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A Comprehensive Study of Deep Bidirectional LSTM RNNs for Acoustic
  Modeling in Speech Recognition

A Comprehensive Study of Deep Bidirectional LSTM RNNs for Acoustic Modeling in Speech Recognition

22 June 2016
Albert Zeyer
P. Doetsch
P. Voigtlaender
Ralf Schluter
Hermann Ney
ArXivPDFHTML

Papers citing "A Comprehensive Study of Deep Bidirectional LSTM RNNs for Acoustic Modeling in Speech Recognition"

18 / 18 papers shown
Title
RETURNN: The RWTH Extensible Training framework for Universal Recurrent
  Neural Networks
RETURNN: The RWTH Extensible Training framework for Universal Recurrent Neural Networks
P. Doetsch
Albert Zeyer
P. Voigtlaender
Ilya Kulikov
Ralf Schluter
Hermann Ney
40
74
0
02 Aug 2016
Associative Long Short-Term Memory
Associative Long Short-Term Memory
Ivo Danihelka
Greg Wayne
Benigno Uria
Nal Kalchbrenner
Alex Graves
33
178
0
09 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
Adding Gradient Noise Improves Learning for Very Deep Networks
Adding Gradient Noise Improves Learning for Very Deep Networks
Arvind Neelakantan
Luke Vilnis
Quoc V. Le
Ilya Sutskever
Lukasz Kaiser
Karol Kurach
James Martens
AI4CE
ODL
44
544
0
21 Nov 2015
Highway Long Short-Term Memory RNNs for Distant Speech Recognition
Highway Long Short-Term Memory RNNs for Distant Speech Recognition
Yu Zhang
Guoguo Chen
Dong Yu
Kaisheng Yao
Sanjeev Khudanpur
James R. Glass
3DV
AI4TS
53
291
0
30 Oct 2015
Benchmarking of LSTM Networks
Benchmarking of LSTM Networks
Thomas Breuel
55
48
0
11 Aug 2015
Training Very Deep Networks
Training Very Deep Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
101
1,675
0
22 Jul 2015
Deep Recurrent Neural Networks for Acoustic Modelling
Deep Recurrent Neural Networks for Acoustic Modelling
William Chan
Ian Lane
40
44
0
07 Apr 2015
LSTM: A Search Space Odyssey
LSTM: A Search Space Odyssey
Klaus Greff
R. Srivastava
Jan Koutník
Bas R. Steunebrink
Jürgen Schmidhuber
AI4TS
VLM
80
5,283
0
13 Mar 2015
ADASECANT: Robust Adaptive Secant Method for Stochastic Gradient
ADASECANT: Robust Adaptive Secant Method for Stochastic Gradient
Çağlar Gülçehre
Marcin Moczulski
Yoshua Bengio
ODL
53
20
0
23 Dec 2014
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
852
149,474
0
22 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
293
12,662
0
11 Dec 2014
Constructing Long Short-Term Memory based Deep Recurrent Neural Networks
  for Large Vocabulary Speech Recognition
Constructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Vocabulary Speech Recognition
Xiangang Li
Xihong Wu
47
308
0
16 Oct 2014
Deep Learning in Neural Networks: An Overview
Deep Learning in Neural Networks: An Overview
Jürgen Schmidhuber
HAI
176
16,311
0
30 Apr 2014
Long Short-Term Memory Based Recurrent Neural Network Architectures for
  Large Vocabulary Speech Recognition
Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition
Hasim Sak
A. Senior
F. Beaufays
70
1,050
0
05 Feb 2014
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
113
6,619
0
22 Dec 2012
Theano: new features and speed improvements
Theano: new features and speed improvements
Frédéric Bastien
Pascal Lamblin
Razvan Pascanu
James Bergstra
Ian Goodfellow
Arnaud Bergeron
Nicolas Bouchard
David Warde-Farley
Yoshua Bengio
75
1,420
0
23 Nov 2012
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
385
7,650
0
03 Jul 2012
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