The authors present MulTTiPop, a dataset of pop music segments and their associated multitrack MIDI recordings designed for evaluating automatic music transcription models.

  • The dataset contains 572 segments totaling 3.5 hours of audio from the 1930s to the 2000s.
  • Data collection involved metadata-based matching on Lakh MIDI and TheoryTab, anchor beat identification, and tempo warping.
  • Evaluation shows substantial room for improvement, with the best model achieving only 38% Onset F1.