Sign In

Communications of the ACM

ACM TechNews

Decoding Brainwaves to Identify What Music Is Being Listened To

View as: Print Mobile App Share:
Facilitating an electroencephalogram of the brain.

The eventual goal of this strand of research would be to translate thought, which could offer an important aid for people who struggle to communicate, such as those with locked-in syndrome.

Credit: Ant Jones Photography

A brainwave-monitoring technique created by researchers at the U.K.'s University of Essex can identify to which specific piece of music people are listening.

The researchers combined functional magnetic resonance imaging (fMRI) with electroencephalogram monitoring to measure a person's brain activity while listening to music.

They used a deep learning neural network model to translate this data to reconstruct and accurately identify the piece of music, with 71.8% accuracy.

Essex's Ian Daly said, "We have shown we can decode music, which suggests that we may, one day, be able to decode language from the brain."

From University of Essex (U.K.)
View Full Article


Abstracts Copyright © 2023 SmithBucklin, Washington, DC, USA


No entries found

Sign In for Full Access
» Forgot Password? » Create an ACM Web Account