Real-time microphone noise suppression on Linux.

Noise supression using deep filtering

An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.

Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.

A high-performance, modular audio & MIDI engine for .NET 8+. A complete toolkit for the entire audio lifecycle: Playback, Recording, Multi-track Editing, Pro Synthesis (MPE/SF2), Real-time DSP, and Visualization. Includes a unique security suite for AES-256 encryption, acoustic fingerprinting, and watermarking. Featuring SIMD and NativeAOT support.

Real-time microphone noise suppression for Linux as a system-wide virtual mic (DPDFNet + PipeWire).

A simple Python wrapper for audio noise reduction RNNoise. Simplifies work with it, adds new trained models and detailed instructions for training.

Clean up noisy speech in real time with DPDFNet - open-source streaming speech enhancement for research, audio apps, and edge devices. Includes pretrained models, PyTorch code, ONNX/TFLite inference, 8/16/48 kHz support, and live demos.

Noise suppressor nodes for Web Audio API.

On-device noise suppression powered by deep learning

a python library for speech enhancement

Free real-time AI Noise Gate VST3/AU plugin. Removes coughs, sneezes, and other artifacts from your live streams, podcasts, and videos.

Realtime audio separation running fully on-device across iOS, macOS, Android, Linux and Windows

TCNN Temporal convolutional neural network for real-time speech enhancement in the time domain

Python bindings of speexdsp noise suppression library

Gated Convolutional F-T-LSTM Neural Network

A Java wrapper for RNNoise

Example project to demonstrate the RNNoise audio noise suppression algorithm running on a Raspberry Pi Pico 2 board, using the RP2350's Cortex-M33 processor.

On-device voice isolation, wake words, voice activity and voiceprints. In the browser (WebAssembly) and in Python, with plugins for LiveKit Agents and Pipecat. Apache-2.0 code and weights.

Real-time, 100% on-device AI noise cancellation for macOS Silicon. Menu-bar app + CLI. (Free Krisp alternatice)