A while back I wrote about a crazy scheme to generate perfect music. I thought about it for a while but never really got anywhere with it. Time to start the “research” phase, if you could call it that. I won’t make it past this step since I don’t have a significant background in music theory, so I won’t be able to analyze the more important musical aspects of these songs.
So here’s a summary of the idea. Music is just a series of different tones. When played in succession and continuously, you’ve got yourself a trippy techno beat, sappy love song or energizing march. So the idea, inspired by the perfect face algorithm, is that universally (95%-99%) pleasing music must have some sort of similarity that makes them pleasing to such a majority of the population.
For now the experiment will be limited to just one culture – American. Obviously we can’t throw in some chart topping Bollywood beats or something. So the description universally appealing will indicate a song that is a chart topper on the Billboard Hot 100. Here’s some more on that. The chart topping songs are selected by sales and airtime. Initially I thought this would be a problem, as only a particular type of person would call up a radio or buy a CD, but it’s probably not a significant demographic group that it would interfere with the results.
Here are some selected some songs that have reached the #1 spot on the Billboard Hot 100 to compare.
- Flo Rida – Right Round
- Crank That (Soulja Boy) – Soulja Boy Tell ‘Em
- Whatever You Like – T.I.
- Viva La Vida – Coldplay
- Just Dance – Lady GaGa Ft. Colby O’Donis
- Low – Flo Rida
There’s a lot of hip-hop on the Hot 100, but I drew extra songs from other genres. Here’s the game plan, or the aspects of the songs to be compared.
- Song Name
- Number of weeks on chart
- Genre
- Theme (Ex. What is the song mostly about?)
- Synopsis (Ex. Full blown summary of the lyrics)
- Tempo
- My opinion of the song
- Syncopation
- Chorus (Ex. Yes or no?)
- Time Signature
- Structure (Ex. ABCDABAB)
- Artist (Expand as needed) – Gender, vocal range, etc.
- Instrument – Augmented, etc.
I had more features to analyze before. Can’t think of any more at the moment.