Keywords: music, symbolic music, piano transcription, dataset, midi
TL;DR: We introduce a dataset of MIDI files comprising roughly 100,000 hours of transcribed piano recordings.
Abstract: We introduce an extensive new dataset of MIDI files, created by transcribing audio recordings of piano performances into their constituent notes. The data pipeline we use is multi-stage, employing a language model to autonomously crawl and score audio recordings from the internet based on their metadata, followed by a stage of pruning and segmentation using an audio classifier. The resulting dataset contains over one million distinct MIDI files, comprising roughly 100,000 hours of transcribed audio. We provide an in-depth analysis of our techniques, offering statistical insights, and investigate the content by extracting metadata tags, which we also provide. Dataset available at https://github.com/loubbrad/aria-midi.
Primary Area: datasets and benchmarks
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Submission Number: 1313
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