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11 - 14 of 14 search results for Economics test |u:mi.eng.cam.ac.uk where 0 match all words and 14 match some words.

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  2. STRUCTURED DISCRIMINATIVE MODELS USING DEEP NEURAL-NETWORK FEATURES…

    mi.eng.cam.ac.uk/~mjfg/vandalen_ASRU15.pdf
    12 Jul 2016: The test set is an ar-tificially corrupted subset of the development set of 1992 NovemberNIST evaluation using 6 types of noise under two microphone con-ditions with SNRs in the ... For each language, the training data (in the “verylimited language

  3. Structured Discriminative Models Using Deep Neural-Network Features

    mi.eng.cam.ac.uk/~mjfg/asru15-vanDalen.pdf
    11 Mar 2016: The test set is an ar-tificially corrupted subset of the development set of 1992 NovemberNIST evaluation using 6 types of noise under two microphone con-ditions with SNRs in the ... For each language, the training data (in the “verylimited language

  4. Deep Learning for Speech Processing - An NST Perspective

    mi.eng.cam.ac.uk/~mjfg/NST_2016.pdf
    29 Sep 2016: MTEDNN. FEDNN. MTEBNDNN. FEBNDNN. MTEBNDNN. MTEDNN. FEBNDNN. MTEDNN. Figure 3: Preference test results for naturalness. ... The samples used in the listening tests are vailable on-line via: http://datashare.is.ed.ac.uk/handle/10283/786.

  5. Structured and InûniteDiscriminative Models for Speech Recognition…

    mi.eng.cam.ac.uk/~mjfg/thesis_jy308.pdf
    26 Jul 2016: 94. 6.1 he change of log-likelihood. 136. 6.2 he performance of the iLLM with large margin training of each expert onthe test set A of the AURORA 2 ... 146. 6.6 heconfusion matrixcorresponds to the results of the iLLM (LargeMargin)on the test set A of

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