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ADTOF: A large dataset of non-synthetic music for automatic drum transcription
2021
Zenodo
The state-of-the-art methods for drum transcription in the presence of melodic instruments (DTM) are machine learning models trained in a supervised manner, which means that they rely on labeled datasets. The problem is that the available public datasets are limited either in size or in realism, and are thus suboptimal for training purposes. Indeed, the best results are currently obtained via a rather convoluted multi-step training process that involves both real and synthetic datasets. To
doi:10.5281/zenodo.5624526
fatcat:nz2wzqz2bbamxiy4ldfex4vjp4