librnnoisevst.dll (often referred to as rnnoise-vst.dll rnnoise_stereo.dll
The neural network is trained specifically on voice, meaning it doesn't just cut all audio, but rather tries to preserve the intelligibility of the speaker.
For developers who need the absolute latest version or custom compilation:
Assumptions (reasonable defaults):
Windows systems look for VST plugins in specific default directories. You must move the downloaded librnnoisevstdll file into one of these folders so your host software can detect it. Common paths include: C:\Program Files\VSTPlugins\ C:\Program Files\Common Files\VST3\ C:\Program Files\Steinberg\VSTPlugins\ 3. Configuring Host Software (e.g., OBS Studio)
: Unlike traditional noise gates that use simple volume thresholds, this plugin is trained on hours of noise and voice data to intelligently distinguish between the two. Minimalist GUI : Includes basic controls like the VAD (Voice Activity Detection) Threshold
Because it uses neural network processing, the VST can introduce a small amount of audio latency, which may need to be compensated for in your recording software. librnnoisevstdll
In the world of streaming, podcasting, and video conferencing, background noise is the enemy. Whether it’s a loud mechanical keyboard, a computer fan, or traffic outside, unwanted sounds can ruin the professionalism of your audio. For OBS Studio, Audacity, and other VST-compatible software users, has emerged as a premier, free solution.
And Sibil spoke clearly for the first time in five years:
Copy librnnoise_vst.dll into your VST plugins folder (usually C:\Program Files\VSTPlugins ). If you don't have one, you can simply create it. librnnoisevst
RNNoise revolutionizes this process by combining classic audio signal processing with deep learning.
The RNNoise ecosystem includes the original C library ( librnnoise.so on Unix-like systems), Python bindings, Go wrappers, and—critically for Windows developers—the librnnoisevstdll .