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End-to-end continuous speech recognition using attention-based recurrent NN: first results - 2014.pdf

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End-to-end continuous speech recognition using attention-based recurrent NN: first results - 2014.pdf
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Effective approaches to attention-based neural machine translation - 2015.pdf
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End-to-end deep neural network for automatic speech recognition - 2015.pdf
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Directly comparing the listening strategies of humans and machines - 2016.pdf
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Environmental noise embeddings for robust speech recognition - 2016.pdf
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Deep speech: Scaling up end-to-end speech recognition - Baidu - 2014.pdf
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Exploiting deep neural networks for detection-based speech recognition - 2013.pdf
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Deep speech 2: End-to-end speech recognition in English and Mandarin - 2015.pdf
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Factored recurrent neural network language model in TED lecture transcription - 2012.pdf
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Deep neural networks for acoustic modeling in speech recognition - 2012.pdf
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Fast and accurate recurrent neural network acoustic models for speech recognition - 2015.pdf
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Deep LSTM for large vocabulary continuous speech recognition - 2017.pdf
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Formalizing knowledge used in spectrogram reading: Acoustic and perceptual evidence from stops - 1988.pdf
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Convolutional, long short-term memory, fully connected deep neural networks - Google - 2015.pdf
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Generating adversarial examples for speech recognition.pdf
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Character-level incremental speech recognition with recurrent neural networks - 2016.pdf
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Improving searchability of automatically transcribed lectures through dynamic language modelling - dissertation - wikipedia - 2012.pdf
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Character-based neural machine translation - 2015.pdf
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Integrated adaptation with multi-factor joint-learning for far-field speech recognition - 2016.pdf
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Can neural machine translation do simultaneous translation? - 2016.pdf
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