noise-suppression-for-voice

> Audio filtering is a pain to set up. Like noise filtering for your microphone? It was pretty trivial to set up: 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 FFT artifacts (for Linux, there's Noise Repellent [1] available for advanced spectral denoising; there's also a ton of commercial spectral processors available). The demonstration could use more random background noises to separate it from FFT noise suppressors (as it's the primary benefit of ML-based filters), and more varied speech to separate it from RNNoise [2] which tends to suppress breath and cut the sibilants in an unnatural manner. The latency is also important - is it as low as in RNNoise? What about the CPU load? [1] https://github.com/lucianodato/noise-repellent [2] https://github.com/werman/noise-suppression-for-voice

The rnnoise filters (or Nvidia’s broadcast / RTX Voice tool) do a great job of suppressing noise. https://github.com/werman/noise-suppression-for-voice

Don’t remember exactly which guide I followed, but I used the build from this repo, and the instructions looks plausible: https://github.com/werman/noise-suppression-for-voice#pipewi...

"One first design choice was to avoid tackling any management logic directly inside PipeWire" That single statement indicates to me that PW has got it right. Also I've been using it for 18 months now on Arch after a brief to and fro with PA where stuff failed badly for a short while. Now it is nigh on flawless and just works. This: https://github.com/werman/noise-suppression-for-voice#pipewi... works really well and I can have my window next to a very busy road open and no one can hear it on Teams. Sorry ... Teams! I use Teams actually 8)

It is possible to use VST2 on Windows. This way you get RNNoise and the advantages of Free software. https://github.com/werman/noise-suppression-for-voice

I've just used a little script that sets up https://github.com/werman/noise-suppression-for-voice and it's worked wonderfully, but PulseEffects and NoiseTorch seem cool!

For me noisetorch [0] (based on RNNoise [1][2]) works pretty good. I'm using RTX Voice while I'm working on Windows and noisetorch while working on manjaro. RTX Voice seems to work a bit better, but noisetorch compares really well to it. I have a microphone which has static noise and is not really mechanical decoupled from my table. Both applications are good at cancelling that kind of noise. Noisetorch is a bit more focused on suppressing noise while you're not talking, which is the use case of the posted article. RTX Voice is better at suppressing noise while talking, which you can hear in Nvidias demos as well. [0] https://github.com/lawl/NoiseTorch [1] https://github.com/werman/noise-suppression-for-voice/ [2] https://jmvalin.ca/demo/rnnoise/

For anyone wanting to try this, it is pretty straightforward - first install noise-suppression-for-voice (AUR package available, binaries available via Github releases). You want to have librnnoise_ladspa.so and librnnoise_lv2.so available. Then identify your current output sink by running `pactl list sinks short`. One will be "RUNNING", and this is your active sink. Keep this name to hand. Create and enable an output sink using this plugin: pacmd load-module module-ladspa-sink sink_name=denoise_sink_for_apps.stereo sink_master=YOUR_OUTPUT_SINK_FROM_ABOVE_HERE label=noise_suppressor_stereo plugin=librnnoise_ladspa.so control=0 The value of sink_master should be the output sink name from above, and the control=0 parameter can be adjusted - that seems to be the voice auto detect threshold. https://github.com/werman/noise-suppression-for-voi

I have mainly used the built in RNNoise support in Mumble. But you can use https://github.com/werman/noise-suppression-for-voice/ and build the VST plugin (This is also what NoiseTorch uses i think). Then use any application that can load VST plugins to pipe your mic through. I have had reasonably good luck with it on Windows with Equalizer APO.

I've recently built the inverse of this using NSFV (https://github.com/werman/noise-suppression-for-voice), i.e. suppressing noise in incoming audio. A lot of people - despite being forced to work from home - simply don't seem to care about the way their audio sounds. Many don't even try to tackle these problems after it's been pointed out to them that they're being a nuisance in online meetings. I gave up on trying to help people fix their setups, or convincing them that it matters, and switched to doing this on the receiver end. It's been a massive quality-of-life improvement. If you're interested in the setup, you basically just need a small script that loads the pulseaudio plugin and wires up the sources/sinks correctly. My setup script is here: https://cs.tvl.fyi/depot@canon/-/blob/tools/nsfv-setup/defau... And some more context: htt

This is a weekend project for me - when I found that Krisp (and hence Discord) wouldn't support Linux, I set out attempting to create a user-friendly GUI which allows you to easily suppress background microphone noise. Do note that this is essentially just a GUI wrapper & nicer usage/installation experience for Werman's noise suppressor plugin for PulseAudio (https://github.com/werman/noise-suppression-for-voice).

I discover software on github quite frequently, via serps. I'm often pissed some obscure piece of software doesn't seem to exist, contemplate writing it myself, decide to append github to the search query and find someone who already wrote it. Litterally a day ago that's how I found https://github.com/werman/noise-suppression-for-voice