This page presents datasets produced in our laboratory's work or used in our publications. Published datasets are available from open-access repositories. When using a dataset, please cite it together with the related publication, if there is one.
A dataset prepared for classifying the components of a drum set using machine learning methods. It was used in our study comparing different machine learning approaches for drum set component classification.
| Content | Features extracted from audio recordings of six drum set components (kick, snare, hi-hat, toms, cymbals, and ride); 1,204 samples in total. The raw audio files are not shared because of the license terms of the source software. |
|---|---|
| Features | 176 spectral, cepstral (MFCC), chroma, and temporal features |
| File format | Excel (XLSX) |
| Repository | Zenodo, doi:10.5281/zenodo.17203168 |
| License | Creative Commons Attribution 4.0 International (CC BY 4.0) |
| Related publication | Yurtsever, U., Yücel, İ. E. (2025). Comparative Analysis of Machine Learning Approaches for Drum Set Component Classification in Music Technology. Applied Artificial Intelligence, 39(1), 2581352. doi:10.1080/08839514.2025.2581352 |
If you use this dataset, please cite both of the following references.
Yurtsever, U., Yücel, İ. E. (2025). Comparative Analysis of Machine Learning Approaches for Drum Set Component Classification in Music Technology. Applied Artificial Intelligence, 39(1), 2581352. https://doi.org/10.1080/08839514.2025.2581352
Yücel, İ. E., Yurtsever, U. (2025). Drumset Components Classification Dataset [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17203168
Several datasets produced in our laboratory are being prepared for publication. They will be added to this page as they are published.
