Researchers at Google and Osaka University have published the results of a study in which scans of brain waves taken while subjects listened to music in the laboratory were transformed into 'reconstructions' of the music they listened to using an AI model named Brain2Music.
Published on July 20, Brain2Music: Reconstructing Music from Human Brain Activity details a study in which subjects listened to 540 music samples across ten different genres while researchers measured their brain activity using fMRI scans. These readings were then used to train a deep neural network that identified patterns of brain activity associated with musical characteristics such as mood, genre and instrumentation.
