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1512.02595
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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
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Papers citing
"Deep Speech 2: End-to-End Speech Recognition in English and Mandarin"
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Title
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Gated Recurrent Unit Based Acoustic Modeling with Future Context
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Yuanyuan Zhao
Yan Li
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TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptation
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Vincent Nguyen
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342
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Adaptive Selection of Deep Learning Models on Embedded Systems
Ben Taylor
Vicent Sanz Marco
W. Wolff
Yehia El-khatib
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A comparable study of modeling units for end-to-end Mandarin speech recognition
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OFF-ApexNet on Micro-expression Recognition System
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Y. Gan
Wei‐Chuen Yau
Yen-Chang Huang
T. Ken
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A Unified Framework of Deep Neural Networks by Capsules
Yujian Li
Chuanhui Shan
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Improved training of end-to-end attention models for speech recognition
Albert Zeyer
Kazuki Irie
Ralf Schluter
Hermann Ney
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Understanding Reuse, Performance, and Hardware Cost of DNN Dataflows: A Data-Centric Approach Using MAESTRO
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Prasanth Chatarasi
Michael Pellauer
A. Parashar
Vivek Sarkar
T. Krishna
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04 May 2018
Intracranial Error Detection via Deep Learning
M. Völker
Jiří Hammer
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Joos Behncke
L. Fiederer
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Petr Marusič
Wolfram Burgard
T. Ball
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Staircase Network: structural language identification via hierarchical attentive units
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Ville Hautamaki
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Automatic Documentation of ICD Codes with Far-Field Speech Recognition
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Corinna Fukushima
11
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Feiwen Zhu
Jeff Pool
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26 Apr 2018
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Thomas Roxlo
M. Reece
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24 Apr 2018
ESPnet: End-to-End Speech Processing Toolkit
Shinji Watanabe
Takaaki Hori
Shigeki Karita
Tomoki Hayashi
Jiro Nishitoba
...
Jahn Heymann
Matthew Wiesner
Nanxin Chen
Adithya Renduchintala
Tsubasa Ochiai
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Reusing Neural Speech Representations for Auditory Emotion Recognition
Egor Lakomkin
C. Weber
S. Magg
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30 Mar 2018
TBD: Benchmarking and Analyzing Deep Neural Network Training
Hongyu Zhu
Mohamed Akrout
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Andrew Pelegris
Amar Phanishayee
Bianca Schroeder
Gennady Pekhimenko
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16 Mar 2018
Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs
Xuhao Chen
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28 Feb 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis
Tal Ben-Nun
Torsten Hoefler
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26 Feb 2018
CNN+LSTM Architecture for Speech Emotion Recognition with Data Augmentation
Caroline Etienne
Guillaume Fidanza
Andrei Petrovskii
Laurence Devillers
B. Schmauch
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Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks
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DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction
Brandon Ballinger
Johnson Hsieh
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Jack Wang
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G. Marcus
Jose M. Sanchez
Carol Maguire
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HAI
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07 Feb 2018
Exploring Architectures, Data and Units For Streaming End-to-End Speech Recognition with RNN-Transducer
Kanishka Rao
Hasim Sak
Rohit Prabhavalkar
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02 Jan 2018
Did you hear that? Adversarial Examples Against Automatic Speech Recognition
M. Alzantot
Bharathan Balaji
Mani B. Srivastava
AAML
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02 Jan 2018
NSML: A Machine Learning Platform That Enables You to Focus on Your Models
Nako Sung
Minkyu Kim
Hyunwoo Jo
Youngil Yang
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...
Youngkwan Kim
Gayoung Lee
Donghyun Kwak
Jung-Woo Ha
Sunghun Kim
38
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16 Dec 2017
No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models
Tara N. Sainath
Rohit Prabhavalkar
Shankar Kumar
Seungjin Lee
Anjuli Kannan
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Patrick Nguyen
Bo-wen Li
Yonghui Wu
Z. Chen
Chung-Cheng Chiu
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Deep Learning Scaling is Predictable, Empirically
Joel Hestness
Sharan Narang
Newsha Ardalani
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Yanqi Zhou
45
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01 Dec 2017
Exploiting Nontrivial Connectivity for Automatic Speech Recognition
Marius Paraschiv
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33
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28 Nov 2017
Dynamic Analysis of Executables to Detect and Characterize Malware
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J. Ingram
Christopher C. Lamb
T. Draelos
J. Doak
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10 Nov 2017
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
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Trace norm regularization and faster inference for embedded speech recognition RNNs
Markus Kliegl
Siddharth Goyal
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Kavya Srinet
M. Shoeybi
38
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Mixed Precision Training
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Hao Wu
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Philemon Brakel
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Learning Intrinsic Sparse Structures within Long Short-Term Memory
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Scaling Deep Learning on GPU and Knights Landing clusters
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Exploring Neural Transducers for End-to-End Speech Recognition
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Anuroop Sriram
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AI4TS
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24 Jul 2017
Dual Supervised Learning
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VAIN: Attentional Multi-agent Predictive Modeling
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Train longer, generalize better: closing the generalization gap in large batch training of neural networks
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Compressing Recurrent Neural Network with Tensor Train
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S. Sakti
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Reducing Bias in Production Speech Models
Eric Battenberg
R. Child
Adam Coates
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Vinay Rao
S. Satheesh
David Seetapun
Anuroop Sriram
Zhenyao Zhu
38
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11 May 2017
Deep Speaker: an End-to-End Neural Speaker Embedding System
Chao Li
Xiaokong Ma
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Xuewei Zhang
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Ying Cao
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Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks
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Multi-Scale Dense Networks for Resource Efficient Image Classification
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Felix Wu
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Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting
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180
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Multichannel End-to-end Speech Recognition
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Shinji Watanabe
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J. Hershey
19
92
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14 Mar 2017
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