Marcel Vélez Vásquez
PhD in NWA Project; Promotors prof. dr H. Honing, dr W. Zuidema and dr J. A. Burgoyne.
Latest publications
Lidia Morris, Michele Newman, Xinya Tang, Renee Singh, Marcel Vélez Vásquez, Rebecca Leger, & Jin Ha Lee. (2025). Expanding the HAISP Dataset: AI’s Impact on Songwriting Across Two Contests. ISMIR.
DOI
10.5281/ZENODO.17706322
Marcel Vélez Vásquez, Mariëlle Baelemans, Jonathan Driedger, & John Ashley Burgoyne. (2025). FRETBOARDFLOW: A DUAL-MODEL APPROACH TO OPTIMIZE CHORD VOICINGS ON THE GUITAR FRETBOARD. ISMIR.
DOI
10.5281/ZENODO.17706587
{Vélez Vásquez}, M., Pouw, C., Burgoyne, J. A., & Zuidema, W. (2024). Exploring the inner mechanisms of large generative music models. Proceedings of the 25th International Conference of the Society for Music Information Retrieval, 5–14.
Baelemans, M. C. E., {Vélez Vásquez}, M. A., & Burgoyne, J. A. (2023, October). Defining Playability in Musical Performance: Cognitive Factors and Implications for Automated Song Difficulty Estimation. The 16th International Conference of Students of Systematic Musicology.
Marcel A. Vélez Vásquez, Mariëlle Baelemans, Jonathan Driedger, Willem Zuidema, & John Ashley Burgoyne. (2023). Quantifying the Ease of Playing Song Chords on the Guitar. ISMIR.
DOI
10.5281/ZENODO.10265391
Vásquez, M. A. V., & Burgoyne, J. A. (2022). Tailed U-Net: Multi-Scale Music Representation Learning. Zenodo.
DOI
10.5281/ZENODO.7316596
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