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Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups

, , , , , , , , , , and . IEEE Signal Processing Magazine, 29 (6): 82--97 (2012)

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Phone recognition using Restricted Boltzmann Machines., and . ICASSP, page 4354-4357. IEEE, (2010)Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups, , , , , , , , , and 1 other author(s). IEEE Signal Processing Magazine, 29 (6): 82--97 (2012)Memory-augmented Attention Modelling for Videos., , , , and . CoRR, (2016)Differentiable Greedy Networks., , , , , , and . CoRR, (2018)Neuro-Symbolic Program Synthesis., , , , , and . CoRR, (2016)Understanding how Deep Belief Networks perform acoustic modelling., , and . ICASSP, page 4273-4276. IEEE, (2012)Making Deep Belief Networks effective for large vocabulary continuous speech recognition., , , , , and . ASRU, page 30-35. IEEE, (2011)Deep bi-directional recurrent networks over spectral windows., , , , , , and . ASRU, page 78-83. IEEE, (2015)Acoustic Modeling Using Deep Belief Networks., , and . IEEE Trans. Audio, Speech & Language Processing, 20 (1): 14-22 (2012)Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine., , , and . NIPS, page 469-477. Curran Associates, Inc., (2010)