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  2. UKspeech2017

    mi.eng.cam.ac.uk/UKSpeech2017/posters/y_wang.pdf
    17 Nov 2017: Bottleneck Layer. HLDA. DNN. HLDA. Fusion. Score. LSTM. FBank Test set%WER. ... From middle range of confidence Contains more than 30 L1s. By comparing the parse trees generated on ASR hypothesis against those from a gold standard manual reference, we
  3. maneval_hvd_new.eps

    mi.eng.cam.ac.uk/~mjfg/thesis_xc257.pdf
    9 May 2017: using 793K vocabulary. The train is run on GPU and test is on CPU. ... 126. 8.6 Out of Vocabulary (OOV) % for AMI and TTM test data.
  4. 11 Jul 2017: 121. 5.7 TED CD-DNN-HMM system 4-gram LM WERs on Dev2010, Tst2010,and Tst2011 test sets. ... Unsupervised test time adaptation experimentshave been conducted with hybrid, tandem, and stacked hybrid systems.

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