Mdb Drums – an Annotated Subset of Medleydb for Automatic Drum Transcription

In this paper we present MDB Drums, a new dataset for automatic drum transcription (ADT) tasks. This dataset is built on top of the MusicDelta subset of the MedleyDB dataset, taking advantage of real-world recordings in multitrack format. The dataset is comprised of a variety of genres, providing a balanced pool for developing and evaluating ADT models with respect to various musical styles. To reduce the cost of the labor-intensive process of manual annotation, a semi-automatic process was utilised in both the annotation and quality control processes. The presented dataset consists of 23 tracks with a total of 7994 onsets. These onsets are divided into 6 classes based on drum instruments or 21 subclasses based on playing techniques. Every track consists of a drum-only track as well as multiple accompanied tracks, enabling audio files containing different combinations of instruments to be used in the ADT evaluation process.