kunst VS noise-repellent

Music: Music Player Daemon (The ALSA of music players!) MOC (Terminal frontend for MPD) ncmpcpp (Anyone who tells you there's a better music player for Linux than this, is a scammer!) kunst (Even blind people need Album Art to listen music ;) Spicetify (Spicey Spotify with pywal!)

It looks amazing I will definitely give it a try. I've already installed kunst, but I've found it crashes a lot.

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

Plugins: LSP Plugins DISTRHO Plugins Calf Plugins TAP Plugins Noise-Repellent (The best thinge ever!)

The only thing it is missing natively which Audacity had built-in is background noise filtering; but that is easily accomplished with a plugin such as Lucian Dato's Noise Repellent.