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Ju-ho Kim
Ju-ho Kim
Samsung Research
Verified email at samsung.com
Title
Cited by
Cited by
Year
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
1682019
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
1392020
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
292022
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
272021
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
202023
Integrated replay spoofing-aware text-independent speaker verification
H Shim, J Jung, J Kim, H Yu
Applied Sciences 10 (18), 6292, 2020
202020
Extended U-Net for Speaker Verification in Noisy Environments
J Kim, J Heo, H Shim, HJ Yu
ISCA Interspeech 2022, 2022
152022
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
142022
Acoustic scene classification using audio tagging
J Jung, H Shim, J Kim, S Kim, HJ Yu
ISCA Interspeech 2020, 2020
122020
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
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
72022
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
72020
Audio Tag Representation Guided Dual Attention Network for Acoustic Scene Classification.
J Kim, J Jung, H Shim, H Yu
DCASE, 76-80, 2020
72020
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
62020
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
62020
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
52021
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
42022
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
42021
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
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Articles 1–20