Minz Won

According to our database, Minz Won authored at least 25 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation.

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

CoRR, 2023

A Foundation Model for Music Informatics.

Minz Won, Yun-Ning Hung, Duc Le

CoRR, 2023

Mel-Band RoFormer for Music Source Separation.

Ju-Chiang Wang, Wei Tsung Lu, Minz Won

CoRR, 2023

Scaling Up Music Information Retrieval Training with Semi-Supervised Learning.

Yun-Ning Hung, Ju-Chiang Wang, Minz Won, Duc Le

CoRR, 2023

Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training.

Kin Wai Cheuk, Keunwoo Choi, Qiuqiang Kong, Bochen Li, Minz Won, Ju-Chiang Wang, Yun-Ning Hung, Dorien Herremans

CoRR, 2023

Toward Universal Text-To-Music Retrieval.

Seungheon Doh, Minz Won, Keunwoo Choi, Juhan Nam

Proceedings of the IEEE International Conference on Acoustics, 2023

Textless Speech-to-Music Retrieval Using Emotion Similarity.

Seungheon Doh, Minz Won, Keunwoo Choi, Juhan Nam

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Representation learning for music classification and retrieval: bridging the gap between natural language and music semantics.

Minz Won

PhD thesis, 2022

Jointist: Joint Learning for Multi-instrument Transcription and Its Applications.

Kin Wai Cheuk, Keunwoo Choi, Qiuqiang Kong, Bochen Li, Minz Won, Amy Hung, Ju-Chiang Wang, Dorien Herremans

CoRR, 2022

Modeling Beats and Downbeats with a Time-Frequency Transformer.

Yun-Ning Hung, Ju-Chiang Wang, Xuchen Song, Wei Tsung Lu, Minz Won

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Music Classification: Beyond Supervised Learning, Towards Real-world Applications.

Minz Won, Janne Spijkervet, Keunwoo Choi

CoRR, 2021

Emotion Embedding Spaces for Matching Music to Stories.

Minz Won, Justin Salamon, Nicholas J. Bryan, Gautham J. Mysore, Xavier Serra

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

Semi-supervised Music Tagging Transformer.

Minz Won, Keunwoo Choi, Xavier Serra

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

SpecTNT: a Time-Frequency Transformer for Music Audio.

Wei Tsung Lu, Ju-Chiang Wang, Minz Won, Keunwoo Choi, Xuchen Song

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

Multimodal Metric Learning for Tag-Based Music Retrieval.

Minz Won, Sergio Oramas, Oriol Nieto, Fabien Gouyon, Xavier Serra

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Evaluation of CNN-based Automatic Music Tagging Models.

Minz Won, Andres Ferraro, Dmitry Bogdanov, Xavier Serra

CoRR, 2020

MediaEval 2020: Emotion and Theme Recognition in Music Using Jamendo.

Dmitry Bogdanov, Alastair Porter, Philip Tovstogan, Minz Won

Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

Mood Classification Using Listening Data.

Filip Korzeniowski, Oriol Nieto, Matthew C. McCallum, Minz Won, Sergio Oramas, Erik M. Schmidt

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Data-Driven Harmonic Filters for Audio Representation Learning.

Minz Won, Sanghyuk Chun, Oriol Nieto, Xavier Serra

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Visualizing and Understanding Self-attention based Music Tagging.

Minz Won, Sanghyuk Chun, Xavier Serra

CoRR, 2019

Toward Interpretable Music Tagging with Self-Attention.

Minz Won, Sanghyuk Chun, Xavier Serra

CoRR, 2019

MediaEval 2019: Emotion and Theme Recognition in Music Using Jamendo.

Dmitry Bogdanov, Alastair Porter, Philip Tovstogan, Minz Won

Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

2018

Transfer Learning of Artist Group Factors to Musical Genre Classification.

Jaehun Kim, Minz Won, Xavier Serra, Cynthia C. S. Liem

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Towards Seed-Free Music Playlist Generation: Enhancing Collaborative Filtering with Playlist Title Information.

Jaehun Kim, Minz Won, Cynthia C. S. Liem, Alan Hanjalic

Proceedings of the ACM Recommender Systems Challenge, 2018

2017

Single and Multi Column Neural Networks for Content-based Music Genre Recognition.

Chang Wook Kim, Jaehun Kim, Kwangsub Kim, Minz Won

Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017