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11 - 16 of 16 search results for Economics test |u:mi.eng.cam.ac.uk where 0 match all words and 16 match some words.

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  2. KERNELIZED LOG LINEAR MODELS FOR CONTINUOUS SPEECH RECOGNITION…

    mi.eng.cam.ac.uk/~mjfg/Kernel/sxz20_icassp13.pdf
    27 Mar 2013: Test setA was used as the development set for tuning parameters forall systems, such as the C in (4). ... SNR Test Set A(dB) HMM M-SVM LLM -1 LLM-2 LLM-320 1.7 1.5 1.4 1.3 1.115 2.4 2.0 1.9

  3. Department of Engineering 1 Generative Kernels and Score-Spaces…

    mi.eng.cam.ac.uk/~mjfg/Kernel/rcv25_2013_y2.pdf
    9 Sep 2013: ese scores then form features for the discriminative classiers. is. Test data O. ... is makes it possible to test the interaction with noise compensa-tion methods.

  4. A HIGH-PERFORMANCE CANTONESE KEYWORD SEARCH SYSTEM

    mi.eng.cam.ac.uk/~mjfg/ICASSP13_ibm2.pdf
    13 Jun 2013: 129–132. [2] “NIST spoken term dection portal,” http://www.itl.nist.gov/iad/mig/tests/std/. [3] “The 2006 spoken term detection evaluation ... mig/tests/std/2006/docs/std06-evalplan-v10.pdf.

  5. EFFICIENT DECODING WITH GENERATIVE SCORE-SPACESUSING THE EXPECTATION…

    mi.eng.cam.ac.uk/~mjfg/Kernel/van_dalen-2013-efficient_decoding.pdf
    27 Mar 2013: 4. EXPERIMENTS. The feature extraction process described in this paper was tested ina log-linear model on a small, noise-corrupted corpus: AURORA 2.This makes it possible to test the ... Test setSNR A B C(dB) HMM l l,l HMM l l,l HMM l l,l20 1.69 1.43

  6. SYSTEM COMBINATION AND SCORE NORMALIZATION FOR SPOKEN TERM DETECTION

    mi.eng.cam.ac.uk/~mjfg/ICASSP13_ibm1.pdf
    13 Jun 2013: It contains 200 hours oftraining audio; approximately 50% of the training data is silence.The test data is limited to only conversational data.

  7. Department of Engineering 1 E�cient decodingwith continuous rational…

    mi.eng.cam.ac.uk/~mjfg/Kernel/van_dalen-2012-tr-efficient_score-spaces.pdf
    27 Mar 2013: is makes it possible to test the interaction with noise compensation methods.e task uses a small vocabulary and no language model, which makes experimentswithout such optimisations as pruning possible. ... One of the three test sets, test set A,was used

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