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  1. Results that match 1 of 2 words

  2. 4F12-notes-4.dvi

    mi.eng.cam.ac.uk/~cipolla/lectures/4F12/Slides/4F12-notes-4.pdf
    2 Nov 2023: 12 p. ′13 p. ′14. p′21 p′22 p. ′23 p. ′24. ... vp24)p22. p′24. . . . . . Z. . . .
  3. 20 Feb 2018: The COMMUNICATOR systems in contrast onlyrequest between 24% and 43% of the unknown slots in each state.
  4. TWO-WAY CLUSTER VOTING TO IMPROVE SPEAKER DIARISATION PERFORMANCE S.…

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_icassp05.pdf
    25 Mar 2005: shows. The DER is 24.16%(28.05%) if the best(worst) input istaken independently for each show. ... true reference speakers, so when scoringagainst the reference, the supergroups may no longer be treated indepen-dently thus dramatically increasing the
  5. 4F12-notes-1.dvi

    mi.eng.cam.ac.uk/~cipolla/lectures/4F12/Slides/4F12-notes-1.pdf
    29 Sep 2023: CCD. • A typical digital SLR CCD measures about 24 16 mm. ... 24 Engineering Part IIB: 4F12 Computer Vision. Further reading. Students looking for a deeper understanding of computer vision might wish to con-sult the following publications, many of
  6. Applying Deep Learning in Non-native Spoken English Assessment

    mi.eng.cam.ac.uk/~mjfg/ALTA/presentations/APSIPA2019_Knill.pdf
    21 Feb 2022: 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.
  7. 11 Mar 2016: MPE— 7.15 11.06 14.37 24.54 16.79CML 6.95 11.00 14.29 24.39 16.68large-margin 7.02 10.92 14.16 24.28 ... Therefore the systems use graphemic lex-ica generated using an approach which is applicable to all Unicodecharacters [24].
  8. 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.
  9. AUTOMATIC COMPLEXITY CONTROL FOR HLDA SYSTEMS X. Liu, M. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/liu_icassp2003.pdf
    19 Sep 2003: Fig. 1. Test set word error rate for all possible models, with thestandard front-end 12, 16 and 24 component performance. ... The best perfor-mance, 36.8%, was obtained using 24 components per state and anHLDA projection from 52 dimensions to 38
  10. INVESTIGATION OF ACOUSTIC MODELING TECHNIQUES FOR LVCSR SYSTEMS X. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/liu_icassp2005.pdf
    19 May 2005: Systemeval03. dev04s25 fsh Avg. P2-cn HLDA 26.6 18.4 22.6 18.7. P3a-cn SAT 24.5 17.1 20.9 17.3P3c-cn SPron 24.7 ... cn SPAM 24.1 16.9 20.6 17.2P3h-cn SATSPAM 23.9 16.9 20.5 16.8P3i-cn CTRL 24.5 17.5 21.1 17.6.
  11. 20 Feb 2018: In this section, a Gaussianprocess-based reward estimator is described which uses active learning tolimit intrusive requests for feedback and a noise model to mitigate the effectsof inaccurate feedback [24]. ... 24. Figure 13: The number of times each
  12. A LANGUAGE SPACE REPRESENTATION FOR SPEECH RECOGNITION

    mi.eng.cam.ac.uk/~mjfg/icassp15-ragni.pdf
    18 May 2015: There are many options to select the form of rep-resentation of the clusters and the combination method to employ[18, 17, 13, 24, 25]. ... 20, no. 6, pp. 1713–1724, 2012. [24] V. Diakoloukas and V.
  13. 20 Feb 2018: 24].3 Available at http://mi.eng.cam.ac.uk/˜farm2/emphasis.4 Cohen’s Kappa cannot be used here because the phrases are not distinct elements. ... Interspeech, 2010, pp. 410–413. [24] S. Young, G. Evermann, M. Gales, T.
  14. 20 Feb 2018: partition ex-plicitly records the fact that x = a and the existing partitionis updated to record the fact that x = ā [24].
  15. 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){. //
  16. main.dvi

    mi.eng.cam.ac.uk/~sjy/papers/ywss05.pdf
    20 Feb 2018: At this point, the dialog state probabilities given by equation 24 are omputed. ... P1. find P2. (a) task 1.0. P1 b=1.0. b=0.7. b=0.3. b=0.24.
  17. 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).
  18. 20 Feb 2018: The Pietquin model. Train TestPrecision Recall Precision Recall. BIG 19.74 24.11 17.83 21.66LEV 43.11 35.07 37.98 31.57PTQ 45.00 36.35 40.16
  19. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/GMT_4YP_24_2
    Main > GMT_4YP_24_2. Dr Graham Treece, Department of Engineering.
  20. Roberto Cipolla - Professor of Information Engineering

    mi.eng.cam.ac.uk/~cipolla/publications.htm
    Image and Vision Computing, 24(6):639-647, June 2006. O. Arandjelovic and R.
  21. narrow wheels (8) do ub le p ins ( ...

    mi.eng.cam.ac.uk/IALego/trays.pdf
    1 Jan 2024: axle. s (. 80). bush pins (16). plates (46). 127 beams (24)o.
  22. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/GMT_EqnSurf
    In the Windows version this will be saved in uncompressed 24-bit.
  23. Index of /~cipolla/lectures/PartIB/old

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/
    KDTest.zip 24-May-2006 11:00 15K.
  24. Professor Steve Young, Publications

    mi.eng.cam.ac.uk/~sjy/publications.html
    P-H. Su, M. Gasic and S. Young (2018). "Reward Estimation for Dialogue Policy Optimisation." Computer Speech and Language, 51(1):24-43. ... B. Thomson and S. Young (2010). "Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems."
  25. paper.dvi

    mi.eng.cam.ac.uk/~mjfg/ragni_ASRU11.pdf
    20 Dec 2011: 24, pp. 648–662, 2010. [5] S.-X. Zhang, A. Ragni, and M.
  26. Roberto Cipolla - Professor of Information Engineering

    mi.eng.cam.ac.uk/~cipolla/publications_all.htm
    Image and Vision Computing, 24(6):639-647, June 2006. O. Arandjelovic and R.
  27. MultiMedia Document Retrieval (1997-2000)

    mi.eng.cam.ac.uk/research/projects/Multimedia_Document_Retrieval/
    7 Oct 2001: May 1998 - The TREC-7 Evaluation. The overall word error rate for our recognition system on the 100 hours of TREC-7 SDR data was 24.8%, the lowest in the
  28. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/GMTPublications
    Pattern Recognition Letters. Vol. 24, No. 4-5, pp. 705-713, 2003. G. ... Vol. 24, S1, pp. S293-S294, April 2016. T. Turmezei, K. Poole, G Treece.
  29. Improving Retrieval on Imperfect Speech Transcriptions

    mi.eng.cam.ac.uk/reports/full_html/jourlin_sigir99.html/
    8 Mar 2000: HTK. ATT. Dragon. Base1. Sheff. Base2. DERA. WER. 24.8. 31.0. 29.8.
  30. 29 Apr 2024: 2024. To appear at NAACL’24. ... 24] Improving the quality trade-off for neural machine translation multi-domain adaptation.
  31. 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: CNC P4.[123]P5.[123] 19.8 24.3 27.0 23.9%WER on eval02 for all stages of 2002 system, manual segmentation. • ... Final NCE is 0.318. Cambridge UniversityEngineering Department. Rich Transcription Workshop 2003 24.
  32. Index of /~cipolla/archive/Public-Understanding

    mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/
    2019-Metail.mp4 24-Apr-2019 11:11 453M.
  33. Abstract for johnson_trec7

    mi.eng.cam.ac.uk/reports/abstracts/johnson_trec7.html
    27 Jul 2020: The broadcast news audio was transcribed using a 2-pass gender-dependent HTK speech recogniser which ran at 50 times real time and gave an overall word error rate of
  34. Royal Society Meeting on Geometry in Computer Vision

    mi.eng.cam.ac.uk/~cipolla/royal_society.html
    28 Nov 2006: Session 3: Grouping and Matching. Thursday 24 July, 09.30-12.30 (Chair: Dr A. ... Session 4: Geometry and Statistics. Thursday 24 July, 14.00-17.40 (Chair: Dr R.
  35. Publications

    mi.eng.cam.ac.uk/~gmt11/stradwin/publications.htm
    Ultrasound in Medicine and Biology, Vol. 24, No. 6, pp. 855-869, July 1998.
  36. tr.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/prager_tr436.pdf
    28 Jun 2002: Communicationsof the ACM, 24(6):381–395, June 1981. [4] Jr. J. M. Kofler and E. ... Ultrasound in Medicine and Biology,24(4):535–542, 1998. [7] J. J. More. The Levenberg-Marquardt algorithm: implementation and theory.
  37. The Cambridge University Spoken Document Retrieval System

    mi.eng.cam.ac.uk/reports/full_html/johnson_icassp99.html/
    8 Mar 2000: Sheffield. 39.8. 37.6. 37.1. 34.6. HTK-1. 28.6. 24.9. 24.7. 22.2. HTK-2. ... 24.1. 21.5. 21.2. 18.7. Table 3: Story-based % Word Error Rates for TREC-6 data.
  38. ICASSP2014b.dvi

    mi.eng.cam.ac.uk/~mjfg/yoshioka_ICASSP14.pdf
    3 Apr 2014: Workshop. Automat. SpeechRecognition, Understanding, 2011, pp. 24–29. [13] O. Abdel-Hamid and H. ... Mag.,vol. 29, no. 6, pp. 114–126, 2012. [24] T. Yoshioka, X.
  39. Abstract for clarkson_icassp97

    mi.eng.cam.ac.uk/reports/abstracts/clarkson_icassp97.html
    27 Jul 2020: Both techniques yield a significant reduction in perplexity over the baseline trigram language model when faced with multi-domain test text, the mixture-based model giving a 24% reduction and the
  40. paper.dvi

    mi.eng.cam.ac.uk/~mjfg/wang_is2012.pdf
    13 Jun 2013: RVTSJ 14.9 29.6 18.3 43.6 26.6RAT RVTSJ 13.7 28.5 15.0 42.2 24.9.
  41. Roberto Cipolla - Professor of Information Engineering

    mi.eng.cam.ac.uk/~cipolla/publications_procs.htm
    Professor Roberto Cipolla, Department of Engineering. Conference Proceedings. 2023.. G. Bae, M. de la Gorce, T. Baltrusaitis, C. Hewitt, D. Chen, J. Valentin, R. Cipolla and D. Chen. DigiFace-1M: 1 million digital face images for face recognition.
  42. CU-HTK March 2001 Hub5 system Phil Woodland, Thomas Hain, ...

    mi.eng.cam.ac.uk/reports/svr-ftp/woodland_lvcsr01.pdf
    31 May 2001: Cambridge UniversityEngineering Department. Hub5 Workshop 24. Woodland, Hain, Evermann & Povey: CU-HTK March 2001 Hub5 system. ... 5 29.2 24.6Rover vote 20.1 25.2 30.2 25.3Rover conf 19.9 24.6 29.8 24.9.
  43. Two-way Cluster Voting to Improve Speaker Diarisation Performance

    mi.eng.cam.ac.uk/reports/full_html/tranter_icassp05.html/
    31 Mar 2005: full. 30.30. 19.94. 19.15. 32.06. 37.92. 10.74. 24.26. † St. diag. ... full. 24.31. 19.97. 12.75. 19.34. 22.77. 17.50. 19.09. † St. diag.
  44. The 1997 HTK Broadcast News Transcription System

    mi.eng.cam.ac.uk/reports/full_html/woodland_darpa98.html/
    1 Mar 2000: 24.6. F5. 28.6. 23.8. 27.1. 24.8. FX. 58.5. 55.2. 56.8. 55.4. ... 25.3. 29.0. 24.3. 28.1. F2. 38.3. 41.6. 35.7. 37.3. F3. 25.3.
  45. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/AHGPublications
    Ultrasound in Medicine and Biology, 24(6):841-854, July 1998. R. Rohling, A. ... Osteoarthritis and Cartilage, 24(S293-S294), April 2016. T.D. Turmezei, A.H. Gee, K.E.S.
  46. 16 Jun 2008: 20 I. 2. –24. yst1yst. yst1. 35 = Dyet (13). where D is the dynamic coefficient matrix and yet is the vectorof static coefficients in the appropriate window.
  47. The Development of the Cambridge University RT-04 Diarisation System

    mi.eng.cam.ac.uk/reports/full_html/tranter_rt04.html/
    10 Jan 2005: 22.4. 20.2. PLP. Y. -. Y. 25.4. 19.3. 27.9. 24.1. 24.3. ... 23.1. 24.3. 19.7 @ 2609. 5. 3. 16.7. 17.3. 24.3. 28.9.
  48. The 1998 HTK Broadcast News Transcription System: Development and…

    mi.eng.cam.ac.uk/reports/full_html/woodland_darpa99.html/
    2 Mar 2000: F5. 24.4. 23.8. 21.4. 20.0. FX. 32.7. 32.7. 30.9. 30.9. Overall. ... 19.1. 17.2. 24.7. 30.9. P3. bg. 1/N. 19.1. 11.9. 20.4. 27.6.
  49. Spoken Document Retrieval for TREC-7 at Cambridge University

    mi.eng.cam.ac.uk/reports/full_html/johnson_trec7.html/
    30 Mar 2000: This system gave a word error rate of 24.1% on the TREC-6 test data. ... map. stop. stem. CUHTK. 24.8. 25.0. 24.9. 22.8. 22.3. Dragon. 29.8.
  50. Effects of Out of Vocabulary Words in Spoken Document Retrieval

    mi.eng.cam.ac.uk/reports/full_html/woodland_sigir00.html/
    14 Aug 2000: ID. BASE. BRF. UBRF. 3k. 22.2. 24.4. 33.3. 7k. 33.8. 37.5.
  51. General Query Expansion Techniques for Spoken Document Retrieval

    mi.eng.cam.ac.uk/reports/full_html/jourlin_esca99.html/
    2 Mar 2000: Our retrieval system was run on 7 different sets of automatically transcribed broadcast news texts with a WER varying from 24.8% to 66.2%. ... The overall system gave a WER of 24.8% which corresponded to a Processed Term Error Rate [11] (which more

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