# interpretable (blogs) — RSS Amplifier

Recent posts from the 1 feeds in the RSS Amplifier directory that cover interpretable.

Page: <https://rssamplifier.com/topics/interpretable/blogs>  
Feed: <https://rssamplifier.com/topics/interpretable/blogs.md>

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## [Resonance Inference](http://johnvinyard.github.io/machine-learning/2024/11/21/resonance-inference.html)

_2024-11-21 · Zounds_

In this mini-experiment, I further explore whether playable “instruments” can be extracted from a single audio recording by overfitting a simple model of resonating objects and a sparse control signal. Read more:

## [Iterative Decomposition Model V3](http://johnvinyard.github.io/machine-learning/2024/11/21/iterative-decomposition-v3.html)

_2024-11-21 · Zounds_

There’s a new demo page for v3 of the iterative audio decomposition model I’ve been working on. The model is small and hasn’t had much (less than 24-hours) of training time so far, but doubles the duration of audio segments from the prior model . You can read more and listen to demos here

## [Playable State-Space Model From a Single Audio Sample](http://johnvinyard.github.io/machine-learning/2024/09/23/playable-state-space-model.html)

_2024-09-23 · Zounds_

This work attempts to reproduce a short segment of “natural” (i.e., produced by acoustic instruments or physical objects in the world) audio by decomposing it into two distinct pieces: A state-space model simulating the resonances of the system a sparse control signal, representing energy injected into the system. The control signal can be thought of as roughly corresponding to a musical score,…