| In defence of metric learning for speaker recognition JS Chung, J Huh, S Mun, M Lee, HS Heo, S Choe, C Ham, S Jung, ... INTERSPEECH, 2020 | 219 | 2020 |
| 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 INTERSPEECH 2019, 2019 | 82 | 2019 |
| Clova baseline system for the voxceleb speaker recognition challenge 2020 HS Heo, BJ Lee, J Huh, JS Chung arXiv preprint arXiv:2009.14153, 2020 | 59 | 2020 |
| A complete end-to-end speaker verification system using deep neural networks: From raw signals to verification result JW Jung, HS Heo, IH Yang, HJ Shim, HJ Yu 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 58 | 2018 |
| 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 INTERSPEECH 2018 8 (12), 23-24, 2018 | 41 | 2018 |
| 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 arXiv preprint arXiv:1904.10134, 2019 | 35 | 2019 |
| 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 ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 34 | 2022 |
| 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 | 25 | 2022 |
| Short utterance compensation in speaker verification via cosine-based teacher-student learning of speaker embeddings J Jung, HS Heo, H Shim, HJ Yu 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 24 | 2019 |
| Augmentation adversarial training for unsupervised speaker recognition J Huh, HS Heo, J Kang, S Watanabe, JS Chung Workshop on Self-Supervised Learning for Speech and Audio Processing, NeurIPS, 2020 | 23 | 2020 |
| 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 arXiv preprint arXiv:1902.02455, 2019 | 22 | 2019 |
| Acoustic scene classification using teacher-student learning with soft-labels HS Heo, J Jung, H Shim, HJ Yu arXiv preprint arXiv:1904.10135, 2019 | 20 | 2019 |
| DNN-based audio scene classification for DCASE 2017: dual input features, balancing cost, and stochastic data duplication JW Jung, HS Heo, I Yang, SH Yoon, HJ Shim, HJ Yu DCASE 2017 workshop 4 (5), 2017 | 19 | 2017 |
| Knowledge distillation in acoustic scene classification JW Jung, HS Heo, HJ Shim, HJ Yu IEEE Access 8, 166870-166879, 2020 | 17 | 2020 |
| Joint Training of Expanded End-to-End DNN for Text-Dependent Speaker Verification. H Heo, J Jung, IL Yang, S Yoon, H Yu INTERSPEECH, 1532-1536, 2017 | 16 | 2017 |
| 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 | 15 | 2018 |
| DNN based multi-level feature ensemble for acoustic scene classification. J Jung, H Heo, H Shim, H Yu DCASE, 118-122, 2018 | 15 | 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 | 12 | 2017 |
| Graph attention networks for speaker verification J Jung, HS Heo, HJ Yu, JS Chung ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 11 | 2021 |
| Augmentation adversarial training for self-supervised speaker recognition J Huh, HS Heo, J Kang, S Watanabe, JS Chung arXiv preprint arXiv:2007.12085, 2020 | 11 | 2020 |
Ha-Jin YuSchool of Computer Science, University of SeoulVerified email at uos.ac.kr
