About me



Research Interests

  • Music Information Retrieval
  • Deep learning


Journals

SampleCNN: End-to-End Deep Convolutional Neural Networks Using Very Small Filters for Music Classification

Jongpil Lee, Jiyoung Park, Keunhyoung Luke Kim and Juhan Nam
Applied Sciences, 2018

Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging

Jongpil Lee, Juhan Nam
IEEE Signal Processing Letters, 2017


Exhibitions

NEUROSCAPE: Artificial Soundscape Based on Multimodal Connections of Deep Neural Networks

Seungsoon Park, Jongpil Lee and Juhan Nam
International Computer Music Conference (ICMC), 2018


Conferences, Workshops, Challenges, Demos

Representation Learning of Music Using Artist Labels

Jiyoung Park*, Jongpil Lee*, Jangyeon Park, Jung-Woo Ha and Juhan Nam
International Society of Music Information Retrieval Conference (ISMIR), 2018 (Accepted)
* Equally contributed

A Hybrid of Deep Audio Feature and i-vector for Artist Recognition

Jiyoung Park, Donghyun Kim, Jongpil Lee, Sangeun Kum and Juhan Nam
Joint Workshop on Machine Learning for Music, International Conference on Machine Learning (ICML), 2018 (Accepted)

Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms

Taejun Kim, Jongpil Lee and Juhan Nam
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018

Raw Waveform-based Audio Classification Using Sample-level CNN Architectures

Jongpil Lee, Taejun Kim, Jiyoung Park and Juhan Nam
Machine Learning for Audio Signal Processing Workshop, Neural Information Processing Systems (NIPS), 2017

Building K-POP Singing Voice Tag Dataset: A Progress Report

KeunHyoung Luke Kim, Sangeun Kum, Chae Lin Park, Jongpil Lee, Jiyoung Park and Juhan Nam
Late-Breaking/Demo Session of International Society of Music Information Retrieval Conference (ISMIR), 2017

MUSIC GALAXY HITCHHIKER: 3D Web Music Navigation Through Audio Space Trained with Tag and Artist Labels

Dongwoo Suh, Kyungyun Lee, Jongpil Lee, Jiyoung Park and Juhan Nam
Late-Breaking/Demo Session of International Society of Music Information Retrieval Conference (ISMIR), 2017

Cross-cultural Transfer Learning Using Sample-level Deep Convolutional Neural Networks

Jongpil Lee, Jiyoung Park, Chanju Kim, Adrian Kim, Jangyeon Park, Jung-Woo Ha and Juhan Nam
Music Information Retrieval Evaluation eXchange (MIREX), 2017
1st place in the four K-POP tasks across all algorithms submitted so far

Representation Learning Using Artist labels for Audio Classification Tasks

Jiyoung Park, Jongpil Lee, Jangyeon Park, Jung-Woo Ha and Juhan Nam
Music Information Retrieval Evaluation eXchange (MIREX), 2017
1st place in the Music Mood Classification task across all algorithms submitted so far

Combining Multi-Scale Features Using Sample-level Deep Convolutional Neural Networks for Weakly Supervised Sound Event Detection

Jongpil Lee, Jiyoung Park, Sangeun Kum, Youngho Jeong and Juhan Nam
Proceedings of the 2nd Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE), 2017

Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification

Jongpil Lee, Juhan Nam
Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML), 2017

Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms

Jongpil Lee, Jiyoung Park, Keunhyoung Luke Kim, Juhan Nam
Sound and Music Computing Confenrence (SMC), 2017

The Effect of DJs’ Social Network on Music Popularity

Hyeongseok Wi, Kyung hoon Hyun, Jongpil Lee, Wonjae Lee
International Computer Music Conference (ICMC), 2016


Education


Experience

  • 2017. Summer Research Intern, Naver corp, Korea


Contact

  • jongpillee.brian (at) gmail.com
  • richter (at) kaist.ac.kr