Depends what the model targets. If I gave this problem to a bunch of musicians, they’d be pulling out features like the key, tempo, meter, chord progressions, any distinctive riffs or basslines, etc. Those are the things hashes could be built from and would be more information-dense than samples of the particular recording.

Using a model to deconstruct a song like that might enable the ability to recognize someone playing the opening bars of Mr. Brightside on a piano in a loud bar as well as its drunkest patrons.