Jongpil Lee
Jongpil Lee
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
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
1262017
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
1002017
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
872018
Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms
T Kim, J Lee, J Nam
ICASSP, 2018
612018
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
382019
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
372018
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
372017
Representation Learning of Music Using Artist Labels
J Park, J Lee, J Park, JW Ha, J Nam
ISMIR, 2018
362018
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
202017
Zero-shot learning for audio-based music classification and tagging
J Choi, J Lee, J Park, J Nam
ISMIR, 2019
192019
Deep content-user embedding model for music recommendation
J Lee, K Lee, J Park, J Park, J Nam
arXiv preprint arXiv:1807.06786, 2018
122018
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
92017
Disentangled Multidimensional Metric Learning for Music Similarity
J Lee, NJ Bryan, J Salamon, Z Jin, J Nam
ICASSP, 2020
52020
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
52019
A Hybrid of Deep Audio Feature and i-vector for Artist Recognition
J Park, D Kim, J Lee, S Kum, J Nam
ICML, Joint Workshop on Machine Learning for Music, 2018
52018
Cross-cultural Transfer Learning Using Sample-level Deep Convolutional Neural Networks
J Lee, J Park, J Nam, C Kim, A Kim, J Park, JW Ha
Music Information Retrieval Evaluation EXchange (MIREX 2017), 2017
52017
Representation Learning of Music Using Artist, Album, and Track Information
J Lee, J Park, J Nam
ICML, Machine Learning for Music Discovery Workshop, 2019
32019
A Cross-Scape Plot Representation for Visualizing Symbolic Melodic Similarity
S Park, T Kwon, J Lee, J Kim, J Nam
ISMIR, 2019
32019
Building K-POP Singing Voice Tag Dataset: A Progress Report
KHL Kim, S Kum, CL Park, J Lee, J Park, J Nam
ISMIR, Late-Breaking/Demo, 2017
32017
Metric Learning vs Classification for Disentangled Music Representation Learning
J Lee, NJ Bryan, J Salamon, Z Jin, J Nam
ISMIR, 2020
22020
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Articles 1–20