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A Transformer with Interleaved Self-attention and Convolution for Hybrid
  Acoustic Models

A Transformer with Interleaved Self-attention and Convolution for Hybrid Acoustic Models

23 October 2019
Liang Lu
ArXiv (abs)PDFHTML

Papers citing "A Transformer with Interleaved Self-attention and Convolution for Hybrid Acoustic Models"

13 / 13 papers shown
Title
Exploring Transformers for Large-Scale Speech Recognition
Exploring Transformers for Large-Scale Speech Recognition
Liang Lu
Changliang Liu
Jinyu Li
Jiawei Liu
235
44
0
19 May 2020
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 ConvolutionsAutomatic Speech Recognition & Understanding (ASRU), 2019
Kyu Jeong Han
R. Prieto
Kaixing(Kai) Wu
T. Ma
249
77
0
01 Oct 2019
Self-Attention Transducers for End-to-End Speech Recognition
Self-Attention Transducers for End-to-End Speech RecognitionInterspeech (Interspeech), 2019
Zhengkun Tian
Jiangyan Yi
Jianhua Tao
Ye Bai
Zhengqi Wen
AI4TS
144
75
0
28 Sep 2019
A Comparative Study on Transformer vs RNN in Speech Applications
A Comparative Study on Transformer vs RNN in Speech ApplicationsAutomatic Speech Recognition & Understanding (ASRU), 2019
Shigeki Karita
Nanxin Chen
Tomoki Hayashi
Takaaki Hori
Hirofumi Inaguma
...
Ryuichi Yamamoto
Xiao-fei Wang
Shinji Watanabe
Takenori Yoshimura
Wangyou Zhang
260
778
0
13 Sep 2019
PyKaldi2: Yet another speech toolkit based on Kaldi and PyTorch
PyKaldi2: Yet another speech toolkit based on Kaldi and PyTorch
Liang Lu
Xiong Xiao
Zhuo Chen
Jiawei Liu
175
14
0
12 Jul 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
239
123
0
22 Jan 2019
Self-Attentional Acoustic Models
Self-Attentional Acoustic Models
Matthias Sperber
Jan Niehues
Graham Neubig
Sebastian Stüker
A. Waibel
154
158
0
26 Mar 2018
Attention Is All You Need
Attention Is All You NeedNeural Information Processing Systems (NeurIPS), 2017
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
3.0K
159,909
0
12 Jun 2017
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP), 2015
Thang Luong
Hieu H. Pham
Christopher D. Manning
1.3K
8,249
0
17 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
415
2,373
0
05 Aug 2015
Attention-Based Models for Speech Recognition
Attention-Based Models for Speech Recognition
J. Chorowski
Dzmitry Bahdanau
Dmitriy Serdyuk
Dong Wang
Yoshua Bengio
346
2,708
0
24 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014
Diederik P. Kingma
Jimmy Ba
ODL
4.7K
160,974
0
22 Dec 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and TranslateInternational Conference on Learning Representations (ICLR), 2014
Dzmitry Bahdanau
Dong Wang
Yoshua Bengio
AIMat
1.5K
28,606
0
01 Sep 2014
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