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FEATURES RECOGNIZ
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Speech Recognition with Deep Neural Networks (D3L2 Deep Learning for Speech and Language UPC 2017)
Speech Recognition with Deep Neural Networks (D3L2 Deep Learning for Speech and Language UPC 2017)
Speech Recognition with Deep Neural Networks (D3L2 Deep Learning for Speech and Language UPC 2017)
Speech Recognition with Deep Neural Networks (D3L2 Deep Learning for Speech and Language UPC 2017)
Speech Recognition with Deep Neural Networks (D3L2 Deep Learning for Speech and Language UPC 2017)
Speech Recognition with Deep Neural Networks (D3L2 Deep Learning for Speech and Language UPC 2017)
Speech Recognition with Deep Neural Networks (D3L2 Deep Learning for Speech and Language UPC 2017)
Speech Recognition with Deep Neural Networks (D3L2 Deep Learning for Speech and Language UPC 2017)
Speech Recognition with Deep Neural Networks (D3L2 Deep Learning for Speech and Language UPC 2017)
Speech Recognition with Deep Neural Networks (D3L2 Deep Learning for Speech and Language UPC 2017)
Speech Recognition with Deep Neural Networks (D3L2 Deep Learning for Speech and Language UPC 2017)
Speech Recognition with Deep Neural Networks (D3L2 Deep Learning for Speech and Language UPC 2017)
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Speech Recognition with Deep Neural Networks (D3L2 Deep Learning for Speech and Language UPC 2017)

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Published on

https://telecombcn-dl.github.io/2017-dlsl/

Winter School on Deep Learning for Speech and Language. UPC BarcelonaTech ETSETB TelecomBCN.

The aim of this course is to train students in methods of deep learning for speech and language. Recurrent Neural Networks (RNN) will be presented and analyzed in detail to understand the potential of these state of the art tools for time series processing. Engineering tips and scalability issues will be addressed to solve tasks such as machine translation, speech recognition, speech synthesis or question answering. Hands-on sessions will provide development skills so that attendees can become competent in contemporary data analytics tools.

Published in: Data & Analytics
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Speech Recognition with Deep Neural Networks (D3L2 Deep Learning for Speech and Language UPC 2017)

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  2. 2. FEATURES RECOGNIZ ER DECISIO N Lexicon Acoustic Models Languag e models TASK INFO Featur e vector N-bes t Hip. RECOGNIZE D SENTENCE m c o p h o n
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