Datasets › MedleyDB

MedleyDB

Introduced in MedleyDB: A Multitrack Dataset for Annotation-Intensive MIR Research1 Jan 2014 archive 2025-07-28

MedleyDB, is a dataset of annotated, royalty-free multitrack recordings. It was curated primarily to support research on melody extraction. For each song melody f₀ annotations are provided as well as instrument activations for evaluating automatic instrument recognition. The original dataset consists of 122 multitrack songs out of which 108 include melody annotations.

The songs in MedleyDB were obtained from the following sources:

  • Independent Artists (30 songs)
  • NYU's Dolan Recording Studio (32 songs)
  • Weathervane Music (25 songs)
  • Music Delta (35 songs)

MedleyDB contains songs of a variety of musical genres: Singer/Songwriter, Classical, Rock, World/Folk, Fusion, Jazz, Pop, Musical Theatre, Rap. For each song three types of audio content are given: a mix, stems, and raw audio. All types of audio files are .wav files with a sample rate of 44.1 kHz and a bit depth of 16.

Source: https://medleydb.weebly.com/ Image Source: https://medleydb.weebly.com/ Audio Source: https://zenodo.org/record/1438309

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 47 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

CC BY-NC-SA 4.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • MedleyDB

1 variant name, as the archive lists them.

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