| 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 | 144 | 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 | 63 | 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 | 49 | 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 | 34 | 2018 |
| Clova baseline system for the voxceleb speaker recognition challenge 2020 HS Heo, BJ Lee, J Huh, JS Chung arXiv preprint arXiv:2009.14153, 2020 | 33 | 2020 |
| 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 | 26 | 2019 |
| 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 | 23 | 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 | 19 | 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 | 18 | 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 | 16 | 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 |
| 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 | 14 | 2017 |
| DNN based multi-level feature ensemble for acoustic scene classification J Jung, H Heo, H Shim, H Yu Proceedings of the Detection and Classification of Acoustic Scenes and …, 2018 | 13 | 2018 |
| 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 | 12 | 2018 |
| Knowledge distillation in acoustic scene classification JW Jung, HS Heo, HJ Shim, HJ Yu IEEE Access 8, 166870-166879, 2020 | 10 | 2020 |
| Distilling the knowledge of specialist deep neural networks in acoustic scene classification J Jung, HS Heo, H Shim, HJ Yu | 10 | 2019 |
| Metric learning for keyword spotting J Huh, M Lee, H Heo, S Mun, JS Chung 2021 IEEE Spoken Language Technology Workshop (SLT), 133-140, 2021 | 8 | 2021 |
| Knowledge distillation with specialist models in acoustic scene classification J Jung, HS Heo, H Shim, HJ Yu Detection and Classification of Acoustic Scenes and Events 2019, 5-7, 2019 | 8 | 2019 |
| D-vector based speaker verification system using Raw Waveform CNN J Jung, H Heo, I Yang, S Yoon, H Shim, H Yu Proceedings of the 2017 international seminar on artificial intelligence …, 2017 | 8 | 2017 |
| Applying compensation techniques on i-vectors extracted from short-test utterances for speaker verification using deep neural network ILH Yang, HS Heo, SH Yoon, HJ Yu 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 8 | 2017 |
Ha-Jin YuSchool of Computer Science, University of SeoulVerified email at uos.ac.kr
