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Broadcasted Residual Learning for Efficient Keyword Spotting
v1v2v3v4 (latest)

Broadcasted Residual Learning for Efficient Keyword Spotting

8 June 2021
Byeonggeun Kim
Simyung Chang
Jinkyu Lee
Dooyong Sung
ArXiv (abs)PDFHTMLGithub (62★)

Papers citing "Broadcasted Residual Learning for Efficient Keyword Spotting"

26 / 26 papers shown
Title
SubSpectral Normalization for Neural Audio Data Processing
SubSpectral Normalization for Neural Audio Data Processing
Simyung Chang
Hyoungwoo Park
Janghoon Cho
Hyunsin Park
Sungrack Yun
Kyuwoong Hwang
56
31
0
25 Mar 2021
Small-Footprint Keyword Spotting with Multi-Scale Temporal Convolution
Small-Footprint Keyword Spotting with Multi-Scale Temporal Convolution
Ximin Li
Xiaodong Wei
Xiaowei Qin
89
38
0
20 Oct 2020
Streaming keyword spotting on mobile devices
Streaming keyword spotting on mobile devices
Oleg Rybakov
Natasha Kononenko
Niranjan A. Subrahmanya
Mirkó Visontai
Stella Laurenzo
AI4TS
101
112
0
14 May 2020
Depthwise Separable Convolutional ResNet with Squeeze-and-Excitation
  Blocks for Small-footprint Keyword Spotting
Depthwise Separable Convolutional ResNet with Squeeze-and-Excitation Blocks for Small-footprint Keyword Spotting
Menglong Xu
Xiao-Lei Zhang
30
33
0
25 Apr 2020
Training Keyword Spotters with Limited and Synthesized Speech Data
Training Keyword Spotters with Limited and Synthesized Speech Data
James Lin
Kevin Kilgour
Dominik Roblek
Matthew Sharifi
59
58
0
31 Jan 2020
Query-by-example on-device keyword spotting
Query-by-example on-device keyword spotting
Byeonggeun Kim
Mingu Lee
Jinkyu Lee
Yeonseok Kim
Kyuwoong Hwang
59
43
0
11 Oct 2019
Orthogonality Constrained Multi-Head Attention For Keyword Spotting
Orthogonality Constrained Multi-Head Attention For Keyword Spotting
Mingu Lee
Jinkyu Lee
Hye Jin Jang
Byeonggeun Kim
Wonil Chang
Kyuwoong Hwang
33
11
0
10 Oct 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
142
18,134
0
28 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
3,461
0
18 Apr 2019
Temporal Convolution for Real-time Keyword Spotting on Mobile Devices
Temporal Convolution for Real-time Keyword Spotting on Mobile Devices
Seungwoo Choi
Seokjun Seo
Beomjun Shin
Hyeongmin Byun
Martin Kersner
Beomsu Kim
Dongyoung Kim
S. Ha
95
154
0
08 Apr 2019
URNet : User-Resizable Residual Networks with Conditional Gating Module
URNet : User-Resizable Residual Networks with Conditional Gating Module
Sang-ho Lee
Simyung Chang
Nojun Kwak
41
11
0
15 Jan 2019
A neural attention model for speech command recognition
A neural attention model for speech command recognition
Douglas Coimbra de Andrade
Sabato Leo
M. Viana
Christoph Bernkopf
45
145
0
27 Aug 2018
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Pete Warden
86
1,626
0
09 Apr 2018
Regularized Evolution for Image Classifier Architecture Search
Regularized Evolution for Image Classifier Architecture Search
Esteban Real
A. Aggarwal
Yanping Huang
Quoc V. Le
160
3,031
0
05 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
184
19,316
0
13 Jan 2018
Broadcasting Convolutional Network for Visual Relational Reasoning
Broadcasting Convolutional Network for Visual Relational Reasoning
Simyung Chang
John Yang
Seonguk Park
Nojun Kwak
44
19
0
07 Dec 2017
Deep Residual Learning for Small-Footprint Keyword Spotting
Deep Residual Learning for Small-Footprint Keyword Spotting
Raphael Tang
Jimmy J. Lin
69
236
0
28 Oct 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
424
26,500
0
05 Sep 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
177
5,605
0
21 Jul 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for
  Mobile Devices
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
AI4TS
141
6,872
0
04 Jul 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal
Piotr Dollár
Ross B. Girshick
P. Noordhuis
Lukasz Wesolowski
Aapo Kyrola
Andrew Tulloch
Yangqing Jia
Kaiming He
3DH
128
3,681
0
08 Jun 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.2K
20,858
0
17 Apr 2017
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDEBDLPINN
1.4K
14,575
0
07 Oct 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
333
8,130
0
13 Aug 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 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
43,305
0
11 Feb 2015
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