Jazz Musicians Leave Hidden “Fingerprints” In Their Work – Newly Trained Computer Models Can Identify Them With Over 90 Percent Accuracy

Jazz Musicians Leave Hidden “Fingerprints” In Their Work – Newly Trained Computer Models Can Identify Them With Over 90 Percent Accuracy

The models were treated to over 80 hours of recordings from some of the most legendary jazz pianists of all time.

AI decodes the mathematical ‘fingerprints’ of famous jazz musicians, from Chick Corea to Thelonious Monk

Music and math often come together in ways we don’t expect

Machine Learning Reveals Artistic Fingerprints in Jazz

Jazz has long been treated as an art of the moment: a conversation between musicians, a negotiation with rhythm, and a form of expression in which identity can emerge from a single phrase. Now, a study published in Nature Machine Intelligence suggests that those elusive signatures may also be measurable by artificial intelligence. Researchers H. Cheston, R. Bance and P.M.C. Harrison have investigated how machine-learning systems can identify “ar…