You’d think that jazz, with its emphasis on live improvisation and its loose structure, would be the hardest genre of music for AI to analyse, wouldn’t you? Not so, according to a new research paper published in Nature Machine Intelligence.
The research, which was conducted at the University of Cambridge by a team led by one Huw Cheston, has shown that large language models can identify jazz pianists and even reveal the musical ‘fingerprints’ that made them stand out.
