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1 - 10 of 40 search results for :pc53 24 / |u:mi.eng.cam.ac.uk where 0 match all words and 40 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. Pronunciation modeling by sharing Gaussians

    mi.eng.cam.ac.uk/reports/svr-ftp/nock_csl00.pdf
    31 Jul 2000: 0885–2308/00/020137 24 $35.00/0 c 2000 Academic Press. 138 M. Saraçlaret al.

  4. 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.

  5. Audio Indexing and Retrieval of Complete Broadcast News Shows ...

    mi.eng.cam.ac.uk/reports/svr-ftp/johnson_riao00.pdf
    10 Apr 2000: SPI Post RS NRS NS #Dup AveP R-PY B 96.0 39.39 27.42 752913 - -N B 95.8 37.52 24.92 698461 - -Y A 78.3 ... InProc. TREC-7, NIST SP 500-242, pages 1–24, Gaithersburg, MD. Introduction. Description of Task and Data.

  6. LARGE SCALE MMIE TRAINING FOR CONVERSATIONAL TELEPHONE SPEECH…

    mi.eng.cam.ac.uk/reports/full_html/woodland_stw00.html/
    5 Oct 2000: The bigram 1-best hypotheses had a 24.6% word error rate (WER) and a Lattice WER (LWER) of 6.2%...

  7. Segment Generation and Clustering in the HTKBroadcast News…

    mi.eng.cam.ac.uk/reports/svr-ftp/hain_darpa98.pdf
    8 Mar 2000: M S T. M 82.11 17.89 0.00N 15.27 84.22 0.51S 0.56 98.24 1.20T 0.00 1.19 98.81.

  8. 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.

  9. Effects of Out of Vocabulary Words in Spoken Document ...

    mi.eng.cam.ac.uk/reports/svr-ftp/woodland_sigir00.pdf
    10 May 2000: ID BASE BRF UBRF3k 22.2 24.4 33.37k 33.8 37.5 44.3. 14k 41.4 47.6 51.827k 43.0 49.7 53.855k 43.5

  10. The Applications of Uncalibrated Occlusion Junctions A.…

    mi.eng.cam.ac.uk/reports/svr-ftp/broadhurst_cipolla_bmvc1999.pdf
    25 Oct 2000: 7] M.A. FischlerandR.C.Bolles.Randomsampleconsensus:A paradigmfor modelfitting with applicationsto imageanalysisandautomatedcartography. CACM, 24(6):381–395,June1981. [8] R.I.

  11. LARGE SCALE MMIE TRAINING FOR CONVERSATIONALTELEPHONE SPEECH…

    mi.eng.cam.ac.uk/reports/svr-ftp/woodland_stw00.pdf
    5 Oct 2000: Lattices were generated on the training set using a bigramLM. The bigram 1-best hypotheses had a 24.6% word error rate(WER) and a Lattice WER (LWER) of 6.2%.

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