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  1. Results that match 1 of 2 words

  2. williams2005continuous06

    mi.eng.cam.ac.uk/~sjy/papers/wipy05c.pdf
    20 Feb 2018: 1)(|( erruincorrecterrucorrect pacppacp = (24). In the MDP context, we assume the confidence score buckets are formed without access to a prior. )(
  3. Kate Knill ALTA Institute, Cambridge University Engineering…

    mi.eng.cam.ac.uk/~kmk/presentations/Knill_UKSpeech2023_Keynote.pdf
    19 Jun 2023: conversational assessment. 24. Applying Foundation Models to Auto-marking: Neural Text Grader.
  4. 20 Feb 2018: Computer Speech and Lan-guage 24:150–174. Xiaodong Zhang and Houfeng Wang. 2016.
  5. THE DEVELOPMENT OF THE CAMBRIDGE UNIVERSITY RT-04 DIARISATION SYSTEM…

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_rt04.pdf
    10 Jan 2005: show. (b) Mean DER across all 24 development shows whenonly including c0 in clustering if the mean value is above a criticalthreshold. ... RT-04 RT-04 RT-04 23.86 24.12. Table 12. Progress since RT-03s on theeval04f data.
  6. Progress in English Conversational TelephoneSpeech Transcription Khe…

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/sim_sttmar05.pdf
    12 Apr 2005: S1 6K (28)0. 34.1 26.0 30.2 26.4S4 9K (36). (ML)33.0 24.8 29.0 25.3. ... 32.3 22.9 27.8pMPEMPE 35.1 26.0 30.7 33.2 24.1 28.8 32.9 23.6 28.4.
  7. ENGINEERING TRIPOS PART IIB ELECTRICAL AND INFORMATION SCIENCES…

    mi.eng.cam.ac.uk/~cipolla/resource/4F12exam.pdf
    12 Apr 2022: with (X, Y ) vertices (23, 3), (5, 30), (45, 24) and (15, 48), calcu-late bounds on s.
  8. Ongoing Experiments with Fisher Data Ricky Chan, Gunnar Evermann ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/chan_stthomas03.pdf
    10 Dec 2003: 5MPE fisher3896 (520h) MPE 26.4 30.5 22.1 28.3 24.6MPE fisher3896h5 (880h) MPE 25.7 29.9 21.3 27.4 24.1. ... 3 25.0 22.8fisher3896 LM03Fi 23.1 27.0 18.9 24.6 21.6fisher3896h5 LM03Fi 22.7 26.6 18.5 24.2 21.1.
  9. paper.dvi

    mi.eng.cam.ac.uk/~mjfg/segdisc_2012.pdf
    19 Oct 2012: α̂(r) = argminα. {. F(. α, w(r), O(r); α̂(r1))}. (15). Conditional Maximum Likelihood[24]:. ... . . . . . . . vj V (24). whereV is the vocabulary of segment identities.
  10. Bin Jia, Khe Chai Sim et al: CU-HTK RT03 ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/jia_rt03s.pdf
    23 Jun 2003: Automatic Segmentation. Segmentation Diarisation CER (%)MS FA Tot. Manual 1.2 24.5 25.6 49.8Automatic 3.7 8.3 11.9 50.8.
  11. EFFICIENT USE OF END-TO-END DATA IN SPOKEN LANGUAGE PROCESSING ...

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/lu_ICASSP2021.pdf
    22 Jul 2021: German translations are kept true-cased. Corpus Task #Sentences. TED-LIUM3 [23] ASR 268kWMT17-P En-De [24] MT 400kMuST-C En-De [25] ST 229k. ... E2E - - 19.29Casc 9.60 16.56 20.54EP 7.97 18.84 22.56. EP-J 9.60 16.24 23.25.
  12. book.dvi

    mi.eng.cam.ac.uk/~sjy/papers/wipy06.pdf
    20 Feb 2018: vn(s) = r(s, π̂(n)) γ. s′S. oO. p(s′|s, π̂(n))p(o|s′, π̂(n))vl(n,o)(s′) (8.24). ... This style of execution is distinct frompolicy iteration, in which the nodesand links of the controller are changed and the controller isre-evaluated
  13. A HYBRID DISPLACEMENTESTIMATION METHOD FOR ULTRASONIC ELASTICITY…

    mi.eng.cam.ac.uk/reports/svr-ftp/chen_tr615.pdf
    13 Nov 2008: IEEE Transactions on MedicalImaging, 23:153–163, 2004. [24] A. Pesavento, C. Perrey, M. ... Ultrasound in Medicine and Biology, 24:427–441, 1998. [31] R. Zahiri-Azar and S.
  14. Combining Tandem and Hybrid Systems for Improved Speech…

    mi.eng.cam.ac.uk/~mjfg/interspeech14-rath.pdf
    23 Jun 2014: A speaker adaptive training (SAT) system using global con-strained maximum likelihood linear regression (CMLLR) ata speaker level [24] was then constructed, followed by bothMinimum Phone Error (MPE) [25] and ... 7, no. 3, pp. 272–281, May 1999. [24] M.
  15. PROC IEEE, VOL. 101, NO. 5, 1160-1179, 2013 1 ...

    mi.eng.cam.ac.uk/~sjy/papers/ygtw13.pdf
    20 Feb 2018: A similar approach is takenin [24], except that both slot values and their complements areused to build a frame. ... R(θ) = 1N. Nn=1. Tn1t=0. θ log π(ânt |bnt ,θ)Q(bnt , ânt ) (24).
  16. 4F10: Deep Learning

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lect6.pdf
    8 Nov 2016: represents element-wise multiplication between vectors. 24/68. Long-Short Term Memory Networks (reference) [13, 10]. ... Ẽ (θ[τ]) = E (θ[τ]) νw[τ]. 50/68. Dropout [24]. Input. xd.
  17. Low-Resource Speech Recognition andKeyword-Spotting M.J.F. Gales,…

    mi.eng.cam.ac.uk/~mjfg/BABEL/SPECOM2017_paper.pdf
    11 Feb 2020: These approachesinclude data augmentation [23,5,14]; the use of web data [20]; extensive systemcombination [31]; and the use of multiple languages [4,24]. ... In: Proc InterSpeech (2014). 24. Ragni, A., Dakin, E., Chen, X., Gales, M.J., Knill, K.M.: Multi
  18. SSVM_LVCSR.dvi

    mi.eng.cam.ac.uk/~mjfg/sxz_TASLP12.pdf
    19 Oct 2012: Flat Direct Model [11] SCRF [23] or CAug [13]. M3N [18] orLarge Margin (Multi-Class) SVM [24]. ... Reformulate equation (24) in the form of (17). 1. 2||ᾱ||22+. C.
  19. system.dvi

    mi.eng.cam.ac.uk/~sjy/papers/heyo06.pdf
    20 Feb 2018: 24. 0.6 0.7 0.8 0.9 10.5. 0.6. 0.7. 0.8. 0.9. 1.
  20. Kate Knill ALTA Institute, Cambridge University Engineering…

    mi.eng.cam.ac.uk/~kmk/presentations/Knill_ISCSLP_Keynote_2022.pdf
    19 Jun 2023: 24. GEC. 25. seq2seq GEC. Treat GEC as a machine translation problem i.e.
  21. THE CAMBRIDGE UNIVERSITY SPOKEN DOCUMENT RETRIEVAL SYSTEM S.E.…

    mi.eng.cam.ac.uk/reports/svr-ftp/johnson_icassp99.pdf
    8 Mar 2000: This system gave a word error rate of 24.1% on the TREC-6 test data and ran in about 50 times real time. ... Recogniser WER stop map stemIBM Baseline 50.0 47.5 47.2 44.3Sheffield 39.8 37.6 37.1 34.6HTK-1 28.6 24.9 24.7
  22. KERNELIZED LOG LINEAR MODELS FOR CONTINUOUS SPEECH RECOGNITION…

    mi.eng.cam.ac.uk/~mjfg/Kernel/sxz20_icassp13.pdf
    27 Mar 2013: 8 1.710 4.4 3.6 3.5 3.3 3.205 11.2 9.2 8.9 8.8 8.400 29.6 25.1 24.9 24.1 ... Speech Lang.,vol. 24, no. 4, pp. 648–662, 2010. [21] H. Liao and M.
  23. 20 Feb 2018: and for the transition into. Inspired byagenda-based approaches to dialogue management [23], [24]the user state is factored into an agenda and a goal suchthat where consists of constraints. ... 24)The two update steps can be treated separately and
  24. Part IA Computing CourseTutorial Guide to C++ Programming Roberto ...

    mi.eng.cam.ac.uk/~cipolla/resource/tutorial.pdf
    12 Apr 2022: 24. // testing for real solutions to a quadraticd = bb - 4ac;if(d >= 0.0){. //
  25. JournalPaperDRAFTV0.20

    mi.eng.cam.ac.uk/~sjy/papers/wipy05a.pdf
    20 Feb 2018: J. D. Williams, P. Poupart, S. Young 24 March 2005. University of Cambridge, Dept. ... 24. not “brittle” – i.e., they do not fail catastrophically as the actual value of errp deviates from that used in training.
  26. lect4.dvi

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lect4.pdf
    10 Nov 2015: the KL divergence given above. 24 Engineering Part IIB: Module 4F10 Statistical Pattern Processing.
  27. Knill_IS14_final.dvi

    mi.eng.cam.ac.uk/~mjfg/interspeech14-knill.pdf
    23 Jun 2014: domised at the frame level across all the languages [24, 5]. ... 29, no. 6, pp. 82–97, Nov 2012. [24] J.-T. Huang et al., “Cross-language knowledge transfer using mul-tilingual deep neural network with shared hidden layers,” in Proc.ICASSP,
  28. 17 Nov 2021: Deep Learning for AutomaticAssessment and Feedback of Spoken. English. Konstantinos Kyriakopoulos. Supervisor: Prof. Mark J.F. Gales. Department of EngineeringUniversity of Cambridge. This thesis is submitted for the degree of Doctor of Philosophy.
  29. 20 Feb 2018: wTα,i,wTθ,i]T C. n {1,. ,N}Parameter update:. 24: αi1 αi1 βαwα,i25: θi1 θi1 βθwθ,i26: end for.
  30. 20 Feb 2018: Given the 8 subgoals (excluding the “name” subgoal) in the domain, there are 24 slot-level summary actions in total.The global summary actions implement other actions which cannot be associated ... wTα,i, wTθ,i]T C n {1,. , N}. Parameter update:24:
  31. Applying Deep Learning in Non-native Spoken English Assessment

    mi.eng.cam.ac.uk/~kmk/presentations/APSIPA2019_Knill_Keynote.pdf
    21 Nov 2019: 1.0 indicates within one CEFR grade-level. 24/45. Assessment System Performance. • ... 1.0 indicates within one CEFR grade-level. 24/45. Performance Analysis. 25/45.
  32. Multi-Language Neural Network Language Models

    mi.eng.cam.ac.uk/~mjfg/interspeech16_MLNNLMs.pdf
    26 Sep 2016: Data-based schemes instead. make use of data to initialise [27], train [20, 23] or adapt [24] the. ... The amount. of training data in VLLP conditions is 31,959 and 24,703 words.
  33. A Practical Method for Estimation of PointLight-Sour ces Martin ...

    mi.eng.cam.ac.uk/reports/svr-ftp/weber_bmvc2001.pdf
    29 Nov 2003: Object View! normalised 24 2 4 H H #cube. Z n @ D$L Z¡ LD ' n$ $ n[ D[ n[ ' D ¡¢ J n D Z n D @ n L 3LD Z ... variousimages! normalised is expectedto beapproximatelyone. Note that the variationsin. H H are much larger then variationsin 24 2
  34. SENSORLESS FREEHAND 3DULTRASOUND IN REAL TISSUE: SPECKLE…

    mi.eng.cam.ac.uk/reports/svr-ftp/gee_tr510.pdf
    10 Jan 2005: Nelson and D. H. Pretorius. Three-dimensional ultrasound imaging. Ultrasound inMedicine and Biology, 24(9):1243–1270, 1998. ... Pattern Recognition Letters, 24(4–5):705–713, February 2003. [13] G. Treece, R. Prager, and Gee.
  35. Correction of Probe Pressure Artifactsin Freehand 3D Ultrasound — ...

    mi.eng.cam.ac.uk/reports/svr-ftp/treece_tr411.pdf
    27 Apr 2001: Ultrasound in Medicine and Biology, 24(6):855–869, 1998. [6] W. L. Smith and A. ... Parker. Multilevel and motion model-based ultrasonicspeckle tracking algorithms. Ultrasound in Medicine and Biology, 24(3):427–441, 1998.
  36. A NEW METHOD FOR THEACQUISITION OF ULTRASONIC STRAIN IMAGE ...

    mi.eng.cam.ac.uk/reports/svr-ftp/housden_tr656.pdf
    10 Aug 2010: The individual image frames arelocated in space by a position sensor attached to the probe [16] or, in the case of intravascularimaging, by a continuous pullback method [24]. ... Communications of theACM, 24(6):381–395, June 1981. [10] T. G. Fisher, T.
  37. lect8.dvi

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lect8_pres.pdf
    20 Nov 2015: 34. 24 Engineering Part IIB: 4F10 Statistical Pattern Processing. Feature-Space Example. ... 34. 24 Engineering Part IIB: 4F10 Statistical Pattern Processing. Dimensionality of the Feature Space.
  38. 6 Jun 2014: This is effectively anunsupervised acoustic model training process [24, 25]. For all experiments the core ASR toolkit, used for acousticfeature generation, clustering, decoding and GMM-based acousticmodel training, was an extended ... 7319–7323, IEEE,
  39. The 1998 HTK Broadcast News Transcription System:Development and…

    mi.eng.cam.ac.uk/reports/svr-ftp/woodland_darpa99.pdf
    8 Mar 2000: Y 14.2 8.0 15.4 20.3 16.5 14.0 16.6 24.6. ... ROVER fgintcat 4/Y1/N 13.8 7.8 15.1 20.1 15.8 13.6 16.6 24.1.
  40. DESIGN OF FAST LVCSR SYSTEMS G. Evermann & P.C. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/evermann_asru2003.pdf
    23 Sep 2003: System A B C D23.0 23.6 23.4 24.8. A 23.1 22.6 22.7B 22.9 23.3C 22.8. ... full ’02 19.8 24.3 27.0 23.910x ’02 22.3 27.7 31.0 27.2 14%.
  41. 15 Aug 2007: r)b. ”A(r)T. ”(24). 4. Goto 2 unless converged, or maximum number of iterations.It is possible to stop the estimation at various stages.
  42. 20 Feb 2018: English 640 5 246 11 356 24 196 9German - - 135 2 277 13 175 6Italian - - - - 159 7 220 11. ... Word Vectors English German Italian RussianMonolingual Distributional Vectors 0.32 0.28 0.36 0.38COUNTER-FITTING: Mono-Syn 0.45 0.24 0.29 0.46COUNTER-FITTING:
  43. The Development of the Cambridge UniversityRT-04 Diarisation System…

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/tranter_rt04.pdf
    15 Feb 2005: 18.5. 19. 19.5. 20. mea. n D. ER. on. all. 24 d. ... RT-04f RT-04f RT-04f 23.86 24.12† Official evaluation submission. • New segmenter and clusterer resulted in 14% absolute drop in primary DER. •
  44. paper.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/liu_asru2003.pdf
    25 Sep 2003: j (τ ) = γnum. j (τ ) γden. j (τ ) Cp(O, Sj,τ |Θ̃) (24). ... For more details see [15]. Two globalcomplexity attributes of a single transform HLDA system wereoptimized: the number of Gaussian components per state from therange {12, 16, 24}; the
  45. Kim et al.: 2003 CU-HTK BN-E Systems 2003 CU-HTK ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/kim_rt03s.pdf
    24 Jul 2003: Lattice-Regen 14.4 8.5 15.1 17.7 16.9 14.6 21.3 24.4 14.5 13.8.
  46. EXPERIMENTS IN BROADCAST NEWS TRANSCRIPTION P.C. Woodland, T. Hain,…

    mi.eng.cam.ac.uk/reports/svr-ftp/woodland_icassp98.pdf
    10 Apr 2000: M S TM 82.11 17.89 0.00N 15.27 84.22 0.51S 0.56 98.24 1.20T 0.00 1.19 98.81. ... 1F3 36.4 32.7 35.3 33.9F4 28.6 25.0 25.4 24.4F5 28.6 23.8 27.1 26.5FX 58.5 55.2 56.8
  47. DEVELOPMENT OF THE CU-HTK 2004 BROADCAST NEWS TRANSCRIPTION SYSTEMS…

    mi.eng.cam.ac.uk/reports/svr-ftp/kim_icassp05.pdf
    1 Apr 2005: Using improved acoustic/language models andby combining systems with different segmentations, the 10RTsystem gave on average a 24% relative reduction in WER over theRT03 system.
  48. williams2006IEEE.dvi

    mi.eng.cam.ac.uk/~sjy/papers/wiyo07b.pdf
    20 Feb 2018: Similarly, attempting to exploit the factoredform of the SDS-POMDP in optimization (using e.g., [24],[25]) is unlikely to succeed since most of the growth isdue to one component (the
  49. unsup.eps

    mi.eng.cam.ac.uk/~mjfg/interspeech14-ragni.pdf
    23 Jun 2014: Thusmany of the waveform production issues [23] are not rele-vant. Furthermore, these schemes permit model-based adap-tation/compensation approaches [24] to be used for synthesis-ing data with target ... 51, pp. 1039–1064, 2009. [24] M. J. F. Gales,
  50. lect5.dvi

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lect5_pres.pdf
    10 Nov 2015: g" plane. solution region. aa. 24. 10 Engineering Part IIB: Module 4F10 Statistical Pattern Processing.
  51. 8 Aug 2005: Both, centretemplateandmarginalizedtemplateshow betterclassificationperfor-mancethanthe trainedclassifier, in particular in the high detection range.At de-tectionratesof 0.99 thefalsepositive ratefor thecentretemplateis 0.24, wherasitis 0.64for

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