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 | 168 | 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 Proc. Interspeech 2020, 1496-1500, 2020 | 139 | 2020 |
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 | 29 | 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 |
WavelNet: A novel convolutional neural network architecture for arrhythmia classification from electrocardiograms N Kim, W Seo, J Kim, SY Choi, SM Park Computer Methods and Programs in Biomedicine 231, 107375, 2023 | 20 | 2023 |
Integrated replay spoofing-aware text-independent speaker verification H Shim, J Jung, J Kim, H Yu Applied Sciences 10 (18), 6292, 2020 | 20 | 2020 |
Extended U-Net for Speaker Verification in Noisy Environments J Kim, J Heo, H Shim, HJ Yu ISCA Interspeech 2022, 2022 | 15 | 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 | 14 | 2022 |
Acoustic scene classification using audio tagging J Jung, H Shim, J Kim, S Kim, HJ Yu ISCA Interspeech 2020, 2020 | 12 | 2020 |
Audio tagging and deep architectures for acoustic scene classification: Uos submission for the DCASE 2020 challenge HJ Shim, JH Kim, JW Jung, H Yu Proceedings of the DCASE2020 Challenge, Virtually, 2-4, 2020 | 8 | 2020 |
Two methods for spoofing-aware speaker verification: Multi-layer perceptron score fusion model and integrated embedding projector J Heo, J Kim, H Shin ISCA Interspeech 2022, 2022 | 7 | 2022 |
α-feature map scaling for raw waveform speaker verification J Jung, H Shim, J Kim, HJ Yu The Journal of the Acoustical Society of Korea 39 (5), 441-446, 2020 | 7 | 2020 |
Audio Tag Representation Guided Dual Attention Network for Acoustic Scene Classification. J Kim, J Jung, H Shim, H Yu DCASE, 76-80, 2020 | 7 | 2020 |
Segment aggregation for short utterances speaker verification using raw waveforms S Kim, J Jung, H Shim, J Kim, HJ Yu arXiv preprint arXiv:2005.03329, 2020 | 6 | 2020 |
Selective Deep Speaker Embedding Enhancement for Speaker Verification J Jung, J Kim, H Shim, S Kim, HJ Yu Proc. Odyssey 2020 The Speaker and Language Recognition Workshop, 171-178, 2020 | 6 | 2020 |
A supervised learning method for improving the generalization of speaker verification systems by learning metrics from a mean teacher JH Kim, HJ Shim, JW Jung, HJ Yu Applied Sciences 12 (1), 76, 2021 | 5* | 2021 |
Capturing discriminative information using a deep architecture in acoustic scene classification H Shim, J Jung, J Kim, H Yu Applied Sciences 11 (18), 8361, 2021 | 5 | 2021 |
Convolution channel separation and frequency sub-bands aggregation for music genre classification J Heo, H Shin, J Kim, C Lim, HJ Yu arXiv preprint arXiv:2211.01599, 2022 | 4 | 2022 |
Attentive max feature map for acoustic scene classification with joint learning considering the abstraction of classes H Shim, J Kim, J Jung, HJ Yu OSF Preprints, 2021 | 4 | 2021 |
Capturing scattered discriminative information using a deep architecture in acoustic scene classification H Shim, J Jung, J Kim, H Yu arXiv preprint arXiv:2007.04631, 2020 | 4 | 2020 |