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Automatic speech recognition and machine translation system for MIT english lectures using MIT and TED corpus - 2013.pdf

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Automatic speech recognition and machine translation system for MIT english lectures using MIT and TED corpus - 2013.pdf
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A segmental framework for fully-unsupervised large-vocabulary speech recognition - 2016.pdf
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A wavenet for speech denoising - 2017.pdf
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An overview of speech recognition and synthesis.pdf
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Calibration of phone likelihoods in automatic speech recognition - 2016.pdf
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An empirical exploration of CTC acoustic models - 2016.pdf
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Can neural machine translation do simultaneous translation? - 2016.pdf
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A lecture transcription system combining neural network acoustic and language models - slides - 2013.pdf
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Character-based neural machine translation - 2015.pdf
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Advances in all-neural speech recognition - 2016.pdf
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Character-level incremental speech recognition with recurrent neural networks - 2016.pdf
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A comprehensive study of deep bidirectional LSTM RNNs for acoustic modeling in speech recognition - 2016.pdf
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Convolutional, long short-term memory, fully connected deep neural networks - Google - 2015.pdf
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Achieving human parity in conversational speech recognition - Microsoft - 2016.pdf
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Deep LSTM for large vocabulary continuous speech recognition - 2017.pdf
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A character-level decoder without explicit segmentation for neural machine translation - 2016.pdf
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Deep neural networks for acoustic modeling in speech recognition - 2012.pdf
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A bottom-up modular search approach to large vocabulary continuous 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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A 6 mW, 5,000-word real-time speech recognizer using WFST models - 2015.pdf
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