AI music study predicts hit songs with impressive accuracy

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AI music study predicts hit songs with impressive accuracy
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A team of scientists discovered a way to predict which songs would become popular by analyzing brain activity with AI.

Spotify, which invest heavily in recommending the right songs to users. Soon, the AI model may improve our favorite music apps.

These platforms recommend songs using their proprietary digital systems. Unfortunately, PsyPost says only less than 4% of new songs become hits. Neurophysiologic responses include heart signals associated with emotional resonance and attention. In other words, your brain affects your heart whenever you hear specific lyrics and melodies.

For example, they can predict the number of song streams based on a small amount of data. The Zak team called this method “neuroforecasting.”It involves analyzing the peak Immersion and Retreat because hit songs often have high Immersion and low Retreat. However, statistical approaches were only 69% accurate.

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