Jung, Jee-weon

AASIST: Audio Anti-Spoofing Using Integrated Spectro-Temporal Graph Attention Networks

Jung, J.-W., Heo, H.-S., Tak, H., Shim, H.-J., Chung, J. S., Lee, B.-J., Yu, H.-J., & Evans, N. (2022) · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 399

Automatic Speaker Verification Spoofing and Deepfake Detection Using Wav2vec 2.0 and Data Augmentation

Tak, H., Todisco, M., Wang, X., Jung, J.-W., Yamagishi, J., & Evans, N. (2022) · The Speaker and Language Recognition Workshop (Odyssey 2022)

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 237

End-to-end spectro-temporal graph attention networks for speaker verification anti-spoofing and speech deepfake detection

Tak, H., Jung, J.-W., Patino, J., Kamble, M., Todisco, M., & Evans, N. (2021) · 2021 Edition of the Automatic Speaker Verification and Spoofing Countermeasures Challenge

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 197

RawNet: Advanced End-to-End Deep Neural Network Using Raw Waveforms for Text-Independent Speaker Verification

Jung, J.-W., Heo, H.-S., Kim, J.-H., Shim, H.-J., & Yu, H.-J. (2019) · Interspeech 2019

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 166

Improved RawNet with Feature Map Scaling for Text-Independent Speaker Verification Using Raw Waveforms

Jung, J.-W., Kim, S.-B., Shim, H.-J., Kim, J.-H., & Yu, H.-J. (2020) · Interspeech 2020

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 109

ASVspoof 5: crowdsourced speech data, deepfakes, and adversarial attacks at scale

Wang, X., Delgado, H., Tak, H., Jung, J.-W., Shim, H.-J., Todisco, M., Kukanov, I., Liu, X., Sahidullah, M., Kinnunen, T. H., et al. (2024) · The Automatic Speaker Verification Spoofing Countermeasures Workshop (ASVspoof 2024)

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 101

ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Wang, X., Delgado, H., Tak, H., Jung, J.-W., Shim, H.-J., Todisco, M., Kukanov, I., Liu, X., Sahidullah, M., Kinnunen, T., et al. (2024) · arXiv

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 100

Graph Attention Networks for Anti-Spoofing

Tak, H., Jung, J.-W., Patino, J., Todisco, M., & Evans, N. (2021) · Interspeech 2021

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 79

SASV 2022: The First Spoofing-Aware Speaker Verification Challenge

Jung, J.-W., Tak, H., Shim, H.-J., Heo, H.-S., Lee, B.-J., Chung, S.-W., Yu, H.-J., Evans, N., & Kinnunen, T. (2022) · Interspeech 2022

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 56

ASVspoof 5: Design, collection and validation of resources for spoofing, deepfake, and adversarial attack detection using crowdsourced speech

Wang, X., Delgado, H., Tak, H., Jung, J.-W., Shim, H.-J., Todisco, M., Kukanov, I., Liu, X., Sahidullah, M., Kinnunen, T., et al. (2026) · Computer Speech & Language

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 30

a-DCF: an architecture agnostic metric with application to spoofing-robust speaker verification

Shim, H.-J., Jung, J.-W., Kinnunen, T., Evans, N., Bonastre, J.-F., & Lapidot, I. (2024) · The Speaker and Language Recognition Workshop (Odyssey 2024)

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 14

Towards single integrated spoofing-aware speaker verification embeddings

Mun, S. H., Shim, H.-J., Tak, H., Wang, X., Liu, X., Sahidullah, M., Jeong, M., Han, M. H., Todisco, M., Lee, K. A., et al. (2023) · INTERSPEECH 2023

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 9

To what extent can ASV systems naturally defend against spoofing attacks?

Jung, J.-W., Wang, X., Evans, N., Watanabe, S., Shim, H.-J., Tak, H., Arora, S., Yamagishi, J., & Chung, J. S. (2024) · Interspeech 2024

Speech Recognition and SynthesisAdversarial Robustness in Machine Learning

Cited by 7