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Deep Speech: Scaling up end-to-end speech recognition
v1v2 (latest)

Deep Speech: Scaling up end-to-end speech recognition

17 December 2014
Awni Y. Hannun
Carl Case
Jared Casper
Bryan Catanzaro
G. Diamos
Erich Elsen
R. Prenger
S. Satheesh
Shubho Sengupta
Adam Coates
A. Ng
ArXiv (abs)PDFHTML

Papers citing "Deep Speech: Scaling up end-to-end speech recognition"

50 / 768 papers shown
Title
Neural Machine Translation with Characters and Hierarchical Encoding
Neural Machine Translation with Characters and Hierarchical Encoding
alexander rosenberg johansen
Jonas Meinertz Hansen
Elias Khazen Obeid
C. Sønderby
Ole Winther
74
7
0
20 Oct 2016
Achieving Human Parity in Conversational Speech Recognition
Achieving Human Parity in Conversational Speech Recognition
Wayne Xiong
J. Droppo
Xuedong Huang
Frank Seide
M. Seltzer
A. Stolcke
Dong Yu
Geoffrey Zweig
282
589
0
17 Oct 2016
Very Deep Convolutional Neural Networks for Raw Waveforms
Very Deep Convolutional Neural Networks for Raw Waveforms
Wei Dai
Chia Dai
Shuhui Qu
Juncheng Billy Li
Samarjit Das
258
371
0
01 Oct 2016
Joint CTC-Attention based End-to-End Speech Recognition using Multi-task
  Learning
Joint CTC-Attention based End-to-End Speech Recognition using Multi-task Learning
Suyoun Kim
Takaaki Hori
Shinji Watanabe
281
972
0
21 Sep 2016
Advances in All-Neural Speech Recognition
Advances in All-Neural Speech Recognition
Geoffrey Zweig
Chengzhu Yu
J. Droppo
A. Stolcke
181
95
0
19 Sep 2016
The Microsoft 2016 Conversational Speech Recognition System
The Microsoft 2016 Conversational Speech Recognition System
Wayne Xiong
J. Droppo
Xuedong Huang
Frank Seide
M. Seltzer
A. Stolcke
Dong Yu
Geoffrey Zweig
237
291
0
12 Sep 2016
Wav2Letter: an End-to-End ConvNet-based Speech Recognition System
Wav2Letter: an End-to-End ConvNet-based Speech Recognition System
R. Collobert
Christian Puhrsch
Gabriel Synnaeve
3DV
216
293
0
11 Sep 2016
Defeating Image Obfuscation with Deep Learning
Defeating Image Obfuscation with Deep Learning
R. McPherson
Reza Shokri
Vitaly Shmatikov
CVBM
242
181
0
01 Sep 2016
Deep learning is competing random forest in computational docking
Deep learning is competing random forest in computational docking
Mohamed A. Khamis
Walid Gomaa
Basem Galal
57
8
0
23 Aug 2016
Fathom: Reference Workloads for Modern Deep Learning Methods
Fathom: Reference Workloads for Modern Deep Learning MethodsIEEE International Symposium on Workload Characterization (IISWC), 2016
Robert Adolf
Saketh Rama
Brandon Reagen
Gu-Yeon Wei
David Brooks
125
186
0
23 Aug 2016
Cognitive Science in the era of Artificial Intelligence: A roadmap for
  reverse-engineering the infant language-learner
Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner
Emmanuel Dupoux
280
175
0
29 Jul 2016
DSD: Dense-Sparse-Dense Training for Deep Neural Networks
DSD: Dense-Sparse-Dense Training for Deep Neural Networks
Song Han
Jeff Pool
Sharan Narang
Huizi Mao
Enhao Gong
...
Peter Vajda
Manohar Paluri
J. Tran
Bryan Catanzaro
W. Dally
CVBM
178
83
0
15 Jul 2016
Characterizing Driving Styles with Deep Learning
Characterizing Driving Styles with Deep Learning
Weishan Dong
Jian Li
Renjie Yao
Changsheng Li
Ting Yuan
Lanjun Wang
132
107
0
13 Jul 2016
A Taxonomy and Library for Visualizing Learned Features in Convolutional
  Neural Networks
A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks
Felix Grün
Christian Rupprecht
Nassir Navab
Federico Tombari
SSLFAtt
151
77
0
24 Jun 2016
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN
  Acceleration
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration
Renzo Andri
Lukas Cavigelli
D. Rossi
Luca Benini
282
201
0
17 Jun 2016
Exponential expressivity in deep neural networks through transient chaos
Exponential expressivity in deep neural networks through transient chaos
Ben Poole
Subhaneil Lahiri
M. Raghu
Jascha Narain Sohl-Dickstein
Surya Ganguli
322
632
0
16 Jun 2016
Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural
  Networks
Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural Networks
M. Shafiee
A. Mishra
A. Wong
214
44
0
14 Jun 2016
Review of state-of-the-arts in artificial intelligence with application
  to AI safety problem
Review of state-of-the-arts in artificial intelligence with application to AI safety problem
V. Shakirov
143
10
0
11 May 2016
The IBM 2016 English Conversational Telephone Speech Recognition System
The IBM 2016 English Conversational Telephone Speech Recognition System
G. Saon
Tom Sercu
Steven J. Rennie
H. Kuo
103
107
0
27 Apr 2016
Character-Level Neural Translation for Multilingual Media Monitoring in
  the SUMMA Project
Character-Level Neural Translation for Multilingual Media Monitoring in the SUMMA Project
Guntis Barzdins
Steve Renals
D. Gosko
67
6
0
05 Apr 2016
Neural Language Correction with Character-Based Attention
Neural Language Correction with Character-Based Attention
Ziang Xie
Anand Avati
N. Arivazhagan
Dan Jurafsky
A. Ng
126
147
0
31 Mar 2016
Learning Multiscale Features Directly From Waveforms
Learning Multiscale Features Directly From Waveforms
Zhenyao Zhu
Jesse Engel
Awni Y. Hannun
158
65
0
31 Mar 2016
Deep Extreme Feature Extraction: New MVA Method for Searching Particles
  in High Energy Physics
Deep Extreme Feature Extraction: New MVA Method for Searching Particles in High Energy Physics
Chao Ma
Tianchenghou
Bin Lan
Jinhui Xu
Zhenhua Zhang
64
0
0
24 Mar 2016
Emotion Classification from Noisy Speech - A Deep Learning Approach
Emotion Classification from Noisy Speech - A Deep Learning Approach
R. Rana
87
10
0
18 Mar 2016
Noisy Activation Functions
Noisy Activation Functions
Çağlar Gülçehre
Marcin Moczulski
Misha Denil
Yoshua Bengio
242
299
0
01 Mar 2016
Segmental Recurrent Neural Networks for End-to-end Speech Recognition
Segmental Recurrent Neural Networks for End-to-end Speech Recognition
Liang Lu
Lingpeng Kong
Chris Dyer
Noah A. Smith
Steve Renals
185
81
0
01 Mar 2016
Look, Listen and Learn - A Multimodal LSTM for Speaker Identification
Look, Listen and Learn - A Multimodal LSTM for Speaker Identification
Jimmy S. J. Ren
Yongtao Hu
Yu-Wing Tai
Chuan Wang
Kepeng Xu
Wenxiu Sun
Qiong Yan
161
111
0
13 Feb 2016
Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation
Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation
Colin S. Lea
A. Reiter
René Vidal
Gregory Hager
654
294
0
09 Feb 2016
Lipreading with Long Short-Term Memory
Lipreading with Long Short-Term Memory
Michael Wand
Jan Koutník
Jürgen Schmidhuber
165
221
0
29 Jan 2016
Character-Level Incremental Speech Recognition with Recurrent Neural
  Networks
Character-Level Incremental Speech Recognition with Recurrent Neural Networks
Kyuyeon Hwang
Wonyong Sung
120
63
0
25 Jan 2016
Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep
  Learning Architecture
Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture
Ashesh Jain
H. Koppula
Shane Soh
Bharad Raghavan
Avi Singh
Ashutosh Saxena
175
136
0
05 Jan 2016
Efficient Deep Feature Learning and Extraction via StochasticNets
Efficient Deep Feature Learning and Extraction via StochasticNets
M. Shafiee
P. Siva
Paul Fieguth
A. Wong
107
3
0
11 Dec 2015
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Dario Amodei
Rishita Anubhai
Eric Battenberg
Carl Case
Jared Casper
...
Chong-Jun Wang
Bo Xiao
Dani Yogatama
J. Zhan
Zhenyao Zhu
1.1K
3,094
0
08 Dec 2015
Driverseat: Crowdstrapping Learning Tasks for Autonomous Driving
Driverseat: Crowdstrapping Learning Tasks for Autonomous Driving
Pranav Rajpurkar
Toki Migimatsu
Jeff Kiske
Royce Cheng-Yue
S. Tandon
Tao Wang
A. Ng
117
5
0
07 Dec 2015
On Learning to Think: Algorithmic Information Theory for Novel
  Combinations of Reinforcement Learning Controllers and Recurrent Neural World
  Models
On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models
Jürgen Schmidhuber
156
110
0
30 Nov 2015
Regularizing RNNs by Stabilizing Activations
Regularizing RNNs by Stabilizing Activations
David M. Krueger
Roland Memisevic
392
81
0
26 Nov 2015
Online Sequence Training of Recurrent Neural Networks with Connectionist
  Temporal Classification
Online Sequence Training of Recurrent Neural Networks with Connectionist Temporal Classification
Kyuyeon Hwang
Wonyong Sung
188
9
0
21 Nov 2015
Task Loss Estimation for Sequence Prediction
Task Loss Estimation for Sequence Prediction
Dzmitry Bahdanau
Dmitriy Serdyuk
Philemon Brakel
Nan Rosemary Ke
J. Chorowski
Aaron Courville
Yoshua Bengio
207
33
0
19 Nov 2015
Comparative Study of Deep Learning Software Frameworks
Comparative Study of Deep Learning Software Frameworks
S. Bahrampour
Naveen Ramakrishnan
Lukas Schott
Mohak Shah
158
166
0
19 Nov 2015
Recurrent Models for Auditory Attention in Multi-Microphone Distance
  Speech Recognition
Recurrent Models for Auditory Attention in Multi-Microphone Distance Speech Recognition
Suyoun Kim
Ian Lane
101
26
0
19 Nov 2015
Segmental Recurrent Neural Networks
Segmental Recurrent Neural Networks
Lingpeng Kong
Chris Dyer
Noah A. Smith
217
124
0
18 Nov 2015
Neural Programmer: Inducing Latent Programs with Gradient Descent
Neural Programmer: Inducing Latent Programs with Gradient Descent
Arvind Neelakantan
Quoc V. Le
Ilya Sutskever
ODL
277
267
0
16 Nov 2015
Learning Human Identity from Motion Patterns
Learning Human Identity from Motion Patterns
Natalia Neverova
Christian Wolf
Griffin Lacey
Alex Fridman
Deepak Chandra
Brandon Barbello
Graham W. Taylor
249
182
0
12 Nov 2015
FireCaffe: near-linear acceleration of deep neural network training on
  compute clusters
FireCaffe: near-linear acceleration of deep neural network training on compute clusters
F. Iandola
Khalid Ashraf
Matthew W. Moskewicz
Kurt Keutzer
352
308
0
31 Oct 2015
Batch Normalized Recurrent Neural Networks
Batch Normalized Recurrent Neural Networks
César Laurent
Gabriel Pereyra
Philemon Brakel
Yanzhe Zhang
Yoshua Bengio
177
217
0
05 Oct 2015
Recurrent Neural Networks for Driver Activity Anticipation via
  Sensory-Fusion Architecture
Recurrent Neural Networks for Driver Activity Anticipation via Sensory-Fusion Architecture
Ashesh Jain
Avi Singh
H. Koppula
Shane Soh
Ashutosh Saxena
164
268
0
16 Sep 2015
Deep Convolutional Neural Networks for Smile Recognition
Deep Convolutional Neural Networks for Smile Recognition
P. Glauner
CVBM
122
38
0
26 Aug 2015
StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity
StochasticNet: Forming Deep Neural Networks via Stochastic ConnectivityIEEE Access (IEEE Access), 2015
M. Shafiee
P. Siva
A. Wong
223
30
0
22 Aug 2015
End-to-End Attention-based Large Vocabulary Speech Recognition
End-to-End Attention-based Large Vocabulary Speech RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015
Dzmitry Bahdanau
J. Chorowski
Dmitriy Serdyuk
Philemon Brakel
Yoshua Bengio
315
1,186
0
18 Aug 2015
Listen, Attend and Spell
Listen, Attend and SpellIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015
William Chan
Navdeep Jaitly
Quoc V. Le
Oriol Vinyals
RALM
407
2,369
0
05 Aug 2015
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