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Mickaël Zehren
Mickaël Zehren
Doctoral student, Umeå University
在 cs.umu.se 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
ADTOF: A LARGE DATASET OF NON-SYNTHETIC MUSIC FOR AUTOMATIC DRUM TRANSCRIPTION
M Zehren, M Alunno, P Bientinesi
Proceedings of the 22nd International Society for Music Information …, 2021
92021
M-DJCUE: A MANUALLY ANNOTATED DATASET OF CUE POINTS
M Zehren, M Alunno, P Bientinesi
Late Breaking/Demo at the 20th International Society for Music Information …, 2019
52019
High-quality and reproducible automatic drum transcription from crowdsourced data
M Zehren, M Alunno, P Bientinesi
Signals 4 (4), 768-787, 2023
42023
Analyzing and reducing the synthetic-to-real transfer gap in Music Information Retrieval: the task of automatic drum transcription
M Zehren, M Alunno, P Bientinesi
arXiv preprint arXiv:2407.19823, 2024
22024
Automatic Detection of Cue Points for the Emulation of DJ Mixing
M Zehren, M Alunno, P Bientinesi
Computer music journal 46 (3), 67-82, 2022
22022
Automatic Detection of Cue Points for DJ Mixing
M Zehren, M Alunno, P Bientinesi
arXiv preprint arXiv:2007.08411, 2020
22020
Interpretability of methods for switch point detection in electronic dance music
M Zehren, M Alunno, P Bientinesi
12024
In-depth performance analysis of the state-of-the-art algorithm for automatic drum transcription
M Zehren, M Alunno, P Bientinesi
25th International Society for Music Information Retrieval Conference (ISMIR …, 2024
12024
Towards automatic DJ mixing: cue point detection and drum transcription
M Zehren
Umeå University, 2024
2024
DMRN+ 18: Digital Music Research Network One-day Workshop 2023
M Zehren, X Riley, J Gillick, H Cheston, R Mo, E Mitchell, T Baker, Y Li, ...
Centre for Digital Music-C4DM (QMUL), 2023
2023
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