Development of a new equipment using Magnetic Resonance (MR) has been developed and can easily find out the music people are listening to.
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‘Brain decoding is the technique that helps in identifying the song you are listening to.’
The study, published in Scientific Reports, contributes for the improvement of the technique and pave the way to new research on reconstruction of auditory imagination and inner speech. In the clinical domain, it can enhance brain-computer interfaces in order to establish communication with locked-in syndrome patients.
In the experiment, six volunteers heard 40 pieces of classical music, rock, pop, jazz, and others. The neural fingerprint of each song on participants' brain was captured by the MR machine while a computer was learning to identify the brain patterns elicited by each musical piece.
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After that, researchers expected that the computer would be able to do the opposite way: identify which song participants were listening to, based on their brain activity, a technique known as brain decoding.
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Researchers then pushed the test even harder by providing not two but 10 options (e.g. one correct and nine wrong) to the computer. In this scenario, the computer correctly identified the song in 74% of the decisions.
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"Machines will be able to translate our musical thoughts into songs", says Sebastian Hoefle, researcher from D'Or Institute and PhD student from Federal University of Rio de Janeiro, Brazil.
The study is a result of a collaboration between Brazilian researchers and colleagues from Germany, Finland and India.
According to Hoefle, brain decoding researches provide alternatives to understand neural functioning and interact with it using artificial intelligence.
In the future, he expects to find answers for questions like "what musical features make some people love a song while others don't? Is our brain adapted to prefer a specific kind of music?"
Source-Eurekalert
