The GigaMIDI Dataset with Features for Expressive Music Performance Detection Cover

The GigaMIDI Dataset with Features for Expressive Music Performance Detection

Transactions of the International Society for Music Information Retrieval

Volume 8 (2025): Issue 1

By: Keon Ju Maverick Lee , Jeff Ens, Sara Adkins, Pedro Sarmento, Mathieu Barthet and Philippe Pasquier

Open Access

|Feb 2025

Authors

Keon Ju Maverick Lee

keon_maverick@sfu.ca

Metacreation Lab for Creative AI, School of Interactive Arts and Technology, Simon Fraser University, Vancouver

Jeff Ens

jeff_ens@sfu.ca

Metacreation Lab for Creative AI, School of Interactive Arts and Technology, Simon Fraser University, Vancouver

Sara Adkins

sara.adkins65@gmail.com

Independent Researcher, Boston

Pedro Sarmento

p.p.sarmento@qmul.ac.uk

Centre for Digital Music, Queen Mary University of London, London

Mathieu Barthet

m.barthet@qmul.ac.uk

Centre for Digital Music, Queen Mary University of London, London, United Kingdom, and Aix‑Marseille Univ CNRS PRISM, Marseille

Philippe Pasquier

pasquier@sfu.ca

Metacreation Lab for Creative AI, School of Interactive Arts and Technology, Simon Fraser University, Vancouver

DOI: https://doi.org/10.5334/tismir.203 | Journal eISSN: 2514-3298

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Language: English

Submitted on: May 14, 2024

Accepted on: Nov 11, 2024

Published on: Feb 7, 2025

Published by: Ubiquity Press

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

Symbolic Music,

Computational Musicology,

Digital Musicology,

Musical Features,

Expressive Music Performance Analysis

© 2025 Keon Ju Maverick Lee, Jeff Ens, Sara Adkins, Pedro Sarmento, Mathieu Barthet, Philippe Pasquier, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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