ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1910.00716
  4. Cited By
State-of-the-Art Speech Recognition Using Multi-Stream Self-Attention
  With Dilated 1D Convolutions

State-of-the-Art Speech Recognition Using Multi-Stream Self-Attention With Dilated 1D Convolutions

1 October 2019
Kyu Jeong Han
R. Prieto
Kaixing(Kai) Wu
T. Ma
ArXiv (abs)PDFHTML

Papers citing "State-of-the-Art Speech Recognition Using Multi-Stream Self-Attention With Dilated 1D Convolutions"

20 / 20 papers shown
Title
A Transformer with Interleaved Self-attention and Convolution for Hybrid
  Acoustic Models
A Transformer with Interleaved Self-attention and Convolution for Hybrid Acoustic Models
Liang Lu
79
4
0
23 Oct 2019
A Comparative Study on Transformer vs RNN in Speech Applications
A Comparative Study on Transformer vs RNN in Speech Applications
Shigeki Karita
Nanxin Chen
Tomoki Hayashi
Takaaki Hori
Hirofumi Inaguma
...
Ryuichi Yamamoto
Xiao-fei Wang
Shinji Watanabe
Takenori Yoshimura
Wangyou Zhang
74
721
0
13 Sep 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang
Zihang Dai
Yiming Yang
J. Carbonell
Ruslan Salakhutdinov
Quoc V. Le
AI4CE
234
8,444
0
19 Jun 2019
RWTH ASR Systems for LibriSpeech: Hybrid vs Attention -- w/o Data
  Augmentation
RWTH ASR Systems for LibriSpeech: Hybrid vs Attention -- w/o Data Augmentation
Christoph Luscher
Eugen Beck
Kazuki Irie
M. Kitza
Wilfried Michel
Albert Zeyer
Ralf Schluter
Hermann Ney
VLM
129
234
0
08 May 2019
SpecAugment: A Simple Data Augmentation Method for Automatic Speech
  Recognition
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
Daniel S. Park
William Chan
Yu Zhang
Chung-Cheng Chiu
Barret Zoph
E. D. Cubuk
Quoc V. Le
VLM
177
3,465
0
18 Apr 2019
Sequence-to-Sequence Speech Recognition with Time-Depth Separable
  Convolutions
Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions
Awni Y. Hannun
Ann Lee
Qiantong Xu
R. Collobert
53
97
0
04 Apr 2019
Self-Attention Networks for Connectionist Temporal Classification in
  Speech Recognition
Self-Attention Networks for Connectionist Temporal Classification in Speech Recognition
Julian Salazar
Katrin Kirchhoff
Zhiheng Huang
AI4TS
53
118
0
22 Jan 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai
Zhilin Yang
Yiming Yang
J. Carbonell
Quoc V. Le
Ruslan Salakhutdinov
VLM
253
3,745
0
09 Jan 2019
A novel pyramidal-FSMN architecture with lattice-free MMI for speech
  recognition
A novel pyramidal-FSMN architecture with lattice-free MMI for speech recognition
Xuerui Yang
Jiwei Li
Xi Zhou
66
15
0
26 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,114
0
11 Oct 2018
Syllable-Based Sequence-to-Sequence Speech Recognition with the
  Transformer in Mandarin Chinese
Syllable-Based Sequence-to-Sequence Speech Recognition with the Transformer in Mandarin Chinese
Shiyu Zhou
Linhao Dong
Shuang Xu
Bo Xu
61
118
0
28 Apr 2018
The CAPIO 2017 Conversational Speech Recognition System
The CAPIO 2017 Conversational Speech Recognition System
Kyu Jeong Han
Akshay Chandrashekaran
Jungsuk Kim
Ian Lane
116
72
0
29 Dec 2017
State-of-the-art Speech Recognition With Sequence-to-Sequence Models
State-of-the-art Speech Recognition With Sequence-to-Sequence Models
Chung-Cheng Chiu
Tara N. Sainath
Yonghui Wu
Rohit Prabhavalkar
Patrick Nguyen
...
Katya Gonina
Navdeep Jaitly
Yue Liu
J. Chorowski
M. Bacchiani
AI4TS
93
1,154
0
05 Dec 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
728
132,199
0
12 Jun 2017
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
416
10,526
0
21 Jul 2016
On the Compression of Recurrent Neural Networks with an Application to
  LVCSR acoustic modeling for Embedded Speech Recognition
On the Compression of Recurrent Neural Networks with an Application to LVCSR acoustic modeling for Embedded Speech Recognition
Rohit Prabhavalkar
O. Alsharif
A. Bruguier
Ian McGraw
54
103
0
25 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Listen, Attend and Spell
Listen, Attend and Spell
William Chan
Navdeep Jaitly
Quoc V. Le
Oriol Vinyals
RALM
156
2,269
0
05 Aug 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,328
0
11 Feb 2015
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
457
7,666
0
03 Jul 2012
1