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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"

50 / 173 papers shown
Title
Lightweight feature encoder for wake-up word detection based on
  self-supervised speech representation
Lightweight feature encoder for wake-up word detection based on self-supervised speech representationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Hyungjun Lim
Younggwan Kim
Ki-Woong Yeom
E. Seo
Hoodong Lee
Stanley Jungkyu Choi
Honglak Lee
175
4
0
14 Mar 2023
Walking Noise: On Layer-Specific Robustness of Neural Architectures
  against Noisy Computations and Associated Characteristic Learning Dynamics
Walking Noise: On Layer-Specific Robustness of Neural Architectures against Noisy Computations and Associated Characteristic Learning Dynamics
Hendrik Borras
Bernhard Klein
Holger Fröning
AAML
241
1
0
20 Dec 2022
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to
  Real-Network Performance
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network PerformanceIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Haotong Qin
Xudong Ma
Yifu Ding
Xiaochen Li
Yang Zhang
Zejun Ma
Jinyang Guo
Jie Luo
Xianglong Liu
MQ
224
36
0
13 Nov 2022
LiCo-Net: Linearized Convolution Network for Hardware-efficient Keyword
  Spotting
LiCo-Net: Linearized Convolution Network for Hardware-efficient Keyword Spotting
Haichuan Yang
Zhaojun Yang
Liting Wan
Biqiao Zhang
Yangyang Shi
...
R. Álvarez
Ming Sun
Xin Lei
Raghuraman Krishnamoorthi
Vikas Chandra
125
7
0
09 Nov 2022
Metric Learning for User-defined Keyword Spotting
Metric Learning for User-defined Keyword SpottingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Jaemin Jung
You-kyong. Kim
Jihwan Park
Youshin Lim
Byeong-Yeol Kim
Youngjoon Jang
Joon Son Chung
201
16
0
01 Nov 2022
HEiMDaL: Highly Efficient Method for Detection and Localization of
  wake-words
HEiMDaL: Highly Efficient Method for Detection and Localization of wake-wordsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Arnav Kundu
Mohammad Samragh Razlighi
Minsik Cho
Priyanka Padmanabhan
Devang Naik
112
3
0
26 Oct 2022
Taxonomic Classification of IoT Smart Home Voice Control
Taxonomic Classification of IoT Smart Home Voice Control
M. Hewitt
H. Cunningham
150
3
0
24 Oct 2022
Discriminatory and orthogonal feature learning for noise robust keyword
  spotting
Discriminatory and orthogonal feature learning for noise robust keyword spottingIEEE Signal Processing Letters (SPL), 2022
Donghyeon Kim
Kyungdeuk Ko
D. Han
Hanseok Ko
121
5
0
20 Oct 2022
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again
Asymmetric Temperature Scaling Makes Larger Networks Teach Well AgainNeural Information Processing Systems (NeurIPS), 2022
Xin-Chun Li
Wenxuan Fan
Shaoming Song
Yinchuan Li
Bingshuai Li
Yunfeng Shao
De-Chuan Zhan
200
34
0
10 Oct 2022
I2CR: Improving Noise Robustness on Keyword Spotting Using Inter-Intra
  Contrastive Regularization
I2CR: Improving Noise Robustness on Keyword Spotting Using Inter-Intra Contrastive RegularizationAsia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2022
Dianwen Ng
J. Yip
Tanmay Surana
Zhao Yang
Chong Zhang
Yukun Ma
Chongjia Ni
Chng Eng Siong
B. Ma
189
9
0
14 Sep 2022
Keyword Spotting System and Evaluation of Pruning and Quantization
  Methods on Low-power Edge Microcontrollers
Keyword Spotting System and Evaluation of Pruning and Quantization Methods on Low-power Edge Microcontrollers
Jingyi Wang
Shengchen Li
83
11
0
04 Aug 2022
ZeroFL: Efficient On-Device Training for Federated Learning with Local
  Sparsity
ZeroFL: Efficient On-Device Training for Federated Learning with Local SparsityInternational Conference on Learning Representations (ICLR), 2022
Xinchi Qiu
Javier Fernandez-Marques
Pedro Gusmão
Yan Gao
Titouan Parcollet
Nicholas D. Lane
FedML
182
85
0
04 Aug 2022
A 23 $μ$W Keyword Spotting IC with Ring-Oscillator-Based Time-Domain
  Feature Extraction
A 23 μμμW Keyword Spotting IC with Ring-Oscillator-Based Time-Domain Feature ExtractionIEEE Journal of Solid-State Circuits (JSSC), 2022
Kwantae Kim
Chang Gao
Rui Gracca
Ilya Kiselev
H. Yoo
T. Delbruck
Shih-Chii Liu
163
32
0
01 Aug 2022
T-RECX: Tiny-Resource Efficient Convolutional neural networks with
  early-eXit
T-RECX: Tiny-Resource Efficient Convolutional neural networks with early-eXitACM International Conference on Computing Frontiers (CF), 2022
N. Ghanathe
Steve Wilton
245
13
0
14 Jul 2022
Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark
Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark
H. Borras
G. D. Guglielmo
Javier Mauricio Duarte
Nicolò Ghielmetti
B. Hawks
...
Nhan Tran
Yaman Umuroglu
Olivia Weng
Aidan Yokuda
Michaela Blott
VLMMQ
173
15
0
23 Jun 2022
FedorAS: Federated Architecture Search under system heterogeneity
FedorAS: Federated Architecture Search under system heterogeneity
Łukasz Dudziak
Stefanos Laskaridis
Javier Fernandez-Marques
FedML
308
9
0
22 Jun 2022
Avoid Overfitting User Specific Information in Federated Keyword
  Spotting
Avoid Overfitting User Specific Information in Federated Keyword SpottingInterspeech (Interspeech), 2022
Xin-Chun Li
Jin-Lin Tang
Shaoming Song
Bingshuai Li
Yinchuan Li
Yunfeng Shao
Le Gan
De-Chuan Zhan
FedMLAAML
119
9
0
17 Jun 2022
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained
  Edge Nodes
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge NodesInternational Green and Sustainable Computing Conference (GSC), 2022
Matteo Risso
Luca Bompani
Luca Benini
Enrico Macii
Massimo Poncino
Daniele Jahier Pagliari
MQ
190
14
0
17 Jun 2022
Adversarial Vulnerability of Randomized Ensembles
Adversarial Vulnerability of Randomized EnsemblesInternational Conference on Machine Learning (ICML), 2022
Hassan Dbouk
Naresh R Shanbhag
AAML
133
7
0
14 Jun 2022
Machine Learning Sensors
Machine Learning Sensors
Pete Warden
Matthew P. Stewart
Brian Plancher
Colby R. Banbury
Yasmine Omri
Emma Chen
Zain Asgar
Sachin Katti
Vijay Janapa Reddi
176
14
0
07 Jun 2022
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained
  Deep Neural Networks
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural NetworksInternational Symposium on Low Power Electronics and Design (ISLPED), 2022
Matteo Risso
Luca Bompani
Luca Benini
Enrico Macii
Massimo Poncino
Daniele Jahier Pagliari
224
3
0
01 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A Review
Machine Learning for Microcontroller-Class Hardware: A ReviewIEEE Sensors Journal (IEEE Sens. J.), 2022
Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
435
168
0
29 May 2022
Real Time On Sensor Gait Phase Detection with 0.5KB Deep Learning Model
Real Time On Sensor Gait Phase Detection with 0.5KB Deep Learning ModelIEEE International Conference on Consumer Electronics (ICCE), 2020
Yian Chen
Jien-De Sui
Tian-Sheuan Chang
CVBM
94
1
0
02 May 2022
Depth Pruning with Auxiliary Networks for TinyML
Depth Pruning with Auxiliary Networks for TinyMLIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Josen Daniel De Leon
Rowel Atienza
VLM
231
14
0
22 Apr 2022
Federated Self-supervised Speech Representations: Are We There Yet?
Federated Self-supervised Speech Representations: Are We There Yet?Interspeech (Interspeech), 2022
Yan Gao
Javier Fernandez-Marques
Titouan Parcollet
Abhinav Mehrotra
Nicholas D. Lane
139
14
0
06 Apr 2022
Intelligence at the Extreme Edge: A Survey on Reformable TinyML
Intelligence at the Extreme Edge: A Survey on Reformable TinyMLACM Computing Surveys (ACM CSUR), 2022
Visal Rajapakse
Ishan Karunanayake
Nadeem Ahmed
SyDa
169
74
0
02 Apr 2022
Rainbow Keywords: Efficient Incremental Learning for Online Spoken
  Keyword Spotting
Rainbow Keywords: Efficient Incremental Learning for Online Spoken Keyword SpottingInterspeech (Interspeech), 2022
Yanghua Xiao
Nana Hou
Eng Siong Chng
CLL
181
17
0
30 Mar 2022
Training Quantised Neural Networks with STE Variants: the Additive Noise
  Annealing Algorithm
Training Quantised Neural Networks with STE Variants: the Additive Noise Annealing AlgorithmComputer Vision and Pattern Recognition (CVPR), 2022
Matteo Spallanzani
G. P. Leonardi
Luca Benini
128
4
0
21 Mar 2022
Infrastructure-free, Deep Learned Urban Noise Monitoring at $\sim$100mW
Infrastructure-free, Deep Learned Urban Noise Monitoring at ∼\sim∼100mWInternational Conference on Cyber-Physical Systems (ICCPS), 2022
Jihoon Yun
Sangeeta Srivastava
Dhrubojyoti Roy
Nathan Stohs
C. Mydlarz
Mahiny A. Salman
Bea Steers
J. P. Bello
Anish Arora
126
6
0
11 Mar 2022
YONO: Modeling Multiple Heterogeneous Neural Networks on
  Microcontrollers
YONO: Modeling Multiple Heterogeneous Neural Networks on MicrocontrollersInternational Symposium on Information Processing in Sensor Networks (IPSN), 2022
Young D. Kwon
Jagmohan Chauhan
Cecilia Mascolo
154
14
0
08 Mar 2022
BiFSMN: Binary Neural Network for Keyword Spotting
BiFSMN: Binary Neural Network for Keyword SpottingInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Haotong Qin
Xunyuan Ma
Yifu Ding
Xiaochen Li
Yang Zhang
Yao Tian
Zejun Ma
Jie Luo
Xianglong Liu
MQ
369
12
0
14 Feb 2022
A Fast Network Exploration Strategy to Profile Low Energy Consumption
  for Keyword Spotting
A Fast Network Exploration Strategy to Profile Low Energy Consumption for Keyword Spotting
A. Mazumder
T. Mohsenin
183
6
0
04 Feb 2022
ConvMixer: Feature Interactive Convolution with Curriculum Learning for
  Small Footprint and Noisy Far-field Keyword Spotting
ConvMixer: Feature Interactive Convolution with Curriculum Learning for Small Footprint and Noisy Far-field Keyword SpottingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Dianwen Ng
Yunqi Chen
Biao Tian
Qiang Fu
Chng Eng Siong
113
59
0
15 Jan 2022
Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and
  Binary Neural Networks
Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural NetworksIEEE Transactions on Circuits and Systems Part 1: Regular Papers (TCAS I), 2022
G. Cerutti
Lukas Cavigelli
Renzo Andri
Michele Magno
Elisabetta Farella
Luca Benini
114
18
0
10 Jan 2022
Computational bioacoustics with deep learning: a review and roadmap
Computational bioacoustics with deep learning: a review and roadmap
D. Stowell
212
331
0
13 Dec 2021
Deep Spoken Keyword Spotting: An Overview
Deep Spoken Keyword Spotting: An OverviewIEEE Access (IEEE Access), 2021
Iván López-Espejo
Zheng-Hua Tan
John H. L. Hansen
Jesper Jensen
181
131
0
20 Nov 2021
Ultra-Low Power Keyword Spotting at the Edge
Ultra-Low Power Keyword Spotting at the Edge
Mehmet Gorkem Ulkar
O. E. Okman
60
16
0
09 Nov 2021
Visual Keyword Spotting with Attention
Visual Keyword Spotting with AttentionBritish Machine Vision Conference (BMVC), 2021
Prajwal K R
Liliane Momeni
Triantafyllos Afouras
Andrew Zisserman
132
16
0
29 Oct 2021
Differentiable Network Pruning for Microcontrollers
Differentiable Network Pruning for Microcontrollers
Edgar Liberis
Nicholas D. Lane
218
25
0
15 Oct 2021
End-to-end Keyword Spotting using Xception-1d
End-to-end Keyword Spotting using Xception-1dThe European Symposium on Artificial Neural Networks (ESANN), 2021
Iván Vallés-Pérez
J. Gómez-Sanchís
M. Martínez-Sober
Joan Vila-Francés
Antonio J. Serrano
E. Soria-Olivas
123
0
0
09 Oct 2021
Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural
  Networks
Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural Networks
Alan Jeffares
Qinghai Guo
Pontus Stenetorp
Timoleon Moraitis
176
17
0
06 Oct 2021
Behavior of Keyword Spotting Networks Under Noisy Conditions
Behavior of Keyword Spotting Networks Under Noisy Conditions
Anwesh Mohanty
Adrian Frischknecht
Christoph Gerum
Oliver Bringmann
166
1
0
15 Sep 2021
A Separable Temporal Convolution Neural Network with Attention for
  Small-Footprint Keyword Spotting
A Separable Temporal Convolution Neural Network with Attention for Small-Footprint Keyword Spotting
Shenghua Hu
Jing Wang
Yujun Wang
Lidong Yang
Wenjing Yang
118
2
0
01 Sep 2021
Separable Temporal Convolution plus Temporally Pooled Attention for
  Lightweight High-performance Keyword Spotting
Separable Temporal Convolution plus Temporally Pooled Attention for Lightweight High-performance Keyword SpottingAsia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2021
Shenghua Hu
Jing Wang
Yujun Wang
Wenjing Yang
107
1
0
27 Aug 2021
Federated Learning Meets Natural Language Processing: A Survey
Federated Learning Meets Natural Language Processing: A Survey
Ming Liu
Stella Ho
Mengqi Wang
Longxiang Gao
Yuan Jin
Heng Zhang
FedML
142
82
0
27 Jul 2021
A Construction Kit for Efficient Low Power Neural Network Accelerator
  Designs
A Construction Kit for Efficient Low Power Neural Network Accelerator Designs
Petar Jokic
E. Azarkhish
Andrea Bonetti
M. Pons
S. Emery
Luca Benini
167
5
0
24 Jun 2021
Zero-Shot Federated Learning with New Classes for Audio Classification
Zero-Shot Federated Learning with New Classes for Audio ClassificationInterspeech (Interspeech), 2021
Gautham Krishna Gudur
S. K. Perepu
FedML
89
12
0
18 Jun 2021
MLPerf Tiny Benchmark
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Colby R. Banbury
Vijay Janapa Reddi
P. Torelli
J. Holleman
Nat Jeffries
...
Videet Parekh
Honson Tran
Nhan Tran
Niu Wenxu
Xu Xuesong
VLM
428
241
0
14 Jun 2021
Widening Access to Applied Machine Learning with TinyML
Widening Access to Applied Machine Learning with TinyMLHarvard data science review (HDSR), 2021
Vijay Janapa Reddi
Brian Plancher
Susan Kennedy
L. Moroney
Pete Warden
...
Dominic Pajak
Dhilan Ramaprasad
J. E. Smith
Matthew P. Stewart
D. Tingley
119
56
0
07 Jun 2021
Encoder-Decoder Neural Architecture Optimization for Keyword Spotting
Encoder-Decoder Neural Architecture Optimization for Keyword Spotting
Tong Mo
Bang Liu
261
7
0
04 Jun 2021
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