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Umeå University
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Staff photo Mickaël Zehren

Mickaël Zehren

Contact

E-mail
mickael.zehren@umu.se

Works as

Affiliation
Staff scientist at High Performance Computing Centre North (HPC2N)
Location
MIT huset, Campustorget 5, 4 tr Umeå universitet, 901 87 Umeå
Interpretability of methods for switch point detection in electronic dance music
Signals, MDPI 2024, Vol. 5, (4) : 642-658
Zehren, Mickael; Alunno, Marco; Bientinesi, Paolo
Towards automatic DJ mixing: cue point detection and drum transcription
Report / UMINF, 24.08
Zehren, Mickaël
In-depth performance analysis of the ADTOF-based algorithm for automatic drum transcription
Proceedings of the 25th international society for music information retrieval conference, San Francisco: ISMIR 2024 : 1060-1067
Zehren, Mickaël; Alunno, Marco; Bientinesi, Paolo
High-quality and reproducible automatic drum transcription from crowdsourced data
Signals, MDPI 2023, Vol. 4, (4) : 768-787
Zehren, Mickaël; Alunno, Marco; Bientinesi, Paolo
Automatic detection of cue points for the emulation of DJ mixing
Computer music journal, MIT Press 2022, Vol. 46, (3) : 67-82
Zehren, Mickaël; Alunno, Marco; Bientinesi, Paolo
ADTOF: A large dataset of non-synthetic music for automatic drum transcription
Proceedings of the 22nd International Society for Music Information Retrieval Conference : 818-824
Zehren, Mickaël; Alunno, Marco; Bientinesi, Paolo
M-DJCUE: a manually annotated dataset of cue points
20th International Society for Music Information Retrieval Conference: Across the bridge, Delft, The Netherlands, November 4-8, 2019
Zehren, Mickaël; Alunno, Marco; Bientinesi, Paolo
Analyzing and reducing the synthetic-to-real transfer gap in music information retrieval: the task of automatic drum transcription
Zehren, Mickaël; Alunno, Marco; Bientinesi, Paolo
Interpretability of methods for switch point detection in electronic dance music
Zehren, Mickaël; Alunno, Marco; Bientinesi, Paolo
View publications in DiVA

Research groups

Group member
High-Performance and Automatic Computing