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2024.4 Sunmook Choi, Sanghyeok Chung, Seungeun Lee, Soyul Han, Taein Kang, Jaejin Seo, Il-Youp Kwak, Seungsang Oh (2024) TB-ResNet: Bridging the Gap from TDNN to ResNet in Automatic Speaker Verification with Temporal-Bottleneck Enhancement, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024), COEX, Seoul, Korea. [ IEEE Xplore | pdf ]
2024.1 Il-Youp Kwak, Byeong-Chan Kim, Juhyun Lee, Taein Kang , Daniel J. Garry, Jianyi Zhang, and Wuming Gong (2024) Proformer: a hybrid macaron transformer model predicts expression values from promoter sequences, BMC Bioinformatics, 25:81, [ PubMed | pdf ]
2023.10 So-Yul Han, Woongsun Jeon, Wuming Gong, Il-Youp Kwak (2023) MCHeart: Multi-Channel-Based Heart Signal Processing Scheme for Heart Noise Detection Using Deep Learning, Biology, 12(10), 1291 [ pdf ]
2023.8 So-Yul Han, Taein Kang, Sunmook Choi, Jaejin Seo, Sanghyeok Chung, Sumi Lee, Seungsang Oh, Il-Youp Kwak) (2023) CAU KU deep fake detection system for ADD 2023 challenge, The 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023, Workshop on Deepfake Audio Detection and Analysis), Macao SAR, China. [ pdf ]
2023.7 Sumi Lee, Narin Kim, Il-Youp Kwak (2023) Sound Event Detection Model Using TC-LCAM, 한국통계학회 포스터 논문상, 1등상 수상, 2023년 하계학술논문발표회.
2023.6 Hyejin Won, Baekseung Kim, Il-Youp Kwak, Changwon Lim (2023). Using various pre-trained models for audio feature extraction in automated audio captioning, Expert Systems with Applications, 231(30), 120664. [ Link ]
2023.5 [3rd] Our CAU_KU team
(So-Yul Han, Taein Kang, Sunmook Choi, Jaejin Seo, Sanghyeok Chung, Sumi Lee, Seungsang Oh, Il-Youp Kwak) ranked 3rd place at the second Audio Deepfake Detection challenge 2023, Track 1.2 (fake audio detection track).
2023.5 Il-Youp Kwak, Kwag S, Lee J, Jeon Y, Hwang J, Hyojung Choi, Jong-Hoon Yang, So-Yul Han, Huh JH, Lee CH, Yoon JW (2023) Voice Spoofing Detection through Residual Network, Max Feature Map, and Depthwise Separable Convolution, IEEE Access, 11, 49140-49152 [ IEEE Xplore | pdf ]
2023.4 KwanYeol Park, Il-Youp Kwak (2023) Comparative study of data augmentation methods for fake audio detection The Korean Journal of Applied Statistics, 36(2), 101-114 [ Link | pdf ]
2023.3 Taein Kang, Il-Youp Kwak (2023) A two-stage training approach for voice spoofing detection Journal of the Korean Data and Information Science Society, 34, 203-214 [ Link | pdf ]
2023.3 Yerin Lee, Narin Kim, Jaehong Jeong, Il-Youp Kwak (2023) Experimental Case Study of Self-supervised Learning for Voice Spoofing Detection, IEEE Access, 11, 24216-24226 [ IEEE Xplore | pdf ]
2023.1 Narin Kim, Donghyun Son, 반려동물 건강정보 AI 학습데이터 활용 해커톤, 최우수상. [ News ]
2022.12 Taein Kang, Sumi Lee, Byeongchan Kim, Jaejin Seo Dacon, 상추의 생육 환경 생성 AI 경진대회, 우승.
2022.12 Taein Kang , Dong kyung Lim, Hyeongjun Im, 2022 빅콘테스트, 장려상.
2022.10 Hyojung Choi, Chanhwi Jung, Taein Kang, Hyunwoo Kim, Il-Youp Kwak (2022) Explainable Time-series Prediction using a Residual Network and Gradient-based Methods, IEEE Access, 10, 108469 - 108482 [ IEEE Xplore | pdf ]
2022.10 Il-Youp Kwak, Sunmook Choi, Jonghoon Yang, Yerin Lee, Seungsang Oh (2022) Low-quality Fake Audio Detection through Frequency Feature Masking, 30th ACM International Conference on Multimedia (ACM MM 2022, Workshop on Deepfake Detection for Audio Multimedia), Lisbon, Portugal. [ ACM DL | pdf ]
2022.10 Jungguk Lee, Taein Kang, Narin Kim, Soyul Han, Hyejin Won, Wuming Gong and Il-Youp Kwak (2022) Deep Learning Based Heart Murmur Detection using Frequency-time Domain Features of Heartbeat Sounds, The 49th Computing in Cardiology conference (CinC 2022), Tampere, Finland. [ IEEE Xplore | pdf ]
2022.9 [3rd] Our Unlock_DNA team
(Wuming Gong, Byeong-Chan Kim, Juhyun Lee, and Il-Youp Kwak) ranked 3rd place at the DREAM challenge "Predicting gene expression using millions of random promoter sequences."
2022.9 [3rd and 5th] Our CAU_UMN team
(Jungguk Lee, Taein Kang, Narin Kim, Soyul Han, Hyejin Won, Wuming Gong, and Il-Youp Kwak) ranked 3rd place on Heart Murmur Detection, and 5th place on clinical outcome prediction from Phonocardiogram Recordings at the George B. Moody PhysioNet Challenges [ challenge results ].
2022.8 Jonghoon Yang, Sunmook Choi, Yerin Lee, Seungsang Oh, Il-Youp Kwak (2022) Light-Weight Frequency Information Aware Neural Network Architecture for Voice Spoofing Detection, 26th International Conference on
Pattern Recognition (ICPR 2022), Montréal Québec, Canada.
2022.1 [3rd] Our CAU_KU team
(Il-Youp Kwak, Jonghoon Yang, Yerin Lee, Sunmook Choi and SeungSang Oh) ranked 3rd place at the ICASSP 2022 Grand Challenge on Audio Deepfake Detection, Track 1 (Low quality fake audio detection). [ Link to challenge ]
2021.12 Soyoung Lim, Il-Youp Kwak (2021) Light weight architecture for acoustic scene classification, The Korean Journal of Applied Statistics, 34(3), 435--446 [ Link | pdf ]
2021.7 [6th] Our CAU team (Hyejin Won, Baekseung Kim, Il-Youp Kwak and Changwon Lim) ranked 6th place at the IEEE AASP challenge on Detection and Classification of Acoustic Scenes and Event (DCASE) Task 6 on Audio Captioning. [ Link to challenge | Workshop paper | Video ]
2021.7 Hyojung Choi, Il-Youp Kwak (2021) Data augmentation in voice spoofing problem, The Korean Journal of Applied Statistics, 34(3), 435--446 [ Link | pdf ]
2021.4 Jonghoon Yang, Il-Youp Kwak (2021) Research trends in statistics for domestic and international journal using paper abstract data, The Korean Journal of Applied Statistics, 34(2), 267--278, [Link | pdf]
Yerin Lee, Soyoung Lim, Il-Youp Kwak (2021) CNN-Based Acoustic Scene Classification System, Electronics, 10(4), 371, [Link | pdf]
2020.7 [7th and 9th ] Our CAU-ET team (Yerin Lee, Soyoung Lim and Il-Youp Kwak) ranked 7th and 9th place at the IEEE AASP challenge on Detection and Classification of Acoustic Scenes and Event (DCASE) Task 1 subtask B and A. [ Link to challenge | Paper ]
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