AutoEq VS NoiseTorch

I'm trying to follow this general process of EQing laptop speakers, which cites the AutoEQ Github wiki for digitizing a frequency response graph and converting it to CSV. The OP references converting the graphical data from an A-weighted scale to the dB scale, as well as interpolating more data points on their 20-frequency graph. Even without worrying about interpolation, I tried to follow the Github guide and just got hopelessly lost.

I have a topping dx3 pro+ and use https://github.com/jaakkopasanen/AutoEq/tree/master to play around with EQ's

jamesdsp/ An audio effect processor for PipeWire clients. It also uses presets from AutoEq.

what u can do do is go here https://github.com/jaakkopasanen/AutoEq/tree/master/results, pick and download the file for ur headphone and add it in APO equalizer as a second "graphic equalizer with variable bands" that will correct the first EQ with a curve made for ur headphone

Parametric EQ apps for Android can be googled, I use PowerAmp. The Qudelix takes care of all of that with its app to the point where you can load from a giant list of EQ sets they made from community data - Not all of it is accurate, better to go to the source. You can find EQ presets on the oratory1990 subreddit, Amir’s reviews for that particular headphone on Audiosciencereview and crinacle’s as well as rtings here: https://github.com/jaakkopasanen/AutoEq/blob/master/results/INDEX.md

I always recommended hearing before buying, but I'm assuming you can't try many in person so use AutoEQ to get an idea what you like - https://github.com/jaakkopasanen/AutoEq

https://rogueamoeba.com/soundsource/ (this has parametric EQ but it's a bit buried IIRC. It also has built-in support for AutoEQ according to this page so you might have to do almost nothing if you like the Harman curve)

Noisetorch. https://github.com/noisetorch/NoiseTorch

Interesting! How does it compare with NoiseTorch/RNNoise?

Interesting! I'm currently using NoiseTorch-ng. Although NoiseTorch works well, I don't like that you need to reload NoiseTorch every time you change a setting.

I till now haven't figured out how to setup noise reduction in PipeWire. In Pulse, it was very easy. At the present, I'm using https://github.com/noisetorch/NoiseTorch.

(I do like PipeWire)

You could always try NoiseTorch. https://github.com/noisetorch/NoiseTorch

Maybe it will be possible to integrate this or something like this to SteamOS, given it's using PipeWire: https://github.com/noisetorch/NoiseTorch

If Apex allows you to select a mic, you can make a virtual (filtered) one with noisetorch.

Don't know if you are looking for the same - NoiseTorch - Works like a charm.