After some of the discussion last week, here’s a different approach to the Hybrid/Layered resynthesis thread.
What this does it takes a corpus and splits it up into 4 layers. Two via HPSS and two via NMF. I then play back random combinations of them.
The results are surprisingly good, and believable!
For this corpus I’ve used a mix of percussive sounds (metal samples, waterphone, gamelan), so they all have quite similar spectromorphological contours, and generally speaking, odd harmonic structures, so the fusion of these just sound like imaginary combinations of the underlying materials.
I started off with a roughly 700mb corpus, which turned into 6.75GB after the batch processing (patch below), and then Max pleasantly informs me that my memory usage is actually double that:
(I guess this is that old thing where Max loads all buffers as 32bit regardless of their native format? @a.harker has a good work around for vanilla buffers, but I guess for polybuffer~
there’s not a suitable solution? (I’ll post a thread querying on the Max forum))
With only 1700ish samples I’m already starting to knock on the door of RAM limits, which is pretty crazy. I guess if latency weren’t an issue, I could do the HPSS in “real-time” on the source samples rather than pre-rendering them, but that wouldn’t really be possible with the NMF (or at least, not easily). BUT you know me, I have no time for latency…
I plan on doing another version of this where I analyze each layer/channel and then query based on some criteria. Initially I’m thinking purely pragmatic ones, like time centroid, and derivative of loudness, so the sounds have roughly a similar fade out (I used only short/medium-lengthed samples for this as things get real big real quick this way…).
What would be great is to then be able to query for a sample that could be made up of these individual layers and components (i.e. the closet match to my incoming audio would be an arbitrary combination of the available layers). For something like loudness, I could see doing some maths and choosing the n amount of samples that most closely sum up to the desired amount, but for other descriptors that gets really complicated.
I’ve not really used AudioGuide, so I have no idea how it does the layered stuff it can do, but does it just run permutations of the available options and choses the best match? Is something like that possible (in the future) with the TB2 stuff?
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-----------end_max5_patcher-----------