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Unified Microphone Conversion: Many-to-Many Device Mapping via Feature-wise Linear Modulation
v1v2v3 (latest)

Unified Microphone Conversion: Many-to-Many Device Mapping via Feature-wise Linear Modulation

23 October 2024
Myeonghoon Ryu
Hongseok Oh
Suji Lee
Han Park
ArXiv (abs)PDFHTML

Papers citing "Unified Microphone Conversion: Many-to-Many Device Mapping via Feature-wise Linear Modulation"

12 / 12 papers shown
Title
Microphone Conversion: Mitigating Device Variability in Sound Event
  Classification
Microphone Conversion: Mitigating Device Variability in Sound Event Classification
Myeonghoon Ryu
Hongseok Oh
Suji Lee
Han Park
82
4
0
12 Jan 2024
QTI Submission to DCASE 2021: residual normalization for
  device-imbalanced acoustic scene classification with efficient design
QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design
Byeonggeun Kim
Seunghan Yang
Jangho Kim
Simyung Chang
91
58
0
28 Jun 2022
Domain Generalization with Relaxed Instance Frequency-wise Normalization
  for Multi-device Acoustic Scene Classification
Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification
Byeonggeun Kim
Seunghan Yang
Jangho Kim
Hyunsin Park
Juntae Lee
Simyung Chang
104
31
0
24 Jun 2022
Heavily Augmented Sound Event Detection utilizing Weak Predictions
Heavily Augmented Sound Event Detection utilizing Weak Predictions
Hyeonuk Nam
Byeongil Ko
Gyeong-Tae Lee
Seong-Hu Kim
Won-Ho Jung
Sang-Min Choi
Yong-Hwa Park
93
30
0
08 Jul 2021
Revisiting Locally Supervised Learning: an Alternative to End-to-end
  Training
Revisiting Locally Supervised Learning: an Alternative to End-to-end Training
Yulin Wang
Zanlin Ni
Shiji Song
Le Yang
Gao Huang
95
92
0
26 Jan 2021
SpecAugment: A Simple Data Augmentation Method for Automatic Speech
  Recognition
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
Daniel S. Park
William Chan
Yu Zhang
Chung-Cheng Chiu
Barret Zoph
E. D. Cubuk
Quoc V. Le
VLM
324
3,601
0
18 Apr 2019
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
371
10,214
0
25 Oct 2017
FiLM: Visual Reasoning with a General Conditioning Layer
FiLM: Visual Reasoning with a General Conditioning Layer
Ethan Perez
Florian Strub
H. D. Vries
Vincent Dumoulin
Aaron Courville
FAttAIMatOffRLAI4CE
590
2,423
0
22 Sep 2017
Learning from Simulated and Unsupervised Images through Adversarial
  Training
Learning from Simulated and Unsupervised Images through Adversarial Training
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
149
1,817
0
22 Dec 2016
Least Squares Generative Adversarial Networks
Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
620
4,649
0
13 Nov 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
3.0K
200,816
0
10 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
3.5K
153,392
0
22 Dec 2014
1