| The MTG-Jamendo dataset for automatic music tagging D Bogdanov, M Won, P Tovstogan, A Porter, X Serra Machine Learning for Music Discovery Workshop, ICML 2019, 2019 | 209 | 2019 |
| Evaluation of CNN-based Automatic Music Tagging Models M Won, A Ferraro, D Bogdanov, X Serra Proceedings of 17th Sound and Music Computing (SMC), 2020 | 122 | 2020 |
| Data-driven Harmonic Filters for Audio Representation Learning M Won, S Chun, O Nieto, X Serra ICASSP 2020, 2020 | 88 | 2020 |
| Toward interpretable music tagging with self-attention M Won, S Chun, X Serra arXiv preprint arXiv:1906.04972, 2019 | 70 | 2019 |
| Semi-supervised Music Tagging Transformer M Won, K Choi, X Serra International Society for Music Information Retrieval (ISMIR), 2021 | 58 | 2021 |
| Multimodal Metric Learning for Tag-based Music Retrieval M Won, S Oramas, O Nieto, F Gouyon, X Serra ICASSP 2021, 2020 | 53 | 2020 |
| SpecTNT: a time-frequency transformer for music audio WT Lu, JC Wang, M Won, K Choi, X Song International Society for Music Information Retrieval (ISMIR), 2021 | 52 | 2021 |
| MediaEval 2019: Emotion and theme recognition in music using Jamendo D Bogdanov, A Porter, P Tovstogan, M Won Larson M, Hicks S, Constantin MG, Bischke B, Porter A, Zhao P, Lux M …, 2019 | 50 | 2019 |
| Modeling beats and downbeats with a time-frequency transformer YN Hung, JC Wang, X Song, WT Lu, M Won ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 42 | 2022 |
| Toward universal text-to-music retrieval SH Doh, M Won, K Choi, J Nam ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 33 | 2023 |
| The song describer dataset: a corpus of audio captions for music-and-language evaluation I Manco, B Weck, S Doh, M Won, Y Zhang, D Bogdanov, Y Wu, K Chen, ... arXiv preprint arXiv:2311.10057, 2023 | 28 | 2023 |
| Transfer learning of artist group factors to musical genre classification J Kim, M Won, X Serra, CCS Liem Companion Proceedings of the The Web Conference 2018, 1929-1934, 2018 | 26 | 2018 |
| Music Classification: Beyond Supervised Learning, Towards Real-world Applications M Won, J Spijkervet, K Choi ISMIR 2021 tutorial, 2021 | 22 | 2021 |
| Emotion Embedding Spaces for Matching Music to Stories M Won, J Salamon, NJ Bryan, GJ Mysore, X Serra International Society for Music Information Retrieval (ISMIR), 2021 | 21 | 2021 |
| Mood Classification Using Listening Data F Korzeniowski, O Nieto, M McCallum, M Won, S Oramas, E Schmidt International Society for Music Information Retrieval (ISMIR), 2020 | 17 | 2020 |
| Towards seed-free music playlist generation: Enhancing collaborative filtering with playlist title information J Kim, M Won, CCS Liem, A Hanjalic Proceedings of the ACM Recommender Systems Challenge 2018, 1-6, 2018 | 17 | 2018 |
| A foundation model for music informatics M Won, YN Hung, D Le ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 15 | 2024 |
| Automatic music tagging with harmonic cnn M Won, S Chun, O Nieto Caballero, X Serra International Society for Music Information Retrieval (ISMIR), 2019 | 10 | 2019 |
| Jointist: Simultaneous improvement of multi-instrument transcription and music source separation via joint training KW Cheuk, K Choi, Q Kong, B Li, M Won, JC Wang, YN Hung, ... arXiv preprint arXiv:2302.00286, 2023 | 8 | 2023 |
| Song describer: a platform for collecting textual descriptions of music recordings I Manco, B Weck, P Tovstogan, M Won, D Bogdanov Late-Breaking Demo Session of the 23rd Int’l Society for Music Information …, 2022 | 7 | 2022 |
Xavier SerraDepartment of Information and Communication Technologies, Universitat Pompeu Fabra (UPF), BarcelonaVerified email at upf.edu
