| 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 | 119 | 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 arXiv preprint arXiv:1904.08104, 2019 | 116 | 2019 |
| 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 | 85 | 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 | 66 | 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 | 50 | 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 | 46 | 2019 |
| Knowledge distillation in acoustic scene classification JW Jung, HS Heo, HJ Shim, HJ Yu IEEE Access 8, 166870-166879, 2020 | 42 | 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 | 39 | 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 | 31 | 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 | 26 | 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 | 26 | 2019 |
| A new replay attack against automatic speaker verification systems SH Yoon, MS Koh, JH Park, HJ Yu IEEE Access 8, 36080-36088, 2020 | 22 | 2020 |
| 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 | 21 | 2020 |
| DNN-Based Audio Scene Classification for DCASE2017: Dual Input Features, Balancing Cost, and Stochastic Data Duplication. JW Jung, HS Heo, ILH Yang, SH Yoon, HJ Shim, HJ Yu DCASE, 59-63, 2017 | 21 | 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 | 20 | 2021 |
| DCASENet: An integrated pretrained deep neural network for detecting and classifying acoustic scenes and events J Jung, H Shim, J Kim, HJ Yu ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 20 | 2021 |
| 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 | 20 | 2017 |
| 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, ... arXiv preprint arXiv:2203.14732, 2022 | 19 | 2022 |
| 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 | 19 | 2018 |
| DNN based multi-level feature ensemble for acoustic scene classification. J Jung, H Heo, H Shim, H Yu DCASE, 118-122, 2018 | 18 | 2018 |
Hye-jin ShimUniversity of Eastern FinlandVerified email at uef.fi
