So perhaps procedurally generated music and chance based (aleatoric) music isn’t either, but sometimes, it’s interesting (at least from a vague ‘intellectual’ perspective) to hear these ideas applied to metal music. In today’s case, we have guitarist Pete Cottrell playing “randomly generated” metal, which was created by using various sources of randomness (dice, Scrabble tiles, computerized pseudorandom number generation) to determine several properties of the music. In this case, however, only a song fragment’s tempo, time signature, and key signature were randomly generated; as far as I can tell, everything else was written and composed by the guitarist.
This latter point offers me a few bits of discussion. The first is that the next logical step would perhaps be to apply randomization to the actual riff-writing process, creating note and rhythm progressions that could end up difficult to play or simply very chaotic based on whatever algorithm was used. A synthesizer like Native Instrument’s Flesh might come in handy, although its timbral/textural relevance to metal is debatable. The other thing that occurred to me while I watched this video was that a ‘random’ compositional style on its own isn’t likely to create particularly well planned and arranged music. I wouldn’t be surprised if even the more fanatical devotees of the technique ended up using their own efforts to jam random fragments into a more sensible shape. Until the upcoming wave of strong generalist AI outpaces us at most cognitive tasks, though, there are limits to how much randomly generated we’ll hear.
Pete Cottrell has some other videos that may be of interest to metal performers, generally focused around equipment and recording technique.
4 CommentsTags: arrangement, composition, music analysis, procedural generation, pseudorandom, random, songwriting, time signatures, youtube
