| Aasist: Audio anti-spoofing using integrated spectro-temporal graph attention networks J Jung, HS Heo, H Tak, H Shim, JS Chung, BJ Lee, HJ Yu, N Evans IEEE ICASSP 2022, 6367-6371, 2022 | 169 | 2022 |
| RawNet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification J Jung, HS Heo, J Kim, H Shim, HJ Yu ISCA Interspeech 2019, 2019 | 139 | 2019 |
| End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection H Tak, J Jung, J Patino, M Kamble, M Todisco, N Evans ASVspoof Workshop 2021 (ISCA Interspeech 2021 satellite), 2021 | 109 | 2021 |
| Improved RawNet with Feature Map Scaling for Text-independent Speaker Verification using Raw Waveforms J Jung*, S Kim*, H Shim, J Kim, HJ Yu ISCA Interspeech 2020, 1496-1500, 2020 | 106 | 2020 |
| Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation H Tak, M Todisco, X Wang, J Jung, J Yamagishi, N Evans ISCA Speaker Odyssey 2022, 2022 | 81 | 2022 |
| A COMPLETE END-TO-END SPEAKER VERIFICATION SYSTEM USING DEEP NEURAL NETWORKS: FROM RAW SIGNALS TO VERIFICATION RESULT J Jung, HS Heo, I Yang, H Shim, HJ Yu IEEE ICASSP 2018, 2018 | 73 | 2018 |
| Pushing the limits of raw waveform speaker verification J Jung*, YJ Kim*, HS Heo, BJ Lee, Y Kwon, JS Chung ISCA Interspeech 2022, 2022 | 64* | 2022 |
| Replay attack detection with complementary high-resolution information using end-to-end DNN for the ASVspoof 2019 Challenge J Jung*, H Shim*, HS Heo, HJ Yu ISCA Interspeech 2019, 2019 | 53 | 2019 |
| Graph Attention Networks for Anti-Spoofing H Tak, J Jung, J Patino, M Todisco, N Evans ISCA Interspeech 2021, 2021 | 51 | 2021 |
| Avoiding Speaker Overfitting in End-to-End DNNs using Raw Waveform for Text-Independent Speaker Verification JW Jung, HS Heo, ILH Yang, HJ Shim, HJ Yu ISCA Interspeech 2018, 2018 | 51 | 2018 |
| SASV Challenge 2022: A Spoofing Aware Speaker Verification Challenge Evaluation Plan J Jung, H Tak, H Shim, HS Heo, BJ Lee, SW Chung, HG Kang, HJ Yu, ... arXiv preprint arXiv:2201.10283, 2022 | 44 | 2022 |
| Knowledge Distillation in Acoustic Scene Classification JW Jung, HS Heo, HJ Shim, HJ Yu IEEE Access 8, 166870-166879, 2020 | 42 | 2020 |
| Short utterance compensation in speaker verification via cosine-based teacher-student learning of speaker embeddings J Jung*, H Heo*, H Shim, H Yu IEEE ASRU 2019, 2018 | 39 | 2018 |
| SASV 2022: The First Spoofing-Aware Speaker Verification Challenge J Jung*, H Tak*, H Shim, HS Heo, BJ Lee, SW Chung, HJ Yu, N Evans, ... ISCA Interspeech 2022, 2022 | 31 | 2022 |
| Acoustic scene classification using teacher-student learning with soft-labels HS Heo*, J Jung*, H Shim, HJ Yu ISCA Interspeech 2019, 2019 | 27 | 2019 |
| End-to-end losses based on speaker basis vectors and all-speaker hard negative mining for speaker verification HS Heo, J Jung, ILH Yang, SH Yoon, H Shim, HJ Yu ISCA Interspeech 2019, 2019 | 27 | 2019 |
| Graph Attention Networks for Speaker Verification J Jung*, HS Heo*, HJ Yu, JS Chung IEEE ICASSP 2021, 2021 | 26 | 2021 |
| DCASENET: An integrated pre-trained deep neural network for detecting and classifying acoustic scenes and events J Jung, H Shim, J Kim, HJ Yu IEEE ICASSP 2021, 2021 | 23 | 2021 |
| Replay spoofing detection system for automatic speaker verification using multi-task learning of noise classes HJ Shim, JW Jung, HS Heo, SH Yoon, HJ Yu 2018 Conference on Technologies and Applications of Artificial Intelligence …, 2018 | 22 | 2018 |
| D-vector based speaker verification system using Raw Waveform CNN J Jung, H Heo, I Yang, S Yoon, H Shim, H Yu 2017 International Seminar on Artificial Intelligence, Networking and …, 2017 | 20 | 2017 |
Hye-jin ShimCarnegie Mellon UniversityVerified email at andrew.cmu.edu
