References
[1] Christian Dittmar, Daniel Gärtner:
Real-time transcription and separation of drum recordings based on NMF decomposition, Proceedings of the 17th International Conference on Digital Audio Effects (DAFx-14), Erlangen, Germany, 2014
Real-time transcription and separation of drum recordings based on NMF decomposition, Proceedings of the 17th International Conference on Digital Audio Effects (DAFx-14), Erlangen, Germany, 2014
The dataset consists of 608 WAV files (44.1 kHz, Mono, 16bit). The approximate duration is 2:10 hours.
There are 104 polyphonic drum set recordings (drum loops) containing only the drum instruments kick drum, snare drum and hi-hat. For each drum loop, there are 3 training files for the involved instruments, yielding 312 training files for drum transcription purposes. The recordings are from three different sources:
For each drum loop, the onsets of kick drum, snare drum and hi-hat have been manually annotated. They are provided as XML and SVL files that can be assigned to the corresponding audio recording by their filename. Appropriate annotation file parsers are provided as MATLAB functions together with an example script showing how to import the complete dataset.
The subsets TechnoDrum02 and WaveDrum02 contain 64 drum loops that are delivered together with perfectly isolated single tracks of kick drum, snare drum, and hi-hat in addition to the above-mentioned training files. Mixing the single tracks together yields the mixture drum loops, thus providing 192 reference signals for source separation experiments.
The dataset is provided for evaluation purpose under the Creative Commons licence CC BY-NC-ND 4.0.
Authors: Feliks Weber, Manuel Winges, Christian Dittmar, Daniel Gärtner (Fraunhofer IDMT)
Download Dataset: https://zenodo.org/record/7544164
We would like to thank Feliks Weber and Manuel Winges for recording and annotating the database.
This work has been partly supported by the german research project SyncGlobal funded by the Federal Ministry of Education and Research.