The recent discussion about Markoff chains inspired me to try to train one with all the Bach midi's I have on my disk, collecting statistics on what intervals tend to get played simultaneously, which follow others and in which way the pitch offsets from its mean, so that melodies fall and raise "naturally". The rationale is that if it's Bach, it's harmonious but not respecting any kind of usual chord progression. So far, I got (a bit confused around the edges): getMid mf = do mid <- MidiLoad.fromFile mf return $ MidiRead.retrieveTracks mid toMelody :: MidiMusic.T -> StdMelody.T toMelody = Music.mapNote f where f note = let body = MidiMusic.body note in Melody.Note StdMelody.na (MidiMusic.pitch body) main = do args <- Env.getArgs let mf:[] = args m <- getMid mf putStr $ Format.prettyMelody $ Optimise.all $ Music.chord $ map (\m -> Music.line $ map toMelody m) m which results in chord [e 3 bn na, chord [b 2 wn na, line [hnr, d 3 wn na, hnr, cs 3 hn na, a 2 hn na, chord [cs 3 hn na, line [b 2 hn na, c 3 hn na]]]]] , for a set of random clicks in rosegarden's matrix editor. Right now, I'm desperately searching for functions that can help me analyse this beast, which afaict right now works best by having a multitude of transformations (e.g. one big top-level chord with maximum polyphony and a hell a lot of rests) that provide easy access to whatever information is needed. Does anyone of you know about previous work in this area? I don't want to break cultural imperatives by not being as lazy as possible. -- (c) this sig last receiving data processing entity. Inspect headers for past copyright information. All rights reserved. Unauthorised copying, hiring, renting, public performance and/or broadcasting of this signature prohibited.