You Can Predict Whether a Song Will Be a Hit

Scientists have revealed in their new study that it can be predicted in advance whether a song will become a hit or not.

The songs that are hits around the world today have a great deal in common, especially in the pop genre. These songs are usually built around four common notes. But of course, one who uses these four notes Not every song is equally successful.

Likewise, whether we like a song or not may depend on the mood and environmental conditions we are in at that moment. But still a song It is scientifically possible to predict whether it will be a hit.

Our brain and artificial intelligence can enable us to predict hit songs:

Three scientists have revealed in their new research that we can use artificial intelligence to predict whether a song will become a hit. Of course here is the song, artificial intelligence is not listened to.

The reactions seen in the bodies of the volunteers listening to the song are analyzed by machine learning algorithms. algorithms, It measures and evaluates the emotion of the person and the attention they give to music.

The longer a person is neurologically “in” into a song and the less they want to drop it, the more likely it is to become a hit. In other words, the person does not simply say “I like” or “I don’t like” with his mouth. His body says it instead.

In studies conducted with 33 volunteer participants, it was seen that this system was quite successful. 13 of which were presented to the participants as “hits” by music platforms. 24 new songs in total was played. Participants were not told which songs were hits.

During the listening sessions, the neurological responses of 33 people to the songs were transferred to the algorithms. The algorithm determines which song is a hit or not from the neurological reactions of people by listening for just one minute. 82% accuracy managed to guess.

The next focus of scientists is to predict whether entertainment content such as movies and TV series will be popular, not just music.

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