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Ju-ho Kim
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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
862019
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
47*2020
Integrated replay spoofing-aware text-independent speaker verification
H Shim, J Jung, J Kim, H Yu
Applied Sciences 10 (18), 6292, 2020
132020
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
102021
Acoustic scene classification using audio tagging
J Jung, H Shim, J Kim, S Kim, HJ Yu
arXiv preprint arXiv:2003.09164, 2020
92020
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
82020
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
62022
Audio Tag Representation Guided Dual Attention Network for Acoustic Scene Classification.
J Kim, J Jung, H Shim, H Yu
DCASE, 76-80, 2020
62020
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
42020
Attentive max feature map for acoustic scene classification with joint learning considering the abstraction of classes
H Shim, J Kim, J Jung, HJ Yu
arXiv preprint arXiv:2104.07213, 2021
32021
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
32020
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
32020
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
22021
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
22020
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
12022
Two Methods for Spoofing-Aware Speaker Verification: Multi-Layer Perceptron Score Fusion Model and Integrated Embedding Projector
J Heo, J Kim, H Shin
arXiv preprint arXiv:2206.13807, 2022
2022
Extended U-Net for Speaker Verification in Noisy Environments
J Kim, J Heo, H Shim, HJ Yu
arXiv preprint arXiv:2206.13044, 2022
2022
Integrated receptive field diversification method for improving speaker verification performance for variable-length utterances
H Shin, J Kim, J Heo, H Shim, HJ Yu
The Journal of the Acoustical Society of Korea 41 (3), 319-325, 2022
2022
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
2021
Segment unit shuffling layer in deep neural networks for text-independent speaker verification
J Heo, H Shim, J Kim, HJ Yu
The Journal of the Acoustical Society of Korea 40 (2), 148-154, 2021
2021
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