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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
ArXivPDFHTML

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

14 / 14 papers shown
Title
A Comprehensive Survey of Convolutions in Deep Learning: Applications,
  Challenges, and Future Trends
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi
Mohsen Ansari
Mohammadamin Fazli
A. Ejlali
Muhammad Shafique
Joerg Henkel
3DV
57
45
0
23 Feb 2024
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition
Sehoon Kim
A. Gholami
Albert Eaton Shaw
Nicholas Lee
K. Mangalam
Jitendra Malik
Michael W. Mahoney
Kurt Keutzer
32
99
0
02 Jun 2022
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network
  Accelerators
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators
Lois Orosa
Skanda Koppula
Yaman Umuroglu
Konstantinos Kanellopoulos
Juan Gómez Luna
Michaela Blott
K. Vissers
O. Mutlu
46
4
0
04 Feb 2022
The RoyalFlush System of Speech Recognition for M2MeT Challenge
The RoyalFlush System of Speech Recognition for M2MeT Challenge
Shuaishuai Ye
Peiyao Wang
Shunfei Chen
Xinhui Hu
Xinkang Xu
24
5
0
03 Feb 2022
Slow-Fast Auditory Streams For Audio Recognition
Slow-Fast Auditory Streams For Audio Recognition
Evangelos Kazakos
Arsha Nagrani
Andrew Zisserman
Dima Damen
24
66
0
05 Mar 2021
MARS: Mixed Virtual and Real Wearable Sensors for Human Activity
  Recognition with Multi-Domain Deep Learning Model
MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition with Multi-Domain Deep Learning Model
Ling Pei
Songpengcheng Xia
Lei Chu
Fanyi Xiao
Qi Wu
Wenxian Yu
Zixuan Zhang
37
30
0
20 Sep 2020
Deep MOS Predictor for Synthetic Speech Using Cluster-Based Modeling
Deep MOS Predictor for Synthetic Speech Using Cluster-Based Modeling
Yeunju Choi
Youngmoon Jung
Hoirin Kim
21
26
0
09 Aug 2020
Multistream CNN for Robust Acoustic Modeling
Multistream CNN for Robust Acoustic Modeling
Kyu Jeong Han
Jing Pan
Venkata Krishna Naveen Tadala
T. Ma
Daniel Povey
19
34
0
21 May 2020
BiQGEMM: Matrix Multiplication with Lookup Table For Binary-Coding-based
  Quantized DNNs
BiQGEMM: Matrix Multiplication with Lookup Table For Binary-Coding-based Quantized DNNs
Yongkweon Jeon
Baeseong Park
S. Kwon
Byeongwook Kim
Jeongin Yun
Dongsoo Lee
MQ
33
30
0
20 May 2020
Serialized Output Training for End-to-End Overlapped Speech Recognition
Serialized Output Training for End-to-End Overlapped Speech Recognition
Naoyuki Kanda
Yashesh Gaur
Xiaofei Wang
Zhong Meng
Takuya Yoshioka
19
113
0
28 Mar 2020
End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern
  Architectures
End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures
Gabriel Synnaeve
Qiantong Xu
Jacob Kahn
Tatiana Likhomanenko
Edouard Grave
Vineel Pratap
Anuroop Sriram
Vitaliy Liptchinsky
R. Collobert
SSL
AI4TS
36
246
0
19 Nov 2019
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
19
4
0
23 Oct 2019
Transformer-based Acoustic Modeling for Hybrid Speech Recognition
Transformer-based Acoustic Modeling for Hybrid Speech Recognition
Yongqiang Wang
Abdel-rahman Mohamed
Duc Le
Chunxi Liu
Alex Xiao
...
Xiaohui Zhang
Frank Zhang
Christian Fuegen
Geoffrey Zweig
M. Seltzer
16
248
0
22 Oct 2019
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
7,640
0
03 Jul 2012
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