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| About 369 results [PDF] Sequence Discriminative Distributed Training of Long Short-Term ...https://pdfs.semanticscholar.org/.../9aec5e68d49142c5af6a9f0a984f6c2c743a Sequence Discriminative Distributed Training of Long Short-Term Memory. Recurrent Neural Networks. Hasim Sak, Oriol Vinyals, Georg Heigold. Andrew Senior, Erik McDermott, Rajat Monga, Mark Mao. Google, USA. {hasim,vinyals, heigold ... Index Terms: recurrent neural network, long short-term mem- ory, sequence ... Sequence Discriminative Distributed Training of Long Short-Term ...https://research.google.com/pubs/pub42547.html - Cached Sequence Discriminative Distributed Training of Long Short-Term Memory Recurrent Neural Networks ... Memory Recurrent Neural Networks}, author = { Hasim Sak and Oriol Vinyals and Georg Heigold and Andrew Senior and Erik McDermott and Rajat Monga and Mark Mao}, year = 2014, booktitle = { Interspeech} } ... [PDF] Sequence-Discriminative Training of Recurrent Neural Networkshttps://www.vision.rwth-aachen.de/media/papers/lstm-seq.pdf - Cached ... long short- term memory, sequence-discriminative training, handwriting ... long short-term memory recurrent neural networks (BLSTM- ..... models using distributed hessian-free optimization.,” in Proc. ... [8] Hasim Sak, Oriol Vinyals, Georg Heigold, Andrew Senior,. Erik McDermott, Rajat Monga, and Mark Mao, “ Sequence. [PDF] Large Vocabulary Continuous Speech Recognition with Long Short ...Oriol Vinyals, Georg Heigold, Erik McDermott,. Rajat Monga, Mark Mao, Françoise Beaufays ... [2014b,a, 2015], Senior et al. ... Distributed training of LSTM RNNs ... Speech synthesis: phone sequence + timing to synthesis parameters (like .... Long Short-Term Memory Recurrent Neural. Networks. • Replace the units of an ... [PDF] Large Vocabulary Continuous Speech Recognition with Long Short ...https://labrosa.ee.columbia.edu/cuneuralnet/senior111214.pdf - Cached Hasim Sak, Andrew Senior,. Oriol Vinyals, Georg Heigold, Erik McDermott,. Rajat Monga, Mark Mao, Françoise Beaufays ... See Sak et al. ... Long short-term memory recurrent neural networks. • Distributed training of LSTM RNNs ... network. • Recurrent layer activations encode a “state”. • Sequence labelling, classification,. Handbook of Pattern Recognition and Computer Vision - Google Books Resulthttps://books.google.com/books?isbn=9814656542 C H Chen - 2015 - 584 pages - Computers H. Sak, A. Senior, and F. Beaufays, Long short-term memory recurrent neural network ... H. Sak, O. Vinyals, G. Heigold, A. Senior, E. McDermott, R. Monga, and M. Mao, Sequence discriminative distributed training of long short-term memory recurrent ... J. Schmidhuber, Deep learning in neural networks: An overview, Neural ... [PDF] 9. Sequential Neural Models - Classesclasses.engr.oregonstate.edu/eecs/...006/.../9_RNN_LSTM_GRU.pdf - Cached Recurrent Neural Networks. • Similar .... Neural Network Architectures for Large Scale Acoustic Modeling H. Sak, A. Senior, F. Beaufays to appear in Interspeech 2014. ○ · Sequence Discriminative Distributed Training of Long Short-Term Memory ... Vinyals, G. Heigold A. Senior, E. McDermott, R. Monga, M. Mao to appear in ... Automatic Speech Recognition: A Deep Learning Approach - Google Books Resulthttps://books.google.com/books?isbn=1447157796 Morgan, N., Bourlard, H.A.: Neural networks for statistical recognition of ... L.: Investigation of full-sequence training of deep belief networks for speech ... 359– 364 (2009) Sak, H., Senior, A., Beaufays, F.: Long short-term memory recurrent neural ... discriminative distributed training of long short-term memory recurrent neural ... [PDF] discriminative method for recurrent neural network language modelshttps://wiki.inf.ed.ac.uk/.../ListenTerm3201415/discriminatice_lm.pdf - Cached A recurrent neural network language model (RNN-LM) can use a long ... criminative training method for RNN-LM by additionally consider- ... short and long context discriminative language modeling. ..... [17] H. Sak, O. Vinyals, G. Heigold, A. Senior, E. McDermott,. R. Monga, and M. Mao, “Sequence discriminative distributed. [PDF] A Context-Sensitive-Chunk BPTT Approach to Training ... - Microsofthttps://www.microsoft.com/en-us/research/wp.../paper_180.pdf - Cached (bidirectional) long short-term memory ((B)LSTM) recurrent neural networks (RNN) that splits each training sequence into chunks with appended ..... [17] H. Sak, O. Vinyals, G. Heigold, A. Senior, E. McDermott, R. Monga and M. Mao, “ Sequence discriminative distributed training of long short- term memory recurrent neural ... | ||