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

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
ArXivPDFHTML

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

50 / 750 papers shown
Title
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
13
5
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
21
142
0
31 Mar 2016
Learning Multiscale Features Directly From Waveforms
Learning Multiscale Features Directly From Waveforms
Zhenyao Zhu
Jesse Engel
Awni Y. Hannun
31
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
16
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
24
10
0
18 Mar 2016
Noisy Activation Functions
Noisy Activation Functions
Çağlar Gülçehre
Marcin Moczulski
Misha Denil
Yoshua Bengio
9
283
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
14
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
Li Xu
Wenxiu Sun
Qiong Yan
35
108
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
12
268
0
09 Feb 2016
Lipreading with Long Short-Term Memory
Lipreading with Long Short-Term Memory
Michael Wand
Jan Koutník
Jürgen Schmidhuber
19
214
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
12
62
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
51
126
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
26
2
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
21
2,954
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
11
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
21
101
0
30 Nov 2015
Regularizing RNNs by Stabilizing Activations
Regularizing RNNs by Stabilizing Activations
David M. Krueger
Roland Memisevic
13
79
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
8
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
19
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
16
161
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
16
26
0
19 Nov 2015
Segmental Recurrent Neural Networks
Segmental Recurrent Neural Networks
Lingpeng Kong
Chris Dyer
Noah A. Smith
9
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
35
260
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
6
175
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
21
302
0
31 Oct 2015
Batch Normalized Recurrent Neural Networks
Batch Normalized Recurrent Neural Networks
César Laurent
Gabriel Pereyra
Philemon Brakel
Wenjie Qu
Yoshua Bengio
32
213
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
18
255
0
16 Sep 2015
Deep Convolutional Neural Networks for Smile Recognition
Deep Convolutional Neural Networks for Smile Recognition
P. Glauner
CVBM
22
38
0
26 Aug 2015
StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity
StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity
M. Shafiee
P. Siva
A. Wong
18
29
0
22 Aug 2015
End-to-End Attention-based Large Vocabulary Speech Recognition
End-to-End Attention-based Large Vocabulary Speech Recognition
Dzmitry Bahdanau
J. Chorowski
Dmitriy Serdyuk
Philemon Brakel
Yoshua Bengio
17
1,146
0
18 Aug 2015
Listen, Attend and Spell
Listen, Attend and Spell
William Chan
Navdeep Jaitly
Quoc V. Le
Oriol Vinyals
RALM
71
2,251
0
05 Aug 2015
EESEN: End-to-End Speech Recognition using Deep RNN Models and
  WFST-based Decoding
EESEN: End-to-End Speech Recognition using Deep RNN Models and WFST-based Decoding
Yajie Miao
M. Gowayyed
Florian Metze
39
753
0
29 Jul 2015
Learning Boolean functions with concentrated spectra
Learning Boolean functions with concentrated spectra
D. Mixon
Jesse Peterson
25
2
0
15 Jul 2015
Achieving Synergy in Cognitive Behavior of Humanoids via Deep Learning
  of Dynamic Visuo-Motor-Attentional Coordination
Achieving Synergy in Cognitive Behavior of Humanoids via Deep Learning of Dynamic Visuo-Motor-Attentional Coordination
Jungsik Hwang
Minju Jung
Naveen Madapana
Jinhyun Kim
Minkyu Choi
Jun Tani
16
8
0
09 Jul 2015
Describing Multimedia Content using Attention-based Encoder--Decoder
  Networks
Describing Multimedia Content using Attention-based Encoder--Decoder Networks
Kyunghyun Cho
Aaron Courville
Yoshua Bengio
32
411
0
04 Jul 2015
Attention-Based Models for Speech Recognition
Attention-Based Models for Speech Recognition
J. Chorowski
Dzmitry Bahdanau
Dmitriy Serdyuk
Kyunghyun Cho
Yoshua Bengio
41
2,598
0
24 Jun 2015
Understanding Neural Networks Through Deep Visualization
Understanding Neural Networks Through Deep Visualization
J. Yosinski
Jeff Clune
Anh Totti Nguyen
Thomas J. Fuchs
Hod Lipson
FAtt
AI4CE
44
1,864
0
22 Jun 2015
Visual Learning of Arithmetic Operations
Visual Learning of Arithmetic Operations
Yedid Hoshen
Shmuel Peleg
MU
29
22
0
07 Jun 2015
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for
  Gesture Recognition in Video
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video
Lionel Pigou
Aaron van den Oord
Sander Dieleman
Mieke Van Herreweghe
J. Dambre
27
254
0
05 Jun 2015
Learning with hidden variables
Learning with hidden variables
Y. Roudi
Graham Taylor
42
16
0
01 Jun 2015
The IBM 2015 English Conversational Telephone Speech Recognition System
The IBM 2015 English Conversational Telephone Speech Recognition System
G. Saon
H. Kuo
Steven J. Rennie
M. Picheny
22
129
0
21 May 2015
Who Spoke What? A Latent Variable Framework for the Joint Decoding of
  Multiple Speakers and their Keywords
Who Spoke What? A Latent Variable Framework for the Joint Decoding of Multiple Speakers and their Keywords
S. Harshavardhan
T. Sreenivas
23
0
0
29 Apr 2015
Transferring Knowledge from a RNN to a DNN
Transferring Knowledge from a RNN to a DNN
William Chan
Nan Rosemary Ke
Ian Lane
21
75
0
07 Apr 2015
Deep Recurrent Neural Networks for Acoustic Modelling
Deep Recurrent Neural Networks for Acoustic Modelling
William Chan
Ian Lane
21
44
0
07 Apr 2015
A Probabilistic Theory of Deep Learning
A Probabilistic Theory of Deep Learning
Ankit B. Patel
M. T. Nguyen
Richard G. Baraniuk
BDL
OOD
UQCV
40
88
0
02 Apr 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural
  Networks
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks
José Miguel Hernández-Lobato
Ryan P. Adams
UQCV
BDL
43
937
0
18 Feb 2015
Temporal Embedding in Convolutional Neural Networks for Robust Learning
  of Abstract Snippets
Temporal Embedding in Convolutional Neural Networks for Robust Learning of Abstract Snippets
Jiajun Liu
Kun Zhao
Branislav Kusy
Jae-Gil Lee
Raja Jurdak
AI4TS
24
58
0
18 Feb 2015
Deep Image: Scaling up Image Recognition
Ren Wu
Shengen Yan
Yi Shan
Qingqing Dang
Gang Sun
VLM
41
373
0
13 Jan 2015
Learning Activation Functions to Improve Deep Neural Networks
Learning Activation Functions to Improve Deep Neural Networks
Forest Agostinelli
Matthew Hoffman
Peter Sadowski
Pierre Baldi
ODL
50
472
0
21 Dec 2014
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
266
7,638
0
03 Jul 2012
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