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UKspeech2017
mi.eng.cam.ac.uk/UKSpeech2017/posters/y_wang.pdf17 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 -
maneval_hvd_new.eps
mi.eng.cam.ac.uk/~mjfg/thesis_xc257.pdf9 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. -
Joint Training Methods for Tandem and Hybrid Speech Recognition…
mi.eng.cam.ac.uk/~cz277/doc/Thesis-PhD.pdf11 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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