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Deep Density Networks with Uncertainty for spontaneous spoken…
mi.eng.cam.ac.uk/UKSpeech2017/posters/a_malinin.pdf17 Nov 2017: I Non-parametric Bayesian model: fGP(x;D) µg (x),σ2g (x)I Uncertainty depends on proximity of test data to training dataI Limitations - O(n2) memory, O(n3) compute use -
Comparison between Hessian Free and Natural Gradient training for DNN …
mi.eng.cam.ac.uk/UKSpeech2017/posters/a_haider.pdf20 Nov 2017: sampled from 12 shows).I Test set : dev.sub2 audio from the remaining 35 shows in the. -
Experimental Studies on Teacher-student Training of Deep Neural…
mi.eng.cam.ac.uk/UKSpeech2017/posters/q_li.pdf20 Nov 2017: I Full test set: 1344 utterances from 168 speakers, 0.81 hours.I 13 dimensional MFCC features with and. -
Language Independent Bootstrapping for Automatic Speech Recognition…
mi.eng.cam.ac.uk/UKSpeech2017/posters/a_ragni.pdf17 Nov 2017: FLP 60 0.5442 0.4196 0.5487 0.6030. I hit 0.3 MTWV IARPA Babel program target on all test languages. -
Modular Construction of Complex Deep Learning Architectures in HTK
mi.eng.cam.ac.uk/UKSpeech2017/posters/f_kreyssig.pdf20 Nov 2017: I Models were decoded on the full test set using a bigram phonelanguage model. -
Genigraphics Research Poster Template A0/A1
mi.eng.cam.ac.uk/UKSpeech2017/posters/m_al-radhi.pdf17 Nov 2017: Budapest University of Technology and Economics, Department of Telecommunication and Media Informatics,.
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