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 | 265 | 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 | 162 | 2019 |
Improved RawNet with Filter-wise Rescaling for Text-independent Speaker Verification using Raw Waveforms J Jung, S Kim, H Shim, J Kim, HJ Yu ISCA Interspeech 2020, 2020 | 130* | 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 IEEE ICASSP 2018, 2018 | 81 | 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 | 72 | 2022 |
Distilling the knowledge of specialist deep neural networks in acoustic scene classification J Jung, HS Heo, H Shim, HJ Yu Proceedings of the DCASE 2019 Workshop, 2019 | 56* | 2019 |
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, Interspeech, 2019 | 55 | 2019 |
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 | 55 | 2018 |
Short utterance compensation in speaker verification via cosine-based teacher-student learning of speaker embeddings J Jung, HS Heo, H Shim, HJ Yu IEEE ASRU 2019, 2019 | 44 | 2019 |
Acoustic scene classification using teacher-student learning with soft-labels HS Heo, J Jung, H Shim, HJ Yu ISCA Interspeech 2019, 2019 | 28 | 2019 |
RawNeXt: Speaker verification system for variable-duration utterances with deep layer aggregation and extended dynamic scaling policies J Kim, H Shim, J Heo, HJ Yu ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 27 | 2022 |
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 | 27 | 2021 |
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 |
Replay attack spoofing detection system using replay noise by multi-task learning H Shim, J Jung, H Heo, S Yoon, H Yu TAAI 2018, 2018 | 23* | 2018 |
D-vector based speaker verification system using Raw Waveform CNN J Jung, H Heo, I Yang, S Yoon, H Shim, H Yu ANIT 2017, 2017 | 23 | 2017 |
Integrated Replay Spoofing-aware Text-independent Speaker Verification H Shim, J Jung, J Kim, S Kim, HJ Yu Applied Sciences 10 (18), 6292, 2020 | 20 | 2020 |
DNN based multi-level features ensemble for acoustic scene classification J Jung, H Heo, H Shim, H Yu Proceedings of the DCASE 2018 Workshop, 113-117, 2018 | 20 | 2018 |
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 Proceedings of the DCASE 2017 Workshop, 2017 | 20 | 2017 |
Graph attentive feature aggregation for text-independent speaker verification H Shim*, J Heo*, JH Park, GH Lee, HJ Yu ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 17 | 2022 |
Attentive max feature map and joint training for acoustic scene classification H Shim, J Jung, J Kim, HJ Yu ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 16* | 2022 |