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1711.07128
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Hello Edge: Keyword Spotting on Microcontrollers
20 November 2017
Yundong Zhang
Naveen Suda
Liangzhen Lai
Vikas Chandra
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Papers citing
"Hello Edge: Keyword Spotting on Microcontrollers"
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Title
Lightweight feature encoder for wake-up word detection based on self-supervised speech representation
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
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BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance
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Haotong Qin
Xudong Ma
Yifu Ding
Xiaochen Li
Yang Zhang
Zejun Ma
Jinyang Guo
Jie Luo
Xianglong Liu
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LiCo-Net: Linearized Convolution Network for Hardware-efficient Keyword Spotting
Haichuan Yang
Zhaojun Yang
Liting Wan
Biqiao Zhang
Yangyang Shi
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R. Álvarez
Ming Sun
Xin Lei
Raghuraman Krishnamoorthi
Vikas Chandra
125
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09 Nov 2022
Metric Learning for User-defined Keyword Spotting
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Jaemin Jung
You-kyong. Kim
Jihwan Park
Youshin Lim
Byeong-Yeol Kim
Youngjoon Jang
Joon Son Chung
201
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01 Nov 2022
HEiMDaL: Highly Efficient Method for Detection and Localization of wake-words
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Arnav Kundu
Mohammad Samragh Razlighi
Minsik Cho
Priyanka Padmanabhan
Devang Naik
112
3
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26 Oct 2022
Taxonomic Classification of IoT Smart Home Voice Control
M. Hewitt
H. Cunningham
150
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24 Oct 2022
Discriminatory and orthogonal feature learning for noise robust keyword spotting
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Donghyeon Kim
Kyungdeuk Ko
D. Han
Hanseok Ko
121
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20 Oct 2022
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again
Neural Information Processing Systems (NeurIPS), 2022
Xin-Chun Li
Wenxuan Fan
Shaoming Song
Yinchuan Li
Bingshuai Li
Yunfeng Shao
De-Chuan Zhan
200
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I2CR: Improving Noise Robustness on Keyword Spotting Using Inter-Intra Contrastive Regularization
Asia-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
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14 Sep 2022
Keyword Spotting System and Evaluation of Pruning and Quantization Methods on Low-power Edge Microcontrollers
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Shengchen Li
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ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity
International Conference on Learning Representations (ICLR), 2022
Xinchi Qiu
Javier Fernandez-Marques
Pedro Gusmão
Yan Gao
Titouan Parcollet
Nicholas D. Lane
FedML
182
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04 Aug 2022
A 23
μ
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W Keyword Spotting IC with Ring-Oscillator-Based Time-Domain Feature Extraction
IEEE Journal of Solid-State Circuits (JSSC), 2022
Kwantae Kim
Chang Gao
Rui Gracca
Ilya Kiselev
H. Yoo
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Shih-Chii Liu
163
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T-RECX: Tiny-Resource Efficient Convolutional neural networks with early-eXit
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245
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G. D. Guglielmo
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Nicolò Ghielmetti
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Yaman Umuroglu
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Aidan Yokuda
Michaela Blott
VLM
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173
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Łukasz Dudziak
Stefanos Laskaridis
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308
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22 Jun 2022
Avoid Overfitting User Specific Information in Federated Keyword Spotting
Interspeech (Interspeech), 2022
Xin-Chun Li
Jin-Lin Tang
Shaoming Song
Bingshuai Li
Yinchuan Li
Yunfeng Shao
Le Gan
De-Chuan Zhan
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119
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Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes
International Green and Sustainable Computing Conference (GSC), 2022
Matteo Risso
Luca Bompani
Luca Benini
Enrico Macii
Massimo Poncino
Daniele Jahier Pagliari
MQ
190
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17 Jun 2022
Adversarial Vulnerability of Randomized Ensembles
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Hassan Dbouk
Naresh R Shanbhag
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133
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Machine Learning Sensors
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Matthew P. Stewart
Brian Plancher
Colby R. Banbury
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Zain Asgar
Sachin Katti
Vijay Janapa Reddi
176
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Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks
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Matteo Risso
Luca Bompani
Luca Benini
Enrico Macii
Massimo Poncino
Daniele Jahier Pagliari
224
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Machine Learning for Microcontroller-Class Hardware: A Review
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Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
435
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Real Time On Sensor Gait Phase Detection with 0.5KB Deep Learning Model
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Yian Chen
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Depth Pruning with Auxiliary Networks for TinyML
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Josen Daniel De Leon
Rowel Atienza
VLM
231
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22 Apr 2022
Federated Self-supervised Speech Representations: Are We There Yet?
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Yan Gao
Javier Fernandez-Marques
Titouan Parcollet
Abhinav Mehrotra
Nicholas D. Lane
139
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06 Apr 2022
Intelligence at the Extreme Edge: A Survey on Reformable TinyML
ACM Computing Surveys (ACM CSUR), 2022
Visal Rajapakse
Ishan Karunanayake
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169
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Yanghua Xiao
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181
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Training Quantised Neural Networks with STE Variants: the Additive Noise Annealing Algorithm
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G. P. Leonardi
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128
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Infrastructure-free, Deep Learned Urban Noise Monitoring at
∼
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Jihoon Yun
Sangeeta Srivastava
Dhrubojyoti Roy
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C. Mydlarz
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126
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YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers
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154
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BiFSMN: Binary Neural Network for Keyword Spotting
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Haotong Qin
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Xiaochen Li
Yang Zhang
Yao Tian
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Jie Luo
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369
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A Fast Network Exploration Strategy to Profile Low Energy Consumption for Keyword Spotting
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183
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ConvMixer: Feature Interactive Convolution with Curriculum Learning for Small Footprint and Noisy Far-field Keyword Spotting
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Dianwen Ng
Yunqi Chen
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113
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Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks
IEEE Transactions on Circuits and Systems Part 1: Regular Papers (TCAS I), 2022
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Renzo Andri
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Elisabetta Farella
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114
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Deep Spoken Keyword Spotting: An Overview
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John H. L. Hansen
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181
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Ultra-Low Power Keyword Spotting at the Edge
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Visual Keyword Spotting with Attention
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End-to-end Keyword Spotting using Xception-1d
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Behavior of Keyword Spotting Networks Under Noisy Conditions
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A Separable Temporal Convolution Neural Network with Attention for Small-Footprint Keyword Spotting
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Separable Temporal Convolution plus Temporally Pooled Attention for Lightweight High-performance Keyword Spotting
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Encoder-Decoder Neural Architecture Optimization for Keyword Spotting
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