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Jongpil Lee
Jongpil Lee
Neutune (Mix.audio)
neutune.com의 이메일 확인됨 - 홈페이지
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Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms
J Lee, J Park, KL Kim, J Nam
Proc. 14th Int. Conf. Sound and Music Computing Conference (SMC), 2017
2112017
SampleCNN: End-to-end deep convolutional neural networks using very small filters for music classification
J Lee, J Park, KL Kim, J Nam
Applied Sciences 8 (1), 150, 2018
1532018
Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging
J Lee, J Nam
IEEE Signal Processing Letters 24 (8), 1208-1212, 2017
1452017
Deep learning for audio-based music classification and tagging: Teaching computers to distinguish rock from bach
J Nam, K Choi, J Lee, SY Chou, YH Yang
IEEE Signal Processing Magazine 36 (1), 41-51, 2018
1062018
Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms
T Kim, J Lee, J Nam
ICASSP, 2018
1042018
Raw Waveform-based Audio Classification Using Sample-level CNN Architectures
J Lee, T Kim, J Park, J Nam
NIPS, Machine Learning for Audio Signal Processing Workshop (ML4Audio), 2017
852017
Comparison and analysis of SampleCNN architectures for audio classification
T Kim, J Lee, J Nam
IEEE Journal of Selected Topics in Signal Processing 13 (2), 285-297, 2019
842019
Representation Learning of Music Using Artist Labels
J Park, J Lee, J Park, JW Ha, J Nam
ISMIR, 2018
632018
Zero-shot learning for audio-based music classification and tagging
J Choi, J Lee, J Park, J Nam
ISMIR, 2019
452019
Metric Learning vs Classification for Disentangled Music Representation Learning
J Lee, NJ Bryan, J Salamon, Z Jin, J Nam
ISMIR, 2020
352020
Disentangled Multidimensional Metric Learning for Music Similarity
J Lee, NJ Bryan, J Salamon, Z Jin, J Nam
ICASSP, 2020
282020
Combining Multi-scale Features Using Sample-level Deep Convolutional Neural Networks for Weakly Supervised Sound Event Detection
J Lee, J Park, S Kum, Y Jeong, J Nam
DCASE2017 Challenge/Workshop, 2017
192017
Deep content-user embedding model for music recommendation
J Lee, K Lee, J Park, J Park, J Nam
arXiv preprint arXiv:1807.06786, 2018
182018
Semantic tagging of singing voices in popular music recordings
KL Kim, J Lee, S Kum, CL Park, J Nam
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1656-1668, 2020
152020
Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification
J Lee, J Nam
ICML, Machine Learning for Music Discovery Workshop, 2017
142017
A Cross-Scape Plot Representation for Visualizing Symbolic Melodic Similarity
S Park, T Kwon, J Lee, J Kim, J Nam
ISMIR, 2019
112019
Pseudo-Label Transfer From Frame-Level To Note-Level In A Teacher-Student Framework for Singing Transcription From Polyphonic Music
S Kum, J Lee, KL Kim, T Kim, J Nam
ICASSP, 2022
92022
Representation Learning of Music Using Artist, Album, and Track Information
J Lee, J Park, J Nam
ICML, Machine Learning for Music Discovery Workshop, 2019
92019
Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging
J Choi, J Lee, J Park, J Nam
ICML, Machine Learning for Music Discovery Workshop, 2019
62019
Searching for music
JP Lee, NJ Bryan, JJ Salamon, Z Jin
US Patent 11,461,649, 2022
52022
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