| Neural Audio Fingerprint for High-specific Audio Retrieval based on Contrastive Learning S Chang, D Lee, J Park, H Lim, K Lee, K Ko, Y Han 2021 IEEE International Conference on Acoustics, Speech and Signal …, 2021 | 35 | 2021 |
| Audio Cover Song Identification using Convolutional Neural Network S Chang, J Lee, SK Choe, K Lee NeurIPS 2017 Workshop on Machine Learning for Audio, Long Beach, CA, USA, 2017 | 26 | 2017 |
| A pairwise approach to simultaneous onset/offset detection for singing voice using correntropy S Chang, K Lee 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 20 | 2014 |
| Lyrics-to-audio alignment by unsupervised discovery of repetitive patterns in vowel acoustics S Chang, K Lee IEEE Access 5, 16636-16648, 2017 | 17 | 2017 |
| Cover song identification using song-to-song cross-similarity matrix with convolutional neural network J Lee, S Chang, SK Choe, K Lee 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 15 | 2018 |
| Classification of Smartphone Game based on Mechanics Y Chun, S Chang, T Woo Journal of Korea Game Society 12 (6), 15-24, 2012 | 9 | 2012 |
| Sequential Skip Prediction with Few-shot in Streamed Music Contents S Chang, S Lee, K Lee WSDM Cup Workshop, 12th ACM International Conference on Web Search and Data …, 2019 | 8 | 2019 |
| Covernet: Cover Song Identification Using Cross-Similarity Matrix With Convolutional Neural Network J Lee, S Chang, D Lee, K Lee Music Information Retrieval Evaluation eXchange (MIREX 2018), 2018 | 2* | 2018 |
| An Interface for Sonification of Mood State in Twitter J Oh, S Chang, M Kim, K Lee HCI 2011, Korea, 140-143, 2011 | 2* | 2011 |
| YourMT3: a toolkit for training multi-task and multi-track music transcription model for everyone S Chang, S Dixon, E Benetos Digital Music Research Network One-day Workshop (DMRN+17), 2022 | | 2022 |
| Offline Clustering Approach to Self-supervised Learning for Class-imbalanced Image Data H Chang, S Chang arXiv preprint arXiv:2212.11444, 2022 | | 2022 |
| Saliency-driven model for perceptual audio onset detection S Chang, K Lee The 13th International Conference on Music Perception and Cognition (ICMPC …, 2014 | | 2014 |
| Modeling Tonal Tension in Music Signals S Chang Graduate School of Convergence Science and Technology, Seoul National University, 2013 | | 2013 |
| Classification of Male/Female Singing Voice in Mixed Audio Signals by Probabilistic Latent Component Analysis and Gaussian Mixture Models S Chang, K Lee The 2nd Conference on Pioneering Convergence Technologies, 2012 | | 2012 |
| The Korean Traditional Music Ontology (KTMO)-An Ontology for the Korean Traditional Music Linked Data S Choe, Y Hwang, S Chang, M Kim The 3rd International Conference on Internet (ICONI 2011), Sepang, Malaysia …, 2011 | | 2011 |
| Sonification of mood state in twitter based on ANEW analysis S Chang, J Oh, K Lee The 1st Conference on Pioneering Convergence Technologies, 2011 | | 2011 |
| MixPlore: a digital performance using tangible user interfaces based on cocktail mixology Z Lee, S Chang, CY Lim International Journal of Arts and Technology 4 (2), 133-154, 2011 | | 2011 |
| MixPlore: A Cocktail-Based Media Performance Using Tangible User Interfaces Z Lee, S Chang, CY Lim Lecture Notes of the Institute for Computer Sciences, Social Informatics and …, 2010 | | 2010 |
| Liquid Media: The Ripple of Emotion Z Lee, S Chang, JG Lee https://ccrma.stanford.edu/~zune/sources/projects/Liquid/Ripple.files/Liquid.pdf, 2004 | | 2004 |
Kyogu LeeProfessor, Seoul National UniversityVerified email at snu.ac.kr
