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Deep Learning Applications in Voice Security
Voice Spoofing Detection using Deep Learning |
2024 Choi S, Chung S, Lee S, Han S, Kang T, Seo J, Kwak IY, Oh S (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, Accepted. Kwak IY, Kim KS, Min HJ (2024) Association of gustatory dysfunction and Alzheimer's disease: a systematic review and meta-analysis, Rhinology, Accepted.
Kwak IY, Kim B, Lee J, Kang T, Garry JD, Zhang J, Gong W (2024) Proformer: a hybrid macaron transformer model predicts expression values from promoter sequences, BMC Bioinformatics, 25, 81.
2023 Lee Y, Kim N, Jeong J, Kwak IY (2023) Experimental Case Study of Self-supervised Learning for Voice Spoofing Detection, IEEE Access, 11, 24216-24226
Park YB, Kim H, Lee HJ, Baek SH, Kwak IY, Kim SH (2023) The Clinical Application of Machine Learning Models for Risk Analysis of Ramp Lesions in Anterior Cruciate Ligament Injuries, The American Journal of Sports Medicine, 51(1), 107-118.
Kwak IY, Kim KS, Min HJ (2023) Gustatory dysfunction is related to Parkinson's disease: A systematic review and meta‐analysis, International Forum of Allergy & Rhinology , 13(10), 1949-1957.
Kwak IY, Kwag S, Lee J, Jeon Y, Hwang J, Choi HJ, Yang JH, Han SY, 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
Won H, Kim B, Kwak IY, Lim C (2023) Using various pre-trained models for audio feature extraction in automated audio captioning, Expert Systems with Applications, 231(30), 120664
Han S, Kang T, Choi S, Seo J, Chung S, Lee S, Oh S, Kwak IY (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.
Han S, Jeon W, Gong W,Kwak IY (2023) MCHeart: Multi-Channel-Based Heart Signal Processing Scheme for Heart Noise Detection Using Deep Learning, Biology, 12(10), 1291 2022 Gong W, Kim H, Garry D, Kwak IY (2022) Single cell lineage reconstruction using distance-based algorithms and the R package, DCLEAR BMC Bioinformatics, 23(1), 1-14 Yang J, Choi S, Lee Y, Oh S, Kwak IY (2022) Light-Weight Frequency Information Aware Neural Network Architecture for Voice Spoofing Detection, 26th International Conference on
Pattern Recognition (ICPR 2022), Montréal Québec, Canada.
Choi S, Kwak IY, Oh S (2022) Overlapped Frequency-Distributed Network: Frequency-Aware Voice Spoofing Countermeasure, Interspeech 2022, Incheon, Korea.
Kwak IY, Choi S, Yang J, Lee Y, Oh S (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.
Lee J, Kang T, Kim N, Han S, Won H, Gong W, Kwak IY (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.
Yoshihara T, Miller ND, Rabanal FA, Myles H, Kwak IY, Broman KW, Boris S, Ivan B, Brian PD, Matthew EH, Edgar PS (2022) Leveraging orthology within maize and Arabidopsis QTL to identify genes affecting natural variation in gravitropism, Proceedings of the National Academy of Sciences of the United States of America, 119 (40) e2212199119.
Choi H, Jung C, Kang T, Kim H, Kwak IY (2022) Explainable Time-series Prediction using a Residual Network and Gradient-based Methods, IEEE Access, 10, 108469 - 108482
Kwak IY, Kim KS, Min HJ (2022) Differential effect of meteorological factors and particulate matter with ≤ 10-µm diameter on epistaxis in younger and older children, Scientific Reports, 12, 21029.
2021 Kwak IY, Kwag S, Lee J, Huh JH, Lee
CH, Jeon Y, Hwang J, Yoon J (2021) ResMax: Detecting Voice Spoofing
Attacks with Residual Network and Max Feature
Map The
25th International Conference on Pattern Recognition (ICPR 2020), Milan, Italy, 2021, 4837-4844 Lee Y, Lim S, Kwak IY (2021) CNN-Based Acoustic Scene Classification System, Electronics, 10(4), 371,
Kim K, Kwak IY, Min H (2021) Particulate Matter 10 (PM10) Is Associated with Epistaxis in Children and Adults, International Journal of Environmental Research and Public Health, 18(9), 4809,
Gong W, Granados A, Hu J, Jones M, Raz O, Martinez IS, Zhang H, Chow KK, Kwak IY, Retkute R, Prusokas A, Prusokas A, Khodaverdian A, Zhang R, Wang R, Rao S, Rennert P, Saipradeep V, Naveen S, Joseph T, Rao A, Srinivasan R, Peng J, Han L, Shang X, Garry DJ, Yu T, Chung V, Mason M, Liu Z, Guan Y, Yosef N, Shendure J, Telford M, Shapiro E, Elowitz MB, Meyer P. (2021) Benchmarked approaches for cell lineage reconstructions of in vitro dividing cells and in silico models of Caenorhabditis elegans and Mus musculus developmental trees, Cell Systems, 12, 1-17.
Park J, Kwak IY, Lim C (2021) A Deep Learning Model with Self-Supervised Learning and Attention Mechanism for COVID-19 Diagnosis Using Chest X-ray Images, Electronics, 10(16), 1996,
Won H, Kim B, Kwak IY, Lim C (2021) Transfer Learning followed by Transformer for Automated Audio Captioning, Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021) , Online.
2020 Yoon HY, Kwak IY (2020) Association Modeling on Keyword and Abstract Data in Korean Port Research, Journal of Korea Trade, 25 (5), 71-86
Ahmed E, Kwak IY, Huh JH, Kim I, Oh T, Kim H (2020) Void: A fast and light voice liveness detection system. The 29th USENIX Security Symposium (USENIX Security), Boston, USA, 2020 2019Kwak IY, Huh J, Kim I, Han S, Yoon J. (2019) Voice Presentation Attack Detection through Text Converted Voice Command Analysis, Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI 2019) Paper No. 598. Glassgow, UK, 2020 Magli A, Baik J, Pota P, Cordero CO, Kwak IY, Garry DJ, Love PE, Dynlacht BD, Perlingeiro R (2019) Pax3 cooperates with Ldb1 to direct local chromosome architecture during myogenic lineage specification, Nature Communications, 10, 2316 Magli A, Baik J, Mills LJ, Kwak IY, Dillon BS, Gonzalez RM, Stafford DA, Swanson SA, Stewart R, Thomson JA, Garry DJ, Dynlacht BD, Perlingeiro R (2019) Time-dependent Pax3-mediated chromatin remodeling and cooperation with Six4 and Tead2 specify the skeletal myogenic lineage in developing mesoderm, PLoS biology, 17 (2), e3000153 2018Gong W, Kwak IY(co-1st author), Pota P, Koyano-Nakagawa N, Garry DJ. (2018) DrImpute: imputing dropout events in single cell RNA sequencing data, BMC Bioinformatics 19:220 Gong W, Kwak IY, Koyano-Nakagawa N, Pan W, Garry DJ. (2018) TCM visualizes trajectories and cell populations from single cell data. Nature Communications. 9(1), 2749 2017Kwak IY, Pan W. (2017)
Gene- and pathway-based association tests for multiple
traits with GWAS summary statistics, Bioinformatics, 33(1), 64-71 Chen Z, Zhu W, Bender I, Gong W, Kwak IY, Yellamilli A, Hodges TJ, Nemoto N, Zhang J, Garry DJ, Berlo JH (2017) Pathologic Stimulus Determines Lineage Commitment of Cardiac C-kit+ Cells. Circulation, circulationaha. 117.030137 2016 Wei P, Cao Y, Zhang Y, Kwak IY, Xu Z, Crosby J, Boerwinkle E, Pan W. (2016) On Robust Association Testing
for Quantitative Traits and Rare Variants. G3 6(12), 3941-3950 Kwak IY, Pan W. (2016)
Adaptive gene- and pathway-trait association testing with GWAS summary statistics. Bioinformatics, 32(8):1178-1184 2015Pan W, Kwak IY, Wei P. (2015)
A powerful pathway-based adaptive test for genetic association with common or rare variants. The American Journal of Human Genetics, 97(1):86-98 Kwak IY, Moore CR, Spalding EP, Broman KW. (2015)
Mapping quantitative trait loci underlying function-valued traits using functional principal component analysis and multi-trait mapping. G3, 6(1):79-86 2014Kwak IY, Moore CR, Spalding EP,Broman KW. (2014)
A simple regression-based method to map quantitative trait loci underlying
function-valued phenotypes. Genetics, 197(4):1409-1416 2013Moore CR, Johnson LS, Kwak IY, Livny M, Broman KW, Spalding EP (2013) High-throughput computer vision introduces the time axis to a quantitative trait map of a plant growth response. Genetics 195(3):1077-1086 2010Billings T, Sargent EE, Szatkiewicz JP, Leahy N, Kwak IY, Bektassova N, Walker M, Hassold T, Graber JH, Broman KW, Petkov PM (2010) Patterns of recombination activity on mouse chromosome 11 revealed by high resolution mapping. PLoS One 5:e15340 2008Kwak IY and
Huh MH (2008) Parallel Coordinate Plots of Mixed-Type
Data. The
Korean Communications in Statistics 15,
587 - 595 Kwak IY and
Huh MH (2008) Andrews’ Plots for Extended
Uses. The
Korean Communications in Statistics 15,
87 - 94 |