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Metric Learning for Keyword Spotting

Metric Learning for Keyword Spotting

18 May 2020
Jaesung Huh
Minjae Lee
Hee-Soo Heo
Seongkyu Mun
Joon Son Chung
ArXivPDFHTML

Papers citing "Metric Learning for Keyword Spotting"

25 / 25 papers shown
Title
Few-Shot Keyword Spotting With Prototypical Networks
Few-Shot Keyword Spotting With Prototypical Networks
Archit Parnami
Minwoo Lee
40
32
0
25 Jul 2020
Depthwise Separable Convolutional ResNet with Squeeze-and-Excitation
  Blocks for Small-footprint Keyword Spotting
Depthwise Separable Convolutional ResNet with Squeeze-and-Excitation Blocks for Small-footprint Keyword Spotting
Menglong Xu
Xiao-Lei Zhang
25
33
0
25 Apr 2020
In defence of metric learning for speaker recognition
In defence of metric learning for speaker recognition
Joon Son Chung
Jaesung Huh
Seongkyu Mun
Minjae Lee
Hee-Soo Heo
Soyeon Choe
Chiheon Ham
Sung-Ye Jung
Bong-Jin Lee
Icksang Han
54
436
0
26 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
389
42,299
0
03 Dec 2019
Small-Footprint Keyword Spotting on Raw Audio Data with
  Sinc-Convolutions
Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions
Simon Mittermaier
Ludwig Kurzinger
Bernd Waschneck
Gerhard Rigoll
49
57
0
05 Nov 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
80
154
0
08 Apr 2019
An Optimized Recurrent Unit for Ultra-Low-Power Keyword Spotting
An Optimized Recurrent Unit for Ultra-Low-Power Keyword Spotting
Justice Amoh
K. Odame
44
18
0
13 Feb 2019
End-to-end losses based on speaker basis vectors and all-speaker hard
  negative mining for speaker verification
End-to-end losses based on speaker basis vectors and all-speaker hard negative mining for speaker verification
Hee-Soo Heo
Jee-weon Jung
Il-Ho Yang
Sung-Hyun Yoon
Hye-jin Shim
Ha-Jin Yu
49
22
0
07 Feb 2019
Prototypical Metric Transfer Learning for Continuous Speech Keyword
  Spotting With Limited Training Data
Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting With Limited Training Data
Harshita Seth
Pulkit Kumar
Muktabh Mayank Srivastava
112
12
0
12 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
42
7
0
26 Dec 2018
Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware
Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware
Peter Blouw
Xuan Choo
Eric Hunsberger
C. Eliasmith
BDL
39
193
0
04 Dec 2018
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
58
99
0
19 Nov 2018
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Pete Warden
74
1,615
0
09 Apr 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
Generalized End-to-End Loss for Speaker Verification
Generalized End-to-End Loss for Speaker Verification
Li Wan
Quan Wang
Alan Papir
Ignacio López Moreno
VLM
66
924
0
28 Oct 2017
Deep Residual Learning for Small-Footprint Keyword Spotting
Deep Residual Learning for Small-Footprint Keyword Spotting
Raphael Tang
Jimmy J. Lin
55
237
0
28 Oct 2017
VoxCeleb: a large-scale speaker identification dataset
VoxCeleb: a large-scale speaker identification dataset
Arsha Nagrani
Joon Son Chung
Andrew Zisserman
117
2,273
0
26 Jun 2017
Max-Pooling Loss Training of Long Short-Term Memory Networks for
  Small-Footprint Keyword Spotting
Max-Pooling Loss Training of Long Short-Term Memory Networks for Small-Footprint Keyword Spotting
Ming Sun
A. Raju
George Tucker
S. Panchapagesan
Gengshen Fu
Arindam Mandal
Spyros Matsoukas
N. Strom
S. Vitaladevuni
43
119
0
05 May 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
281
8,114
0
15 Mar 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,426
0
10 Dec 2015
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
260
8,434
0
23 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
344
13,123
0
12 Mar 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
432
43,234
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
149,842
0
22 Dec 2014
Deep metric learning using Triplet network
Deep metric learning using Triplet network
Elad Hoffer
Nir Ailon
SSL
DML
182
1,993
0
20 Dec 2014
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