![[OLD FALL 2017] 15-104 • Introduction to Computing for Creative Practice](https://courses.ideate.cmu.edu/15-104/f2017/wp-content/uploads/2020/08/stop-banner.png)
For sound art, I found a project called The Classyfier. This project was created by Benedict Hubener, Stephanie Lee and Kelvyn Marte at the CIID.
The Classyfier is a table shaped speaker that detects what type of beverage people are drinking and plays a certain playlist according to the beverage. The speaker picks up on cue noises, such as the clinking of wine glasses or the popping open of a beer can.
I find this project inspiring because of the aspect of machine learning. The machine picks up on certain sound characteristics and compares it to a catalogue of sounds preprogrammed into it. From there, it is able to connect the suitable playlist and play the right music. In addition, the table has a feature where the user can knock on the tabletop to skip to the next song. This project connects very human understandings such as genres, mood, vibes, to a very robotic calculation. From a simple sound characteristic, a computer program is able to emulate the mood of drinking a relaxing glass of wine or cracking a cold beer with a pal.