# Dimensionality reduction, disparate spaces, and speed

**URL:** https://discourse.flucoma.org/t/dimensionality-reduction-disparate-spaces-and-speed/488
**Category:** Pre-Release Toolbox2 New Ideas
**Created:** [May 16, 2020, 5:15pm UTC](https://discourse.flucoma.org/t/dimensionality-reduction-disparate-spaces-and-speed/488 "2020-05-16T17:15:16Z")
**Posts on this page:** 1
**Showing post:** 3

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### Author: ![rodrigo.constanzo](https://discourse.flucoma.org/user_avatar/discourse.flucoma.org/rodrigo.constanzo/32/12_2.png) [@rodrigo.constanzo](https://discourse.flucoma.org/u/rodrigo.constanzo)
#### Post date: [May 16, 2020, 10:31pm UTC](https://discourse.flucoma.org/t/dimensionality-reduction-disparate-spaces-and-speed/488/3 "2020-05-16T22:31:32Z")

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Hmm, that’s a good way to put it. As a mapping thing.

> [@weefuzzy](#):
>
> As such, it’s a matter for you to give it examples of how X maps to Y, see if you like the general results, then perhaps add more examples, or go back with different features, and generally rinse / repeat.

What if what I want is to tell it “things that sound like each other, should be mapped to each other”. Like, is there an _un_supervised supervised algorithm where you just use (perceptually meaningful) descriptors to train the regression algorithm?

I suppose it’s easy enough to give it examples of what kind of sounds might be used as inputs (by playing a range of sounds/techniques (though this would, conceptually, feel a bit limiting if I’m defining the field before playing ball (not a useful metaphor I realize, since that’s exactly how you _play ball_))), but it would be harder to do with arbitrary samples.

Again, I suppose part of it would be to create some kind of dimensionally reduced space/map, then browse the clusters and be like, I want to trigger _those_ kinds of sounds with _these_ kinds of sounds, but those are the kinds of decisions and processes that I’d like to, as much as possible, avoid. I haven’t fully unpacked why, but this kind of (pre)compositional decision making and thinking I find quite uninspiring/uninteresting. Not opposed to it, just the opposite of excited about the prospect.

Like, I’d sooner accept a slightly more arbitrary algorithmically, but conceptually more simple, “mapping the expressive range of each to each other”.

> [@weefuzzy](#):
>
> You could always have a mapping between a dimension reduced lookup space and a non-reduced real-time input.

That’s interesting. It strikes (struck?) me that something like that may have to be the case when working with tiny windows and/or staggered windows, where the “legit” ML route might not be quick enough. (I’m bumping [the hybrid stitching thread](https://discourse.flucoma.org/t/hybrid-layered-resynthesis-3-way/445/21) with my findings so far on this approach).

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