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  2. UK Speech Conference 2017

    mi.eng.cam.ac.uk/UKSpeech2017/
    17 Nov 2017: friends and make new ones.
  3. IB-search.dvi

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2017-IB-handout4.pdf
    21 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). {.
  4. 22 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
  5. summaOverviewPoster.key

    mi.eng.cam.ac.uk/UKSpeech2017/posters/s_renals.pdf
    17 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
  6. University of CambridgeEngineering Part IB Information Engineering…

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2017-DNN-lecture-1.pdf
    18 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.
  7. Deep Activation Mixture Model for Speech Recognition

    mi.eng.cam.ac.uk/UKSpeech2017/posters/c_wu.pdf
    17 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
  8. .poster_jeremy_v2.tex.dvi

    mi.eng.cam.ac.uk/UKSpeech2017/posters/j_wong.pdf
    17 Nov 2017: HUB4: English broadcast news. 144 hours training set, 6000 PDT states. •
  9. Modular Construction of Complex Deep Learning Architectures in HTK

    mi.eng.cam.ac.uk/UKSpeech2017/posters/f_kreyssig.pdf
    20 Nov 2017: I New Layer-Types such as CNN, GRU and LSTM layers areintroduced to HTK.
  10. Genigraphics Research Poster Template A0/A1

    mi.eng.cam.ac.uk/UKSpeech2017/posters/m_al-radhi.pdf
    17 Nov 2017: show the effect of adding Harmonics-to-Noise Ratio (HNR) as a new excitation parameter to the Continuous vocoder (see Fig.
  11. 4 BEAR, TAYLOR: VISUAL SPEECH RECOGNITION: A MINI REVIEW ...

    mi.eng.cam.ac.uk/UKSpeech2017/posters/h_bear_poster2.pdf
    23 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
  12. University of CambridgeEngineering Part IB Information Engineering…

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2017-DNN-lecture-2.pdf
    18 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.
  13. Template.dvi

    mi.eng.cam.ac.uk/~ar527/chen_icassp2017a.pdf
    22 Mar 2017: The hidden layer compresses the informationfrom these two inputs and computes a new representationvi1 usinga sigmoid activation to achieve non-linearity.
  14. Template.dvi

    mi.eng.cam.ac.uk/~mjfg/CUED-Chen-RNNLMKWS.pdf
    22 Mar 2017: The hidden layer compresses the informationfrom these two inputs and computes a new representationvi1 usinga sigmoid activation to achieve non-linearity.
  15. MORPH-TO-WORD TRANSDUCTION FOR ACCURATE AND EFFICIENT AUTOMATICSPEECH …

    mi.eng.cam.ac.uk/~mjfg/CUED-Ragni-Morph-To-Word.pdf
    22 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
  16. University of CambridgeEngineering Part IB Information Engineering…

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2017-DNN-lecture-3.pdf
    18 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.
  17. Published as a conference paper at ICLR 2016 TRAINING ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2016-ICLR-low-rank-filter.pdf
    14 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
  18. How Does the Femoral Cortex Depend onBone Shape? A ...

    mi.eng.cam.ac.uk/reports/svr-ftp/gee_tr704.pdf
    15 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
  19. Published as a conference paper at ICLR 2016 TRAINING ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2016-ICLR-low-rank-filter.pdf
    14 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
  20. maneval_hvd_new.eps

    mi.eng.cam.ac.uk/~mjfg/thesis_xc257.pdf
    9 May 2017: is kept and will be used for computing new history vector. ... kept and will be used for computing new history vector. 82.
  21. 11 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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