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. 1904.03814
  4. Cited By
Temporal Convolution for Real-time Keyword Spotting on Mobile Devices

Temporal Convolution for Real-time Keyword Spotting on Mobile Devices

8 April 2019
Seungwoo Choi
Seokjun Seo
Beomjun Shin
Hyeongmin Byun
Martin Kersner
Beomsu Kim
Dongyoung Kim
S. Ha
ArXivPDFHTML

Papers citing "Temporal Convolution for Real-time Keyword Spotting on Mobile Devices"

14 / 14 papers shown
Title
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
39
145
0
27 Aug 2018
Fast Spectrogram Inversion using Multi-head Convolutional Neural
  Networks
Fast Spectrogram Inversion using Multi-head Convolutional Neural Networks
Sercan O. Arik
Heewoo Jun
G. Diamos
43
108
0
20 Aug 2018
MnasNet: Platform-Aware Neural Architecture Search for Mobile
MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan
Bo Chen
Ruoming Pang
Vijay Vasudevan
Mark Sandler
Andrew G. Howard
Quoc V. Le
MQ
117
3,009
0
31 Jul 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
  Design
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma
Xiangyu Zhang
Haitao Zheng
Jian Sun
168
4,983
0
30 Jul 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
173
19,262
0
13 Jan 2018
Hello Edge: Keyword Spotting on Microcontrollers
Hello Edge: Keyword Spotting on Microcontrollers
Yundong Zhang
Naveen Suda
Liangzhen Lai
Vikas Chandra
72
435
0
20 Nov 2017
Deep Residual Learning for Small-Footprint Keyword Spotting
Deep Residual Learning for Small-Footprint Keyword Spotting
Raphael Tang
Jimmy J. Lin
57
236
0
28 Oct 2017
Small-footprint Keyword Spotting Using Deep Neural Network and
  Connectionist Temporal Classifier
Small-footprint Keyword Spotting Using Deep Neural Network and Connectionist Temporal Classifier
Zhiming Wang
Xiaolong Li
Jun Zhou
38
27
0
12 Sep 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
1.1K
20,832
0
17 Apr 2017
Convolutional Recurrent Neural Networks for Small-Footprint Keyword
  Spotting
Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting
Sercan O. Arik
Markus Kliegl
R. Child
Joel Hestness
Andrew Gibiansky
Christopher Fougner
R. Prenger
Adam Coates
65
181
0
15 Mar 2017
Convolutional Recurrent Neural Networks for Music Classification
Convolutional Recurrent Neural Networks for Music Classification
Keunwoo Choi
Gyorgy Fazekas
Mark Sandler
Kyunghyun Cho
396
476
0
14 Sep 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
429
18,346
0
27 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,814
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
448
43,277
0
11 Feb 2015
1