ACPAS: A Dataset of Aligned Classical Piano Audio and Scores for Audio-to-Score Transcription
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We create the ACPAS dataset with aligned audio and scores on classical piano music for automatic music audio-to-score transcription research. The dataset contains 497 distinct music scores aligned with 2189 audio performances, 179.8 hours in total. To our knowledge, it is currently the largest dataset for audio-to-score transcription research. We provide aligned performance audio, performance MIDI and MIDI scores, together with beat, key signature, and time signature annotations. The dataset is partly collected from a list of existing automatic music transcription (AMT) datasets, and partly synthesized. Both real recordings and synthetic recordings are included. We provide a train/validation/test split with no piece overlap and in line with splits in other AMT datasets.
Authors
Liu, L; Morfi, V; Benetos, E; Late-Breaking Demo Session of the 22nd Int. Society for Music Information Retrieval ConferenceCollections
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