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Hello Edge: Keyword Spotting on Microcontrollers

Hello Edge: Keyword Spotting on Microcontrollers

20 November 2017
Yundong Zhang
Naveen Suda
Liangzhen Lai
Vikas Chandra
ArXivPDFHTML

Papers citing "Hello Edge: Keyword Spotting on Microcontrollers"

25 / 75 papers shown
Title
Seeing wake words: Audio-visual Keyword Spotting
Seeing wake words: Audio-visual Keyword Spotting
Liliane Momeni
Triantafyllos Afouras
Themos Stafylakis
Samuel Albanie
Andrew Zisserman
46
43
0
02 Sep 2020
Robustifying the Deployment of tinyML Models for Autonomous
  mini-vehicles
Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles
Miguel de Prado
Manuele Rusci
Romain Donze
Alessandro Capotondi
Serge Monnerat
Luca Benini and
Nuria Pazos
27
39
0
01 Jul 2020
Metric Learning for Keyword Spotting
Metric Learning for Keyword Spotting
Jaesung Huh
Minjae Lee
Hee-Soo Heo
Seongkyu Mun
Joon Son Chung
21
23
0
18 May 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
19
109
0
14 May 2020
Mic2Mic: Using Cycle-Consistent Generative Adversarial Networks to
  Overcome Microphone Variability in Speech Systems
Mic2Mic: Using Cycle-Consistent Generative Adversarial Networks to Overcome Microphone Variability in Speech Systems
Akhil Mathur
Anton Isopoussu
F. Kawsar
N. Bianchi-Berthouze
Nicholas D. Lane
25
51
0
27 Mar 2020
Benchmarking TinyML Systems: Challenges and Direction
Benchmarking TinyML Systems: Challenges and Direction
Colby R. Banbury
Vijay Janapa Reddi
Max Lam
William Fu
A. Fazel
...
Jae-sun Seo
Jeff Sieracki
Urmish Thakker
Marian Verhelst
Poonam Yadav
117
230
0
10 Mar 2020
Small-Footprint Open-Vocabulary Keyword Spotting with Quantized LSTM
  Networks
Small-Footprint Open-Vocabulary Keyword Spotting with Quantized LSTM Networks
Théodore Bluche
Maël Primet
Thibault Gisselbrecht
ObjD
MQ
28
24
0
25 Feb 2020
Compact recurrent neural networks for acoustic event detection on
  low-energy low-complexity platforms
Compact recurrent neural networks for acoustic event detection on low-energy low-complexity platforms
G. Cerutti
Rahul Prasad
Alessio Brutti
Elisabetta Farella
21
47
0
29 Jan 2020
On the human evaluation of audio adversarial examples
On the human evaluation of audio adversarial examples
Jon Vadillo
Roberto Santana
AAML
33
3
0
23 Jan 2020
FQ-Conv: Fully Quantized Convolution for Efficient and Accurate
  Inference
FQ-Conv: Fully Quantized Convolution for Efficient and Accurate Inference
Bram-Ernst Verhoef
Nathan Laubeuf
S. Cosemans
P. Debacker
Ioannis A. Papistas
A. Mallik
D. Verkest
MQ
19
16
0
19 Dec 2019
Predicting detection filters for small footprint open-vocabulary keyword
  spotting
Predicting detection filters for small footprint open-vocabulary keyword spotting
Théodore Bluche
Thibault Gisselbrecht
ObjD
26
19
0
16 Dec 2019
Training DNN IoT Applications for Deployment On Analog NVM Crossbars
Training DNN IoT Applications for Deployment On Analog NVM Crossbars
F. García-Redondo
Shidhartha Das
G. Rosendale
19
5
0
30 Oct 2019
Neural networks on microcontrollers: saving memory at inference via
  operator reordering
Neural networks on microcontrollers: saving memory at inference via operator reordering
Edgar Liberis
Nicholas D. Lane
11
46
0
02 Oct 2019
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on
  Embedded Systems
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems
Xiaofan Zhang
Haoming Lu
Cong Hao
Jiachen Li
Bowen Cheng
...
Jinjun Xiong
Thomas Huang
Humphrey Shi
Wen-mei W. Hwu
Deming Chen
39
92
0
20 Sep 2019
A Temporal Clustering Algorithm for Achieving the trade-off between the
  User Experience and the Equipment Economy in the Context of IoT
A Temporal Clustering Algorithm for Achieving the trade-off between the User Experience and the Equipment Economy in the Context of IoT
Caio Ponte
Carlos Caminha
Rafael Bomfim
R. Moreira
Vasco Furtado
13
2
0
30 Jul 2019
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 IoT
Kartikeya Bhardwaj
Chingyi Lin
A. L. Sartor
R. Marculescu
GNN
23
51
0
26 Jul 2019
Visual Wake Words Dataset
Visual Wake Words Dataset
Aakanksha Chowdhery
Pete Warden
Jonathon Shlens
Andrew G. Howard
Rocky Rhodes
VLM
18
99
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
27
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 Microcontrollers
Manuele Rusci
Alessandro Capotondi
Luca Benini
MQ
24
74
0
30 May 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
27
15
0
21 Feb 2019
Efficient keyword spotting using dilated convolutions and gating
Efficient keyword spotting using dilated convolutions and gating
A. Coucke
M. Chlieh
Thibault Gisselbrecht
David Leroy
Mathieu Poumeyrol
Thibaut Lavril
22
96
0
19 Nov 2018
Federated Learning for Keyword Spotting
Federated Learning for Keyword Spotting
David Leroy
A. Coucke
Thibaut Lavril
Thibault Gisselbrecht
Joseph Dureau
FedML
25
282
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
19
144
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
33
39
0
11 Jul 2018
Resource-Efficient Neural Architect
Resource-Efficient Neural Architect
Yanqi Zhou
S. Ebrahimi
Sercan Ö. Arik
Haonan Yu
Hairong Liu
G. Diamos
22
64
0
12 Jun 2018
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