New papers on music for mood regulation and jazz fingerprints

Two new papers from the Centre have just been published.

Catherine Tan and Peter Harrison’s article, “What music do people use for mood regulation?”, appears in Psychology of Music. Drawing on more than 5,000 tracks that listeners reported using for music mood regulation, the study asks how audio features characterise the music chosen for different strategies, and how individual differences such as musical sophistication, empathy, and well-being relate to those choices.

Huw Cheston, Reuben Bance, and Peter Harrison’s article, “Machine learning of artistic fingerprints in jazz”, is published in Nature Machine Intelligence. The models were trained on 84 hours of recordings by 20 iconic jazz pianists, identifying individual performers with up to 94% accuracy and helping to show which aspects of melody, harmony, rhythm, and dynamics make a player’s style distinctive. An interactive explorer accompanies the paper.

The jazz fingerprints study has also been covered in Scientific American, Phys.org, and IFLScience.