| --- |
| license: cc-by-4.0 |
| pretty_name: StemGMD |
| task_categories: |
| - audio-to-audio |
| tags: |
| - audio |
| - music |
| - drums |
| - source-separation |
| - drum-source-separation |
| - drum-demixing |
| - isolated-stems |
| - groove-midi-dataset |
| - music-information-retrieval |
| configs: |
| - config_name: archives |
| data_files: |
| - split: train |
| path: metadata.csv |
| --- |
| |
| # StemGMD |
|
|
| This repository mirrors the StemGMD archive files released on Zenodo as "StemGMD: A Large-Scale Audio Dataset of Isolated Drum Stems for Deep Drums Demixing". |
|
|
| StemGMD builds on Magenta's Groove MIDI Dataset. The upstream authors mapped the original 22 MIDI pitches to nine canonical drum instruments and synthesized isolated 16-bit/44.1 kHz stereo WAV stems with ten Logic Pro X acoustic drum kits. The release contains 1224 hours of audio, corresponding to more than 136 hours of full-kit mixtures, plus single hits at ten velocities. The fully extracted dataset requires just over 1.13 TB. |
|
|
| This mirror preserves the upstream archive files and provides a metadata-only dataset viewer manifest. It intentionally does not expand every WAV file into the viewer because the dataset is very large. |
|
|
| ## Source Records |
|
|
| - Part 1: https://zenodo.org/records/7860223 |
| - Part 2: https://zenodo.org/records/7882857 |
| - License: Creative Commons Attribution 4.0 International |
| - DOI: `10.5281/zenodo.7860223` and `10.5281/zenodo.7882857` |
|
|
| ## Files |
|
|
| See `metadata.csv` for archive names, sizes, MD5 checksums, source URLs, and paths in this repository. |
|
|
| ## Reconstructing the Dataset |
|
|
| Download all files under `archives/` into one directory, then run the upstream `unzip_StemGMD.sh` script from that directory. The extracted dataset is expected to require just over 1.13 TB. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{mezza2024, |
| title = {Toward deep drum source separation}, |
| author = {Alessandro Ilic Mezza and Riccardo Giampiccolo and Alberto Bernardini and Augusto Sarti}, |
| journal = {Pattern Recognition Letters}, |
| volume = {183}, |
| pages = {86-91}, |
| year = {2024}, |
| issn = {0167-8655}, |
| doi = {https://doi.org/10.1016/j.patrec.2024.04.026} |
| } |
| ``` |
|
|
