Machine learning of artistic fingerprints in jazz

Nature Machine Intelligence, Published online: 17 August 2026; doi:10.1038/s42256-026-01279-9 Cheston et al. develop a machine learning pipeline that identifies 20 iconic jazz pianists from audio recordings with up to 94% accuracy, revealing how melody, harmony, rhythm and dynamics shape each performer’s individual musical fingerprint.