My favorite band (vulfpeck, and more recently jack's solo stuff) often branch out into different genres, and it's a bit of whiplash when it goes to another song just because the artists are similar / appear together in other places.
> Plex Media Server uses a sophisticated neural network to analyze each track in the music library, cataloging a wide variety of characteristics of the track. Think of it as things like female vs male, vocals vs not, sad, happy, rock, rap, etc. All these various characteristic constitute a “Musical Universe” and the server is determining where that particular track exists within it.
> For the math-savvy, the Musical Universe consists of points in N-dimensional space. But what’s important is that this allows us to see how “close” anything in your library is from anything else, where distance is based on a large number of sonic elements in the audio.
I haven't tried it so can't speak to its effectiveness.
The problem with classification is that what makes a genre is not uniform. Some genres are defined by the way people sing, other genres are defined by the singers language, other are purely about the instrumentation or rhythms used, yet others mostly about the sounds and notes used etc.
But there are things like tempograms, tonnetz (tonal centroid features), chromagrams, spectral flatness/contrast/roloff, laplacian segmentation etc. And I guess feeding these into some neural net might give you interesting results.