noise-suppression-for-voice VS AutoEq

Yes, I think it pipes the default input (source) to the default output. I have a noise cancelling source and if I switch to it the loopback follows it and I hear the de-noised one

For linux: https://github.com/werman/noise-suppression-for-voice

Frankly, what I hear is very similar to the results of classic spectral denoising, even with the characteristic artifacts (for Linux, there's Noise Repellent [1] available for advanced spectral denoising; there's also a ton of commercial spectral processors).

The demonstration could use more random background noises to separate it from spectral processors, and more varied vocabulary to separate it from RNNVoice [2] which tends to suppress breath and parts of sibilants, making the sound unnatural. The latency is also important - is it as low as in RNNVoice? What about the CPU load?

[1] https://github.com/lucianodato/noise-repellent

[2] https://github.com/werman/noise-suppression-for-voice

Nice, hopefully you or somebody else will turn this into an easy to use PipeWire plugin, so I can replace noise-suppression-for-voice.

I use this plugin to remove the sound of my air conditioner, which can be quite loud: https://github.com/werman/noise-suppression-for-voice

This comes very close to RTX Voice while being multiple times more efficient. Not as good as RTX Voice but I prefer much lower HW usage.

bonus points if you use equalizerAPO + a VST plugin for noise suppression if you really need to suppress noise.

I like the RNNoise plugin so much I ended up using it in my audio tracks too when doing vocals.

equalizerAPO + https://github.com/werman/noise-suppression-for-voice

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)