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1 - 10 of 53 search results for Economics test |u:mi.eng.cam.ac.uk where 0 match all words and 53 match some words.

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  2. Joint Uncertainty Decoding for Noise Robust Speech Recognition H. ...

    mi.eng.cam.ac.uk/~mjfg/liao_INTER05.pdf
    19 Dec 2006: When models trainedin clean conditions are used in the real world, the mismatchbetween the training conditions and the test causes significantloss in recognition accuracy. ... Here. P (šn|xt, M̌) P (šn|yt, M̌) (10). where the model M̌ is now

  3. Who Really Spoke When? Finding Speaker Turns and Identities in…

    mi.eng.cam.ac.uk/reports/full_html/tranter_icassp06.html/
    9 Dec 2006: Rules with probability over a certain threshold are run simultaneously on the test data. ... Rules whose probability exceeds a threshold are then applied to the test data.

  4. WHO REALLY SPOKE WHEN?FINDING SPEAKER TURNS AND IDENTITIES IN ...

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_icassp06.pdf
    9 Dec 2006: and probabilitiesFind Ngram rules. human transcriptionand diarisation. (optional)assign categories. test datatraining data. ... Rules whose probability ex-ceeds a threshold are then applied to the test data.

  5. WHO REALLY SPOKE WHEN?FINDING SPEAKER TURNS AND IDENTITIES IN ...

    mi.eng.cam.ac.uk/reports/full_html/tranter_icassp06.html/paper.pdf
    9 Dec 2006: and probabilitiesFind Ngram rules. human transcriptionand diarisation. (optional)assign categories. test datatraining data. ... Rules whose probability ex-ceeds a threshold are then applied to the test data.

  6. DEVELOPMENT OF THE CUHTK 2004 MANDARIN CONVERSATIONAL TELEPHONESPEECH …

    mi.eng.cam.ac.uk/~mjfg/gales_ICASSP05.pdf
    22 Nov 2006: The final un-adapted performance on the dev04PE test set was 41.6%. ... Table 5 shows the effect of theuse of an automatic segmenter on the dev04 test data.

  7. THE CU-HTK MANDARIN BROADCAST NEWS TRANSCRIPTION SYSTEM R. Sinha, ...

    mi.eng.cam.ac.uk/~mjfg/sinha_ICASSP06.pdf
    22 Nov 2006: The finalsystem shows state-of-the-art performance over a range of test sets. ... This approach was not found to perform reliably across differ-ent types of test data.

  8. Discriminative Adaptation for Speaker Verification C. Longworth and…

    mi.eng.cam.ac.uk/~mjfg/longworth_INTER06.pdf
    22 Nov 2006: Though gains inthe posterior of the correct speaker were obtained in training thesedid not generalise well to the test data. ... Eurospeech, 1997. [11] A. Martin, “The NIST year 2002 speaker recog-nition evaluation plan,” 2002, Available

  9. AUGMENTED STATISTICAL MODELS FOR SPEECH RECOGNITION M.I. Layton and…

    mi.eng.cam.ac.uk/~mjfg/layton_ICASSP06.pdf
    22 Nov 2006: C-Aug ML CML 7.3 9.1. Table 1. Training and test error rates for CAN/CAN’T. ... model (tests on MMI HMMssuggest that this may yield a gain of up to 0.5% absolute).

  10. IEEE TRANS. ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2007 ...

    mi.eng.cam.ac.uk/~mjfg/gales_ASL.pdf
    22 Nov 2006: The various models andrecognition configurations are evaluated using several recent BNdevelopment and evaluation test sets. ... Test set # Shows Hours Period. dev03 6 3 Jan. 2001eval03 6 3 Feb.

  11. JOURNAL OF IEEE TRANS. ACOUST., SPEECH, SIGNAL PROCESSING, JULY ...

    mi.eng.cam.ac.uk/~mjfg/sim_SAP06.pdf
    22 Nov 2006: Only 0.3% improvement wasobtained on this test set. 3See http://htk.eng.cam.ac.uk/docs/cuhtk.shtml4Significance tests were carried out using the NIST Scoring Toolkit. ... These systems wereevaluated on thedev03 andeval03 test sets, each consistingof 3

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