| 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 arXiv preprint arXiv:1904.08104, 2019 | 86 | 2019 |
| 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 | 59 | 2018 |
| Avoiding speaker overfitting in end-to-end dnns using raw waveform for text-independent speaker verification JW Jung, HS Heo, IH Yang, HJ Shim, HJ Yu extraction 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 | 36 | 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 | 35 | 2022 |
| Improved rawnet with feature map scaling for text-independent speaker verification using raw waveforms J Jung, S Kim, H Shim, J Kim, HJ Yu arXiv preprint arXiv:2004.00526, 2020 | 31 | 2020 |
| 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 | 28 | 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 |
| 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 | 23 | 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 System 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 | 18 | 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 | 18 | 2017 |
| Improved rawnet with filter-wise rescaling for text-independent speaker verification using raw waveforms J Jung, S Kim, H Shim, J Kim, HJ Yu Proc. Interspeech, 1496-1500, 2020 | 17 | 2020 |
| 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 | 16 | 2018 |
| A new replay attack against automatic speaker verification systems SH Yoon, MS Koh, JH Park, HJ Yu IEEE Access 8, 36080-36088, 2020 | 15 | 2020 |
| DNN based multi-level feature ensemble for acoustic scene classification. J Jung, H Heo, H Shim, H Yu DCASE, 118-122, 2018 | 15 | 2018 |
| Fabric defect detection system using stacked convolutional denoising auto-encoders trained with synthetic defect data YJ Han, HJ Yu Applied Sciences 10 (7), 2511, 2020 | 14 | 2020 |
| Integrated replay spoofing-aware text-independent speaker verification H Shim, J Jung, J Kim, H Yu Applied Sciences 10 (18), 6292, 2020 | 13 | 2020 |
| Kernel multimodal discriminant analysis for speaker verification MS Kim, ILH Yang, HJ Yu 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 13 | 2010 |
Hye-jin ShimUniversity of SeoulVerified email at uos.ac.kr
