac.uk/reports/svr-ftp/woodland_lvcsr01.pdf
    31 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.
  35. Reconstruction and Motion Estimation fromApparent Contours under…

    mi.eng.cam.ac.uk/reports/svr-ftp/wong_bmvc99.pdf
    30 Jan 2000: The apparentcontoursweretracked by usingcubic B-splinesnakes[4](seefig. 2). Fundamentalmatrices[13, 20] betweentwo successive imageswereformedfrom thecorrespondingprojectionmatricesandcorrespondenceswerethenfoundby solv-ing for ... IEEE
  36. A HIGH-PERFORMANCE CANTONESE KEYWORD SEARCH SYSTEM

    mi.eng.cam.ac.uk/~mjfg/ICASSP13_ibm2.pdf
    13 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.
  37. 20 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
  38. A Statistical Consistency Check for the SpaceCarving Algorithm. A. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/broadhurst_cipolla_bmvc2000.pdf
    25 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
  39. 29 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. •
  40. 20 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
  41. Machine Learning of Level and Progression in Second/Additional…

    mi.eng.cam.ac.uk/~kmk/presentations/UBham_May2016_Knill.pdf
    12 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.
  42. 13 May 2010: 1. 2.5. (f) (g) 0. 10. 20. Pixel. 0. 63. Str.
  43. 20 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
  44. Experiments with Fisher Data Gunnar Evermann, Bin Jia, Kai ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/evermann_sttmay04.pdf
    25 May 2004: Gaussianisation. • Transform any distribution to standard Gaussian N(0, I). 20 15 10 5 0 5 10 15 200. ... Gaussianised 29.8 21.9 26.0CN 28.7 21.3 25.1. CNC 28.1 20.8 24.6. •
  45. On Person Authentication by Fusing Visual and Thermal Face ...

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_AVSS06.pdf
    1 Sep 2006: a) Glasses ON. 0 20 40 60 80 100 1200.85. 0.9. ... Shashua. Learning over sets using kernel principalangles.JMLR, 4(10), 2003. [20] L.
  46. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/GMTPublications
    Medical Image Analysis, Vol. 20, No. 1, pp. 249-264, January 2015. ... Proceedings of Medical Image Understanding and Analysis, pp. 17-20, Oxford, July 1999.
  47. Clinically Practical Freehand Three-Dimensional Ultrasound

    mi.eng.cam.ac.uk/research/projects/cp3dus/
    22 Jul 2010: We have developed novel reconstruction algorithms to relax this constraint [1, 2, 15, 20, 23, 31, 33]. ... 20] R.J. Housden, A.H. Gee, R.W. Prager and G.M. Treece. Sensorless freehand 3D ultrasound for non-monotonic and intersecting frames.
  48. MultiMedia Document Retrieval (1997-2000)

    mi.eng.cam.ac.uk/research/projects/Multimedia_Document_Retrieval/
    7 Oct 2001: The final WER on the 10 hour scored subset of the TREC-8 SDR corpus was 20.6% (the lowest in the evaluation).
  49. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/AHGPublications
    Medical Image Analysis, 20(1):249-264, February 2015. K.E.S. Poole, G.M. Treece, A.H. ... In Proceedings of Medical Image Understanding and Analysis, pages 17-20, Oxford, UK, 1999.
  50. A Method for Direct Audio Search with Applications to Indexing and…

    mi.eng.cam.ac.uk/reports/full_html/johnson_icassp00.html/
    16 Jun 2000: However the transcription systems used (see e.g. [6]) typically run rather slower than real-time and have a word error rate of over 20%. ... 967. 5480s=61.0%. 114s=0.5%. window, 20@4s. 284. 4598s=51.2%. 122s=0.5%. Automatic segs. 38.
  51. The CUHTK-Entropic 10xRT Broadcast News Transcription System

    mi.eng.cam.ac.uk/reports/full_html/odell_darpa99.html/
    1 Mar 2000: The Intel C compiler (version 2.4) seemed particularly efficient with the decoder running almost 20% faster than when compiled with gcc v2.7.2. ... These were trained in the same way as the first pass models but consisted of 13428 distinct models sharing

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