# Class "interpolation" (distance to classes)

**URL:** https://discourse.flucoma.org/t/class-interpolation-distance-to-classes/1903
**Category:** Usage Questions
**Created:** [May 7, 2023, 12:34pm UTC](https://discourse.flucoma.org/t/class-interpolation-distance-to-classes/1903 "2023-05-07T12:34:08Z")
**Posts on this page:** 1
**Showing post:** 9

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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 9, 2023, 11:22am UTC](https://discourse.flucoma.org/t/class-interpolation-distance-to-classes/1903/9 "2023-05-09T11:22:34Z")

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> [@a.harker](#):
>
> It depends how they are detecting the classes…

It’s all closed source, so not sure, but from [this thread ages ago](https://discourse.flucoma.org/t/reverse-engineering-real-time-mlmatching/) I remember finding this:  
 ![b0a315b38311ba316bc732a7f32d3e79a3bf2956_2_386x500](https://discourse.flucoma.org/uploads/default/original/2X/0/0d36336b67372e918a476faf3a7478e951280824.jpeg)

So fundamentally MFCCs-\>classifier, with the “geometric interpretation engine” (and instant “fitting” in their software) leading me to believe that it’s a KNN-type thing.

No clue what that “neural network trained on pre-labelled data” part means, as it’s at the spectral analysis stage.

> [@a.harker](#):
>
> …some kind of spectral similarity measure…

As in another descriptor type?

The sound difference is fairly subtle:  
[center and edge example.wav.zip](https://discourse.flucoma.org/uploads/short-url/fDnJEo80KzqjdEbOauE4f6l5liL.zip) (167.3 KB)

For certain they are using “timbre” as a metaphor here (well I guess it’s always a metaphor in a computer) and instead doing something with the classes/differentiation. Part of the reason why I didn’t implement something like this before was that I was happy with just having “real” timbral descriptors going on (loudness/centroid/flatness/etc…) so wasn’t fussed about this specific idea or implementation, but for rounding things out in the toolbox, it would be handy to have.

I plan on computing the means today to see if I can do something with that (step2 above).

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