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Hello Edge: Keyword Spotting on Microcontrollers
v1v2v3 (latest)

Hello Edge: Keyword Spotting on Microcontrollers

20 November 2017
Yundong Zhang
Naveen Suda
Liangzhen Lai
Vikas Chandra
ArXiv (abs)PDFHTML

Papers citing "Hello Edge: Keyword Spotting on Microcontrollers"

23 / 173 papers shown
Title
Memory- and Communication-Aware Model Compression for Distributed Deep
  Learning Inference on IoT
Memory- and Communication-Aware Model Compression for Distributed Deep Learning Inference on IoTACM Transactions on Embedded Computing Systems (ACM TECS), 2019
Kartikeya Bhardwaj
Chingyi Lin
A. L. Sartor
R. Marculescu
GNN
188
57
0
26 Jul 2019
Multi-layer Attention Mechanism for Speech Keyword Recognition
Multi-layer Attention Mechanism for Speech Keyword Recognition
Ruisen Luo
Tianran Sun
Chen Wang
Miao Du
Zuodong Tang
Kai Zhou
Xiaofeng Gong
Xiaomei Yang
85
3
0
10 Jul 2019
Visual Wake Words Dataset
Visual Wake Words Dataset
Aakanksha Chowdhery
Pete Warden
Jonathon Shlens
Andrew G. Howard
Rocky Rhodes
VLM
160
114
0
12 Jun 2019
Run-Time Efficient RNN Compression for Inference on Edge Devices
Run-Time Efficient RNN Compression for Inference on Edge Devices
Urmish Thakker
Jesse G. Beu
Dibakar Gope
Ganesh S. Dasika
Matthew Mattina
240
21
0
12 Jun 2019
Compressing RNNs for IoT devices by 15-38x using Kronecker Products
Compressing RNNs for IoT devices by 15-38x using Kronecker Products
Urmish Thakker
Jesse G. Beu
Dibakar Gope
Chu Zhou
Igor Fedorov
Ganesh S. Dasika
Matthew Mattina
322
36
0
07 Jun 2019
Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network
  Inference On Microcontrollers
Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On MicrocontrollersConference on Machine Learning and Systems (MLSys), 2019
Manuele Rusci
Alessandro Capotondi
Luca Benini
MQ
221
86
0
30 May 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
187
171
0
08 Apr 2019
Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT
  Applications
Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT ApplicationsUSENIX workshop on Tackling computer systems problems with machine learning techniques (SysML), 2019
Dibakar Gope
Ganesh S. Dasika
Matthew Mattina
138
24
0
04 Mar 2019
Gradient Scheduling with Global Momentum for Non-IID Data Distributed Asynchronous Training
Chengjie Li
Ruixuan Li
Yining Qi
Yuhua Li
Pan Zhou
Song Guo
Keqin Li
239
17
0
21 Feb 2019
Bonseyes AI Pipeline -- bringing AI to you. End-to-end integration of
  data, algorithms and deployment tools
Bonseyes AI Pipeline -- bringing AI to you. End-to-end integration of data, algorithms and deployment tools
Miguel de Prado
Jing Su
Rabia Saeed
Lorenzo Keller
Noelia Vállez
...
Luca Benini
Tim Llewellynn
Nabil Ouerhani
Rozenn Dahyot
Nuria Pazos
137
23
0
15 Jan 2019
An Investigation of Few-Shot Learning in Spoken Term Classification
An Investigation of Few-Shot Learning in Spoken Term Classification
Yangbin Chen
Tom Ko
Lifeng Shang
Xiao Chen
Xin Jiang
Qing Li
145
7
0
26 Dec 2018
Efficient keyword spotting using dilated convolutions and gating
Efficient keyword spotting using dilated convolutions and gatingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018
A. Coucke
M. Chlieh
Thibault Gisselbrecht
David Leroy
Mathieu Poumeyrol
Thibaut Lavril
248
106
0
19 Nov 2018
Stochastic Adaptive Neural Architecture Search for Keyword Spotting
Stochastic Adaptive Neural Architecture Search for Keyword SpottingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018
Tom Véniat
Olivier Schwander
Ludovic Denoyer
AI4TS
120
27
0
16 Nov 2018
JavaScript Convolutional Neural Networks for Keyword Spotting in the
  Browser: An Experimental Analysis
JavaScript Convolutional Neural Networks for Keyword Spotting in the Browser: An Experimental Analysis
Jaejun Lee
Raphael Tang
Jimmy J. Lin
103
2
0
30 Oct 2018
Event-triggered Natural Hazard Monitoring with Convolutional Neural
  Networks on the Edge
Event-triggered Natural Hazard Monitoring with Convolutional Neural Networks on the Edge
Matthias Meyer
Timo Farei-Campagna
Akos Pasztor
Reto Da Forno
Tonio Gsell
Jérome Faillettaz
Andreas Vieli
S. Weber
J. Beutel
Lothar Thiele
168
34
0
22 Oct 2018
Federated Learning for Keyword Spotting
Federated Learning for Keyword Spotting
David Leroy
A. Coucke
Thibaut Lavril
Thibault Gisselbrecht
Joseph Dureau
FedML
329
304
0
09 Oct 2018
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
99
153
0
27 Aug 2018
Efficient keyword spotting using time delay neural networks
Efficient keyword spotting using time delay neural networks
Samuel Myer
Vikrant Singh Tomar
107
40
0
11 Jul 2018
Rethinking Machine Learning Development and Deployment for Edge Devices
Rethinking Machine Learning Development and Deployment for Edge Devices
Liangzhen Lai
Naveen Suda
105
11
0
20 Jun 2018
Resource-Efficient Neural Architect
Resource-Efficient Neural Architect
Yanqi Zhou
S. Ebrahimi
Sercan O. Arik
Haonan Yu
Hairong Liu
G. Diamos
169
64
0
12 Jun 2018
Federated Learning with Non-IID Data
Federated Learning with Non-IID Data
Yue Zhao
Meng Li
Liangzhen Lai
Naveen Suda
Damon Civin
Vikas Chandra
FedML
508
2,977
0
02 Jun 2018
CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs
CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs
Liangzhen Lai
Naveen Suda
Vikas Chandra
184
423
0
19 Jan 2018
Not All Ops Are Created Equal!
Not All Ops Are Created Equal!
Liangzhen Lai
Naveen Suda
Vikas Chandra
109
26
0
12 Jan 2018
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