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Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

8 December 2015
Dario Amodei
Rishita Anubhai
Eric Battenberg
Carl Case
Jared Casper
Bryan Catanzaro
Jingdong Chen
Mike Chrzanowski
Adam Coates
G. Diamos
Erich Elsen
Jesse Engel
Linxi Fan
Christopher Fougner
T. Han
Awni Y. Hannun
Billy Jun
P. LeGresley
Libby Lin
Sharan Narang
A. Ng
Sherjil Ozair
R. Prenger
Jonathan Raiman
S. Satheesh
David Seetapun
Shubho Sengupta
Yi Wang
Zhiqian Wang
Chong-Jun Wang
Bo Xiao
Dani Yogatama
J. Zhan
Zhenyao Zhu
ArXiv (abs)PDFHTML

Papers citing "Deep Speech 2: End-to-End Speech Recognition in English and Mandarin"

50 / 1,096 papers shown
Emotion Dependent Facial Animation from Affective Speech
Emotion Dependent Facial Animation from Affective SpeechIEEE International Workshop on Multimedia Signal Processing (MMSP), 2019
Rizwan Sadiq
Sasan Asadiabadi
E. Erzin
CVBM
45
0
0
11 Aug 2019
Two-stage Training for Chinese Dialect Recognition
Two-stage Training for Chinese Dialect RecognitionInterspeech (Interspeech), 2019
Zongze Ren
Guofu Yang
Shugong Xu
169
23
0
06 Aug 2019
Edge AIBench: Towards Comprehensive End-to-end Edge Computing
  Benchmarking
Edge AIBench: Towards Comprehensive End-to-end Edge Computing BenchmarkingBenchCouncil International Symposium (ISB), 2018
Tianshu Hao
Yunyou Huang
Xu Wen
Wanling Gao
Fan Zhang
...
Lei Wang
Hainan Ye
K. Hwang
Zujie Ren
Jianfeng Zhan
164
72
0
06 Aug 2019
Nonparametric Regression on Low-Dimensional Manifolds using Deep ReLU
  Networks : Function Approximation and Statistical Recovery
Nonparametric Regression on Low-Dimensional Manifolds using Deep ReLU Networks : Function Approximation and Statistical Recovery
Minshuo Chen
Haoming Jiang
Wenjing Liao
T. Zhao
638
101
0
05 Aug 2019
SF-Net: Structured Feature Network for Continuous Sign Language
  Recognition
SF-Net: Structured Feature Network for Continuous Sign Language Recognition
Zhaoyang Yang
Zhenmei Shi
Xiaoyong Shen
Yu-Wing Tai
SLR
123
71
0
04 Aug 2019
SANTLR: Speech Annotation Toolkit for Low Resource Languages
SANTLR: Speech Annotation Toolkit for Low Resource LanguagesInterspeech (Interspeech), 2019
Xinjian Li
Zhong Zhou
Siddharth Dalmia
A. Black
Florian Metze
98
7
0
02 Aug 2019
Multilingual Speech Recognition with Corpus Relatedness Sampling
Multilingual Speech Recognition with Corpus Relatedness SamplingInterspeech (Interspeech), 2019
Xinjian Li
Siddharth Dalmia
A. Black
Florian Metze
141
17
0
02 Aug 2019
Benchmarking TPU, GPU, and CPU Platforms for Deep Learning
Benchmarking TPU, GPU, and CPU Platforms for Deep Learning
Y. Wang
Gu-Yeon Wei
David Brooks
ELMVLM
289
304
0
24 Jul 2019
Recurrent Neural Networks: An Embedded Computing Perspective
Recurrent Neural Networks: An Embedded Computing PerspectiveIEEE Access (IEEE Access), 2019
Nesma M. Rezk
M. Purnaprajna
Tomas Nordstrom
Z. Ul-Abdin
355
95
0
23 Jul 2019
Latent Adversarial Defence with Boundary-guided Generation
Latent Adversarial Defence with Boundary-guided Generation
Xiaowei Zhou
Ivor W. Tsang
Jie Yin
AAML
134
5
0
16 Jul 2019
A Highly Efficient Distributed Deep Learning System For Automatic Speech
  Recognition
A Highly Efficient Distributed Deep Learning System For Automatic Speech RecognitionInterspeech (Interspeech), 2019
Wei Zhang
Xiaodong Cui
Ulrich Finkler
G. Saon
Abdullah Kayi
A. Buyuktosunoglu
Brian Kingsbury
David S. Kung
M. Picheny
119
19
0
10 Jul 2019
M3D-GAN: Multi-Modal Multi-Domain Translation with Universal Attention
M3D-GAN: Multi-Modal Multi-Domain Translation with Universal Attention
Shuang Ma
Daniel J. McDuff
Yale Song
141
4
0
09 Jul 2019
Transfer Learning from Audio-Visual Grounding to Speech Recognition
Transfer Learning from Audio-Visual Grounding to Speech RecognitionInterspeech (Interspeech), 2019
Wei-Ning Hsu
David Harwath
James R. Glass
SSL
113
33
0
09 Jul 2019
Analyzing Phonetic and Graphemic Representations in End-to-End Automatic
  Speech Recognition
Analyzing Phonetic and Graphemic Representations in End-to-End Automatic Speech RecognitionInterspeech (Interspeech), 2019
Yonatan Belinkov
Ahmed M. Ali
James R. Glass
213
41
0
09 Jul 2019
EPNAS: Efficient Progressive Neural Architecture Search
EPNAS: Efficient Progressive Neural Architecture SearchBritish Machine Vision Conference (BMVC), 2019
Yanqi Zhou
Peng Wang
Sercan O. Arik
Haonan Yu
Syed Zawad
Feng Yan
G. Diamos
125
5
0
07 Jul 2019
Deep Residual Neural Networks for Audio Spoofing DetectionInterspeech (Interspeech), 2019
M. Alzantot
Ziqi Wang
Mani B. Srivastava
164
188
0
30 Jun 2019
4K-Memristor Analog-Grade Passive Crossbar Circuit
4K-Memristor Analog-Grade Passive Crossbar CircuitNature Communications (Nat Commun), 2019
Hyungjin Kim
H. Nili
Mahmood Mahmoodi
D. Strukov
106
202
0
27 Jun 2019
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency
  Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance TiersIEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2019
Matthew Halpern
Behzad Boroujerdian
Todd W. Mummert
Evelyn Duesterwald
Vijay Janapa Reddi
133
26
0
26 Jun 2019
Auxiliary Interference Speaker Loss for Target-Speaker Speech
  Recognition
Auxiliary Interference Speaker Loss for Target-Speaker Speech RecognitionInterspeech (Interspeech), 2019
Naoyuki Kanda
Shota Horiguchi
R. Takashima
Yusuke Fujita
Kenji Nagamatsu
Shinji Watanabe
163
36
0
26 Jun 2019
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNsComputer Vision and Pattern Recognition (CVPR), 2019
Soheil Kolouri
Aniruddha Saha
Hamed Pirsiavash
Heiko Hoffmann
AAML
269
252
0
26 Jun 2019
The Coming Age of Pervasive Data Processing
The Coming Age of Pervasive Data ProcessingInternational Symposium on Parallel and Distributed Computing (ISPDC), 2019
Jan S. Rellermeyer
Sobhan Omranian Khorasani
D. Graur
Apourva Parthasarathy
187
6
0
21 Jun 2019
Theory of the Frequency Principle for General Deep Neural Networks
Theory of the Frequency Principle for General Deep Neural NetworksCSIAM Transactions on Applied Mathematics (TCAM), 2019
Yaoyu Zhang
Zheng Ma
Zhi-Qin John Xu
Yaoyu Zhang
200
92
0
21 Jun 2019
Unsupervised Phoneme and Word Discovery from Multiple Speakers using
  Double Articulation Analyzer and Neural Network with Parametric Bias
Unsupervised Phoneme and Word Discovery from Multiple Speakers using Double Articulation Analyzer and Neural Network with Parametric BiasFrontiers in Robotics and AI (Front. Robot. AI), 2019
Ryo Nakashima
Ryo Ozaki
T. Taniguchi
157
6
0
21 Jun 2019
Unsupervised State Representation Learning in Atari
Unsupervised State Representation Learning in AtariNeural Information Processing Systems (NeurIPS), 2019
Ankesh Anand
Evan Racah
Sherjil Ozair
Yoshua Bengio
Marc-Alexandre Côté
R. Devon Hjelm
SSL
511
269
0
19 Jun 2019
Joint Regularization on Activations and Weights for Efficient Neural
  Network Pruning
Joint Regularization on Activations and Weights for Efficient Neural Network Pruning
Q. Yang
W. Wen
Zuoguan Wang
Xue Yang
107
1
0
19 Jun 2019
Curriculum-based transfer learning for an effective end-to-end spoken
  language understanding and domain portability
Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portabilityInterspeech (Interspeech), 2019
Antoine Caubrière
N. Tomashenko
Antoine Laurent
Emmanuel Morin
Nathalie Camelin
Yannick Esteve
124
58
0
18 Jun 2019
Speech Recognition With No Speech Or With Noisy Speech Beyond English
Speech Recognition With No Speech Or With Noisy Speech Beyond English
G. Krishna
Co Tran
Yan Han
Mason Carnahan
Ahmed H. Tewfik
137
3
0
17 Jun 2019
Focal Loss based Residual Convolutional Neural Network for Speech Emotion Recognition
Focal Loss based Residual Convolutional Neural Network for Speech Emotion Recognition
Suraj Tripathi
Abhay Kumar
A. Ramesh
Chirag Singh
Promod Yenigalla
199
14
0
11 Jun 2019
Word-level Speech Recognition with a Letter to Word Encoder
Word-level Speech Recognition with a Letter to Word Encoder
R. Collobert
Awni Y. Hannun
Gabriel Synnaeve
3DV
264
4
0
10 Jun 2019
Stochastic Mirror Descent on Overparameterized Nonlinear Models:
  Convergence, Implicit Regularization, and Generalization
Stochastic Mirror Descent on Overparameterized Nonlinear Models: Convergence, Implicit Regularization, and GeneralizationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Navid Azizan
Sahin Lale
B. Hassibi
281
78
0
10 Jun 2019
Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound
Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound
Zhao Song
Xin Yang
150
96
0
09 Jun 2019
The Architectural Implications of Facebook's DNN-based Personalized
  Recommendation
The Architectural Implications of Facebook's DNN-based Personalized RecommendationInternational Symposium on High-Performance Computer Architecture (HPCA), 2019
Udit Gupta
Carole-Jean Wu
Xiaodong Wang
Maxim Naumov
Brandon Reagen
...
Andrey Malevich
Dheevatsa Mudigere
M. Smelyanskiy
Liang Xiong
Xuan Zhang
GNN
324
316
0
06 Jun 2019
Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm
  Evaluation
Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm EvaluationNeural Information Processing Systems (NeurIPS), 2019
Ruibo Tu
Kun Zhang
Bo Christer Bertilson
Hedvig Kjellström
Cheng Zhang
OODCML
327
48
0
04 Jun 2019
Accurate and Energy-Efficient Classification with Spiking Random Neural
  Network: Corrected and Expanded Version
Accurate and Energy-Efficient Classification with Spiking Random Neural Network: Corrected and Expanded Version
K. Hussain
Mohamed Yousef Bassyouni
E. Gelenbe
82
3
0
01 Jun 2019
Luck Matters: Understanding Training Dynamics of Deep ReLU Networks
Luck Matters: Understanding Training Dynamics of Deep ReLU Networks
Yuandong Tian
Tina Jiang
Qucheng Gong
Ari S. Morcos
305
27
0
31 May 2019
A Trainable Multiplication Layer for Auto-correlation and Co-occurrence
  Extraction
A Trainable Multiplication Layer for Auto-correlation and Co-occurrence ExtractionAsian Conference on Computer Vision (ACCV), 2018
Hideaki Hayashi
S. Uchida
81
3
0
30 May 2019
Reinforcement Learning and Adaptive Sampling for Optimized DNN
  Compilation
Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation
Byung Hoon Ahn
Prannoy Pilligundla
H. Esmaeilzadeh
145
22
0
30 May 2019
Rethinking Full Connectivity in Recurrent Neural Networks
Rethinking Full Connectivity in Recurrent Neural Networks
Matthijs Van Keirsbilck
A. Keller
Xiaodong Yang
LRM
133
16
0
29 May 2019
A Study of BFLOAT16 for Deep Learning Training
A Study of BFLOAT16 for Deep Learning Training
Dhiraj D. Kalamkar
Dheevatsa Mudigere
Naveen Mellempudi
Dipankar Das
K. Banerjee
...
Sudarshan Srinivasan
Abhisek Kundu
M. Smelyanskiy
Bharat Kaul
Pradeep Dubey
MQ
315
426
0
29 May 2019
Instant Quantization of Neural Networks using Monte Carlo Methods
Instant Quantization of Neural Networks using Monte Carlo Methods
Gonçalo Mordido
Matthijs Van Keirsbilck
A. Keller
MQ
161
9
0
29 May 2019
Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn
  University Joint Investigation for Dinner Party ASR
Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASRInterspeech (Interspeech), 2019
Naoyuki Kanda
Christoph Boeddeker
Jens Heitkaemper
Yusuke Fujita
Shota Horiguchi
Kenji Nagamatsu
Reinhold Häb-Umbach
193
62
0
29 May 2019
Harnessing Slow Dynamics in Neuromorphic Computation
Harnessing Slow Dynamics in Neuromorphic Computation
Tianlin Liu
115
0
0
28 May 2019
GAT: Generative Adversarial Training for Adversarial Example Detection
  and Robust Classification
GAT: Generative Adversarial Training for Adversarial Example Detection and Robust ClassificationInternational Conference on Learning Representations (ICLR), 2019
Xuwang Yin
Soheil Kolouri
Gustavo K. Rohde
AAML
237
47
0
27 May 2019
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient
  Neural Networks
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural NetworksIEEE Transactions on Emerging Topics in Computing (TETC), 2019
Xiaoliang Dai
Hongxu Yin
N. Jha
158
33
0
27 May 2019
Improved Optical Flow for Gesture-based Human-robot Interaction
Improved Optical Flow for Gesture-based Human-robot InteractionIEEE International Conference on Robotics and Automation (ICRA), 2019
Jen-Yen Chang
Antonio Tejero-de-Pablos
Tatsuya Harada
3DH
103
14
0
21 May 2019
Simple Black-box Adversarial Attacks
Simple Black-box Adversarial AttacksInternational Conference on Machine Learning (ICML), 2019
Chuan Guo
Jacob R. Gardner
Yurong You
A. Wilson
Kilian Q. Weinberger
AAML
345
658
0
17 May 2019
Online Normalization for Training Neural Networks
Online Normalization for Training Neural NetworksNeural Information Processing Systems (NeurIPS), 2019
Vitaliy Chiley
I. Sharapov
Atli Kosson
Urs Koster
R. Reece
S. D. L. Fuente
Vishal Subbiah
Michael James
OnRL
194
58
0
15 May 2019
Universal Adversarial Perturbations for Speech Recognition Systems
Universal Adversarial Perturbations for Speech Recognition SystemsInterspeech (Interspeech), 2019
Paarth Neekhara
Shehzeen Samarah Hussain
Prakhar Pandey
Shlomo Dubnov
Julian McAuley
F. Koushanfar
AAML
142
128
0
09 May 2019
A Hardware-Oriented and Memory-Efficient Method for CTC Decoding
A Hardware-Oriented and Memory-Efficient Method for CTC DecodingIEEE Access (IEEE Access), 2019
Siyuan Lu
Jinming Lu
Jun Lin
Zhongfeng Wang
107
6
0
08 May 2019
An Adaptive Remote Stochastic Gradient Method for Training Neural
  Networks
An Adaptive Remote Stochastic Gradient Method for Training Neural Networks
Yushu Chen
Hao Jing
Wenlai Zhao
Zhiqiang Liu
Haohuan Fu
Lián Qiao
Wei Xue
Guangwen Yang
ODL
508
2
0
04 May 2019
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