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2020 – today
- 2024
[c15]Minz Won, Yun-Ning Hung, Duc Le:
A Foundation Model for Music Informatics. ICASSP 2024: 1226-1230- 2023
- [c14]Seungheon Doh, Minz Won, Keunwoo Choi, Juhan Nam:
Textless Speech-to-Music Retrieval Using Emotion Similarity. ICASSP 2023: 1-5 - [c13]Seungheon Doh, Minz Won, Keunwoo Choi, Juhan Nam:
Toward Universal Text-To-Music Retrieval. ICASSP 2023: 1-5 - [i19]Kin Wai Cheuk, Keunwoo Choi, Qiuqiang Kong, Bochen Li, Minz Won, Ju-Chiang Wang, Yun-Ning Hung, Dorien Herremans:
Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training. CoRR abs/2302.00286 (2023) - [i18]Seungheon Doh, Minz Won, Keunwoo Choi, Juhan Nam:
Textless Speech-to-Music Retrieval Using Emotion Similarity. CoRR abs/2303.10539 (2023) - [i17]Yun-Ning Hung, Ju-Chiang Wang, Minz Won, Duc Le:
Scaling Up Music Information Retrieval Training with Semi-Supervised Learning. CoRR abs/2310.01353 (2023) - [i16]Ju-Chiang Wang, Wei Tsung Lu, Minz Won:
Mel-Band RoFormer for Music Source Separation. CoRR abs/2310.01809 (2023) - [i15]Minz Won, Yun-Ning Hung, Duc Le:
A Foundation Model for Music Informatics. CoRR abs/2311.03318 (2023) - [i14]Ilaria Manco, Benno Weck, Seungheon Doh, Minz Won, Yixiao Zhang, Dmitry Bogdanov, Yusong Wu, Ke Chen, Philip Tovstogan, Emmanouil Benetos, Elio Quinton, György Fazekas, Juhan Nam:
The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation. CoRR abs/2311.10057 (2023) - 2022
- [b1]Minz Won:
Representation learning for music classification and retrieval: bridging the gap between natural language and music semantics. Pompeu Fabra University, Spain, 2022 - [c12]Yun-Ning Hung, Ju-Chiang Wang, Xuchen Song, Wei Tsung Lu, Minz Won:
Modeling Beats and Downbeats with a Time-Frequency Transformer. ICASSP 2022: 401-405 - [i13]Yun-Ning Hung, Ju-Chiang Wang, Xuchen Song, Wei Tsung Lu, Minz Won:
Modeling Beats and Downbeats with a Time-Frequency Transformer. CoRR abs/2205.14701 (2022) - [i12]Kin Wai Cheuk, Keunwoo Choi, Qiuqiang Kong, Bochen Li, Minz Won, Amy Hung, Ju-Chiang Wang, Dorien Herremans:
Jointist: Joint Learning for Multi-instrument Transcription and Its Applications. CoRR abs/2206.10805 (2022) - [i11]Seungheon Doh, Minz Won, Keunwoo Choi, Juhan Nam:
Toward Universal Text-to-Music Retrieval. CoRR abs/2211.14558 (2022) - 2021
- [c11]Minz Won, Sergio Oramas, Oriol Nieto, Fabien Gouyon, Xavier Serra:
Multimodal Metric Learning for Tag-Based Music Retrieval. ICASSP 2021: 591-595 - [c10]Wei Tsung Lu, Ju-Chiang Wang, Minz Won, Keunwoo Choi, Xuchen Song:
SpecTNT: a Time-Frequency Transformer for Music Audio. ISMIR 2021: 396-403 - [c9]Minz Won, Keunwoo Choi, Xavier Serra:
Semi-supervised Music Tagging Transformer. ISMIR 2021: 769-776 - [c8]Minz Won, Justin Salamon, Nicholas J. Bryan, Gautham J. Mysore, Xavier Serra:
Emotion Embedding Spaces for Matching Music to Stories. ISMIR 2021: 777-785 - [i10]Wei Tsung Lu, Ju-Chiang Wang, Minz Won, Keunwoo Choi, Xuchen Song:
SpecTNT: a Time-Frequency Transformer for Music Audio. CoRR abs/2110.09127 (2021) - [i9]Minz Won, Janne Spijkervet, Keunwoo Choi:
Music Classification: Beyond Supervised Learning, Towards Real-world Applications. CoRR abs/2111.11636 (2021) - [i8]Minz Won, Keunwoo Choi, Xavier Serra:
Semi-Supervised Music Tagging Transformer. CoRR abs/2111.13457 (2021) - [i7]Minz Won, Justin Salamon, Nicholas J. Bryan, Gautham J. Mysore, Xavier Serra:
Emotion Embedding Spaces for Matching Music to Stories. CoRR abs/2111.13468 (2021) - 2020
- [c7]Minz Won, Sanghyuk Chun, Oriol Nieto, Xavier Serra:
Data-Driven Harmonic Filters for Audio Representation Learning. ICASSP 2020: 536-540 - [c6]Filip Korzeniowski, Oriol Nieto, Matthew C. McCallum, Minz Won, Sergio Oramas, Erik M. Schmidt:
Mood Classification Using Listening Data. ISMIR 2020: 542-549 - [c5]Dmitry Bogdanov, Alastair Porter, Philip Tovstogan, Minz Won:
MediaEval 2020: Emotion and Theme Recognition in Music Using Jamendo. MediaEval 2020 - [i6]Minz Won, Andres Ferraro
, Dmitry Bogdanov, Xavier Serra:
Evaluation of CNN-based Automatic Music Tagging Models. CoRR abs/2006.00751 (2020) - [i5]Filip Korzeniowski, Oriol Nieto, Matthew C. McCallum, Minz Won, Sergio Oramas, Erik M. Schmidt:
Mood Classification Using Listening Data. CoRR abs/2010.11512 (2020) - [i4]Minz Won, Sergio Oramas, Oriol Nieto, Fabien Gouyon, Xavier Serra:
Multimodal Metric Learning for Tag-based Music Retrieval. CoRR abs/2010.16030 (2020)
2010 – 2019
- 2019
- [c4]Dmitry Bogdanov, Alastair Porter, Philip Tovstogan, Minz Won:
MediaEval 2019: Emotion and Theme Recognition in Music Using Jamendo. MediaEval 2019 - [i3]Minz Won, Sanghyuk Chun, Xavier Serra:
Toward Interpretable Music Tagging with Self-Attention. CoRR abs/1906.04972 (2019) - [i2]Minz Won, Sanghyuk Chun, Xavier Serra:
Visualizing and Understanding Self-attention based Music Tagging. CoRR abs/1911.04385 (2019) - 2018
- [c3]Jaehun Kim, Minz Won, Cynthia C. S. Liem, Alan Hanjalic:
Towards Seed-Free Music Playlist Generation: Enhancing Collaborative Filtering with Playlist Title Information. RecSys Challenge 2018: 14:1-14:6 - [c2]Jaehun Kim, Minz Won, Xavier Serra, Cynthia C. S. Liem:
Transfer Learning of Artist Group Factors to Musical Genre Classification. WWW (Companion Volume) 2018: 1929-1934 - [i1]Jaehun Kim, Minz Won, Xavier Serra, Cynthia C. S. Liem:
Transfer Learning of Artist Group Factors to Musical Genre Classification. CoRR abs/1805.02043 (2018) - 2017
- [c1]Chang Wook Kim, Jaehun Kim, Kwangsub Kim, Minz Won:
Single and Multi Column Neural Networks for Content-based Music Genre Recognition. MediaEval 2017
Coauthor Index
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