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UK Speech Conference 2017
mi.eng.cam.ac.uk/UKSpeech2017/17 Nov 2017: friends and make new ones. -
IB-search.dvi
mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2017-IB-handout4.pdf21 May 2017: return new Node(value, nothing, nothing);. if(value == current.value). return current;. if(value < current.value). ... list<vector> leftData = new list<vector>();. list<vector> rightData = new list<vector>();. foreach(vector dataPoint in data). {. -
MORPH-TO-WORD TRANSDUCTION FOR ACCURATE AND EFFICIENT AUTOMATICSPEECH …
mi.eng.cam.ac.uk/~ar527/ragni_icassp2017a.pdf22 Mar 2017: In order to ensure thatdifferent unit searches can be applied on the morph index it shouldenable changing posterior probabilities depending on the unit toincorporate new information such as word language model ... Makhoul,“Recent progress in arabic -
summaOverviewPoster.key
mi.eng.cam.ac.uk/UKSpeech2017/posters/s_renals.pdf17 Nov 2017: Sentiment Extraction. SUMMA PlatformDatabase. VisualisationsPrototypes. SUMMA PlatformSUMMA Aimsmonitor hundreds of live news sources transcribe spoken content in different languages translate content into English organise news streams into -
University of CambridgeEngineering Part IB Information Engineering…
mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2017-DNN-lecture-1.pdf18 May 2017: The. New York Times reported the per-. ceptron to be “the embryo of an. ... the difference between two different images of numbers. Using. this new dataset, we can replicate those experiments, though. -
Deep Activation Mixture Model for Speech Recognition
mi.eng.cam.ac.uk/UKSpeech2017/posters/c_wu.pdf17 Nov 2017: l)k. ). 6. Experiment. I Data and setupI 144-hour English broadcast news dataset (LDC97S44, LDC98S71)I DNN-HMM hybrid ASR frameworkI 5 hidden layers with 1024 units for both DNN -
.poster_jeremy_v2.tex.dvi
mi.eng.cam.ac.uk/UKSpeech2017/posters/j_wong.pdf17 Nov 2017: HUB4: English broadcast news. 144 hours training set, 6000 PDT states. • -
Modular Construction of Complex Deep Learning Architectures in HTK
mi.eng.cam.ac.uk/UKSpeech2017/posters/f_kreyssig.pdf20 Nov 2017: I New Layer-Types such as CNN, GRU and LSTM layers areintroduced to HTK. -
Genigraphics Research Poster Template A0/A1
mi.eng.cam.ac.uk/UKSpeech2017/posters/m_al-radhi.pdf17 Nov 2017: show the effect of adding Harmonics-to-Noise Ratio (HNR) as a new excitation parameter to the Continuous vocoder (see Fig. -
4 BEAR, TAYLOR: VISUAL SPEECH RECOGNITION: A MINI REVIEW ...
mi.eng.cam.ac.uk/UKSpeech2017/posters/h_bear_poster2.pdf23 Dec 2017: This is speaker independent lipreading,see Figure 5. It ensures that the model is learning a classifier that is not biased by the identityof the speaker, and is generalisable to new ... speakers from the training set and new speakers, but speakers must -
University of CambridgeEngineering Part IB Information Engineering…
mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2017-DNN-lecture-2.pdf18 May 2017: Training a Multiperceptron. How does this new classifier perform? Below we see three. ... Rectified Linear Units. To overcome the problem of vanishing gradients, a new form. -
Template.dvi
mi.eng.cam.ac.uk/~ar527/chen_icassp2017a.pdf22 Mar 2017: The hidden layer compresses the informationfrom these two inputs and computes a new representationvi1 usinga sigmoid activation to achieve non-linearity. -
Template.dvi
mi.eng.cam.ac.uk/~mjfg/CUED-Chen-RNNLMKWS.pdf22 Mar 2017: The hidden layer compresses the informationfrom these two inputs and computes a new representationvi1 usinga sigmoid activation to achieve non-linearity. -
MORPH-TO-WORD TRANSDUCTION FOR ACCURATE AND EFFICIENT AUTOMATICSPEECH …
mi.eng.cam.ac.uk/~mjfg/CUED-Ragni-Morph-To-Word.pdf22 Mar 2017: In order to ensure thatdifferent unit searches can be applied on the morph index it shouldenable changing posterior probabilities depending on the unit toincorporate new information such as word language model ... Makhoul,“Recent progress in arabic -
University of CambridgeEngineering Part IB Information Engineering…
mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2017-DNN-lecture-3.pdf18 May 2017: ing multi-layer perceptron:input. 784. F1. 1000. F2. 1000. F3. 10. While this new notation is nice, it obscures the sheer scale. ... Convolutional Neural Nets 11. Anatomy of a Deep Net. Using these new building blocks, we can now fully examine. -
Published as a conference paper at ICLR 2016 TRAINING ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2016-ICLR-low-rank-filter.pdf14 Jan 2017: ABSTRACT. We propose a new method for creating computationally efficient convolutionalneural networks (CNNs) by using low-rank representations of convolutional fil-ters. ... This is made possible by a new way of initializing the networks weights which -
How Does the Femoral Cortex Depend onBone Shape? A ...
mi.eng.cam.ac.uk/reports/svr-ftp/gee_tr704.pdf15 Jun 2017: As the armature bends, the mesh vertices aredragged to their new positions by their respective bones. ... 14. density at broad regions of interest, the apparent increase in CMSD with increasing neck-shaft angle at thecalcar femorale is a new finding and -
Published as a conference paper at ICLR 2016 TRAINING ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2016-ICLR-low-rank-filter.pdf14 Jan 2017: ABSTRACT. We propose a new method for creating computationally efficient convolutionalneural networks (CNNs) by using low-rank representations of convolutional fil-ters. ... This is made possible by a new way of initializing the networks weights which -
maneval_hvd_new.eps
mi.eng.cam.ac.uk/~mjfg/thesis_xc257.pdf9 May 2017: is kept and will be used for computing new history vector. ... kept and will be used for computing new history vector. 82. -
Joint Training Methods for Tandem and Hybrid Speech Recognition…
mi.eng.cam.ac.uk/~cz277/doc/Thesis-PhD.pdf11 Jul 2017: The major advantage of thismethodology is to allow the reuse of many existing methods developed in the past inthe new deep learning based framework (Gales, 1998, 1999; Gauvain and Lee, ... Implemented a generic ANN model extension in HTK. The new ANN
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