rnnoise VS noise-suppression-for-voice

Sure.

Carla: https://github.com/falkTX/Carla

It lets me install any normal audio pro audio plugins, for example https://github.com/xiph/rnnoise

It also does some cable management, but qpwgraph is maybe better for that.

I looked at your code and the approach (IMO) is kind of bad.

If you want to solve the problem of "voice changer", you can skip the UI entirely and just use plugin parameters. You can also skip the problem of managing the connections. And when you publish your work, every pro audio software (Ableton, Reaper, whatever) can use your audio processing.

Hope that helps.

Interesting! How does it compare with NoiseTorch/RNNoise?

Das ist eine open source lib. Damit sollte das klappen. https://github.com/xiph/rnnoise/blob/master/examples/rnnoise_demo.c

RNNoise (behaves similarly to RTX broadcast/voice/whatever the fuck they're calling it now, but with significantly better performance) - plugs into OBS or other programs flawlessly

OBS ships with rnnoise noise reduction, which is like NVIDIA Broadcast, but works on any CPU. See also NoiseTorch and EasyEffects if you're on Linux.

It's pretty great, works decently, but the sad thing is the author put it out a few years ago, wrote a paper and then moved onto something else and it's pretty much unmaintained and requires some very specific ML knowledge.

https://github.com/xiph/rnnoise

I found this tool https://github.com/xiph/rnnoise and this guide that doesn't have ubuntu guide https://medium.com/@gamunu/linux-noise-cancellation-b9f997f6764d

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