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81 - 100 of 1,000 search results for TALK:ZA31 24 / |u:mi.eng.cam.ac.uk where 0 match all words and 1,000 match some words.

  1. Results that match 1 of 2 words

  2. 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.

  3. 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.

  4. Class-based language model adaptation using mixtures ofword-class…

    mi.eng.cam.ac.uk/reports/svr-ftp/moore_icslp00.pdf
    2 Nov 2000: 1003 250 - 225.85 192.66 224.24 187.371003 250 158.98 151.15 158.68 149.371003 500 - 230.96 193.86 228.93 188.111003 500 159.77

  5. Model-Based 3D Tracking of an Articulated Hand B. Stenger ...

    mi.eng.cam.ac.uk/reports/svr-ftp/stenger_cvpr01.pdf
    12 May 2003: This paper presents a methodfor hand tracking that estimates the pose of a 3D hand modelconstructed from truncated quadrics by using an UnscentedKalman filter [18, 24]. ... Originally published in1952. [24] E. A. Wan and R. van der Merve.

  6. 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.

  7. paper.dvi

    mi.eng.cam.ac.uk/~mjfg/wang_icassp13.pdf
    13 Jun 2013: 2011, pp. 24–29, Ieee. [13] M. J. F. Gales and F.

  8. 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.

  9. 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.

  10. 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.

  11. 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

  12. 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.

  13. 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.

  14. Evermann, Kim, Wang, Woodland et al.: CU-HTK Fast System ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/evermann_rt03s.pdf
    23 Jun 2003: 0 26.1 23.7P3.3-cn 20.4 24.3 26.6 24.0final 19.9 23.5 25.8 23.3. ... 320xRT 2002† 19.8 24.3 27.0 23.910xRT 2002† 22.3 27.7 31.0 27.2 14%.

  15. 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.

  16. Experiments in Broadcast News Transcription

    mi.eng.cam.ac.uk/reports/full_html/woodland_icassp98.html/
    1 Mar 2000: 24.4. F5. 28.6. 23.8. 27.1. 26.5. FX. 58.5. 55.2. 56.8. 55.0. ... 39.6. 25.1. 37.2. F4. 24.1. 24.7. 24.5. 22.6. F5. 27.6. 25.8.

  17. 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.

  18. 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.

  19. Real user evaluation of spoken dialogue systems using Amazon ...

    mi.eng.cam.ac.uk/~sjy/papers/jkgm11.pdf
    20 Feb 2018: Trial # users average # calls median # callsAMT 140 6.5 2Cambridge 17 24.4 20. ... vol. 24, no. 2, pp.150–174, 2010. [7] Amazon, “Amazon Mechanical Turk,” 2011.

  20. Segment Generation and Clustering in the HTK Broadcast News…

    mi.eng.cam.ac.uk/reports/full_html/hain_darpa98.html/
    1 Mar 2000: S. 0.56. 98.24. 1.20. T. 0.00. 1.19. 98.81. a). M. S.

  21. Abstract for woodland_lvcsr01

    mi.eng.cam.ac.uk/reports/abstracts/speech/woodland_lvcsr01.html
    27 Jul 2020: In the March 2001 Hub5 evaluation the CU-HTK system achieved an overall word error rate of 24.6%, which was the lowest word error rate by a statistically significant margin. |

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