AI Bots Pick The Hits of Tomorrow

Wolverine Inspector writes "The Music Industry uses a product called HSS (Hit Song Science) made by Spain's Polyphonic HMI. According to The Guardian "while no one's talking about it, it seems that the whole record industry is already using AI to choose hits. From unsigned acts dreaming in their garage, to multinationals such as Sony and Universal, everyone is clandestinely using a new and controversial technology to gain an edge on their competitors." Even though it costs about $5,200 US/$6,500, many artists are starting to buy it to help them write succesfull songs."

Comments

This is not Artificial Intelligence

[dtolton]

This is not AI. The music companies are using clustering technology.

The basic idea is that you measure certain characteristics of a song,
such as voice quality, cadence, etc. I'm sure the actual
characteristics used are much more complicated, but the idea is the
same. Once you have your characteristics you can build a three
dimensional vector out of a song. After you have your three
dimensional vector, you can then use many different algorithms, one
such is the Bi-secting K-means algorithm to group the songs together.
After you have built your cluster, you take a new song, run it through
the process and check to see how close it falls to a "hit" cluster.

We use this same process for document classification at my work, and I
don't think it bears any relation on AI. As I stated above, it's a
rather simple grouping technique.

There is a downside to this technology though. By measuring how close a
song is to previous hits, you are guaranteeing that all new songs will
be similar to old hits. This type of system tends to minimize or
eliminate fresh new types of music.

(why the word wrapping? Emacs auto-fill-mode)