The quality of the mapping is entirely subjective. Person to person and corpora to corpora a different kind of mapping will work better for known and tacit goals with the results.
The work I am doing now has the ability for me to compare different plots as well as to experiment with another layer of processing that runs clustering on the output of the dimensionality reduction. I then manually play through the clusters to see how well the groupings seem to me, in terms of how 'close' the audio samples are together and how well a cluster is differentiated from another.
I hope to have some documentation on my project soon as its going to be part of my dissertation in music technology.
Also, to answer your question about guitar pedals - Stefano Fasciani has done some work on finding smoother parameter combinations across chaotic synthesisers.
The work I am doing now has the ability for me to compare different plots as well as to experiment with another layer of processing that runs clustering on the output of the dimensionality reduction. I then manually play through the clusters to see how well the groupings seem to me, in terms of how 'close' the audio samples are together and how well a cluster is differentiated from another.
I hope to have some documentation on my project soon as its going to be part of my dissertation in music technology.
Also, to answer your question about guitar pedals - Stefano Fasciani has done some work on finding smoother parameter combinations across chaotic synthesisers.
https://youtu.be/yMLl7-aI_kc
That is perhaps up your alley!