Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2108.03020
Cited By
SpecMix : A Mixed Sample Data Augmentation method for Training withTime-Frequency Domain Features
6 August 2021
Gwantae Kim
D. Han
Hanseok Ko
Re-assign community
ArXiv
PDF
HTML
Papers citing
"SpecMix : A Mixed Sample Data Augmentation method for Training withTime-Frequency Domain Features"
18 / 18 papers shown
Title
Frequency-mix Knowledge Distillation for Fake Speech Detection
Cunhang Fan
Shunbo Dong
Jun Xue
Yujie Chen
Jiangyan Yi
Zhao Lv
24
0
0
14 Jun 2024
Audio Anti-Spoofing Detection: A Survey
Menglu Li
Yasaman Ahmadiadli
Xiao-Ping Zhang
42
17
0
22 Apr 2024
Training Generative Adversarial Network-Based Vocoder with Limited Data Using Augmentation-Conditional Discriminator
Takuhiro Kaneko
Hirokazu Kameoka
Kou Tanaka
21
0
0
25 Mar 2024
PowMix: A Versatile Regularizer for Multimodal Sentiment Analysis
Efthymios Georgiou
Yannis Avrithis
Alexandros Potamianos
20
1
0
19 Dec 2023
PhasePerturbation: Speech Data Augmentation via Phase Perturbation for Automatic Speech Recognition
Chengxi Lei
Satwinder Singh
Feng Hou
Xiaoyun Jia
Ruili Wang
25
1
0
13 Dec 2023
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning
B. U. Demirel
Christian Holz
AI4TS
24
18
0
23 Sep 2023
Empirical Study of Mix-based Data Augmentation Methods in Physiological Time Series Data
Peikun Guo
Huiyuan Yang
Akane Sano
AI4TS
8
5
0
18 Sep 2023
AudRandAug: Random Image Augmentations for Audio Classification
Teerath Kumar
Muhammad Turab
Alessandra Mileo
Malika Bendechache
Takfarinas Saber
18
7
0
09 Sep 2023
Generative Machine Listener
Guanxin Jiang
Lars Villemoes
A. Biswas
11
2
0
18 Aug 2023
Multi-perspective Information Fusion Res2Net with RandomSpecmix for Fake Speech Detection
Shunbo Dong
Jun Xue
Cunhang Fan
Kang Zhu
Yujie Chen
Zhao Lv
23
4
0
27 Jun 2023
MPE4G: Multimodal Pretrained Encoder for Co-Speech Gesture Generation
Gwantae Kim
Seong-Soo Noh
Insung Ham
Hanseok Ko
SLR
9
7
0
25 May 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
18
28
0
21 Dec 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective
Chanwoo Park
Sangdoo Yun
Sanghyuk Chun
AAML
21
32
0
21 Aug 2022
Efficient dynamic filter for robust and low computational feature extraction
Donghyeon Kim
Gwantae Kim
Bokyeung Lee
Jeong-gi Kwak
D. Han
Hanseok Ko
26
3
0
03 May 2022
Frequency Selective Augmentation for Video Representation Learning
Jinhyung Kim
Taeoh Kim
Minho Shim
Dongyoon Han
Dongyoon Wee
Junmo Kim
AI4TS
46
3
0
08 Apr 2022
RawBoost: A Raw Data Boosting and Augmentation Method applied to Automatic Speaker Verification Anti-Spoofing
Hemlata Tak
Madhu R. Kamble
J. Patino
Massimiliano Todisco
Nicholas W. D. Evans
60
102
0
08 Nov 2021
Survey: Image Mixing and Deleting for Data Augmentation
Humza Naveed
Saeed Anwar
Munawar Hayat
Kashif Javed
Ajmal Mian
32
78
0
13 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition
Yihong Dong
Ying Peng
Muqiao Yang
Songtao Lu
Qingjiang Shi
40
9
0
05 Jun 2021
1