DeepFilterNet is a low-complexity speech enhancement framework for full-band 48 kHz audio.
It’s designed to suppress noise in speech recordings and live microphone input, and the project combines Rust and Python components for enhancement, training, evaluation, pretrained models, and real-time integration. It also provides a command-line tool for processing noisy WAV files and includes a LADSPA plugin for PipeWire-based microphone noise reduction.
This is free and open source software.
Key Features
- Enhances noisy speech audio using deep filtering for full-band 48 kHz audio.
- Provides a precompiled
deep-filtercommand-line binary for noise suppression without Python dependencies. - Includes a LADSPA plugin with PipeWire filter-chain integration for real-time microphone noise reduction.
- Offers Python packages for audio enhancement workflows and training-related functionality.
- Supports Linux, macOS, and Windows for the framework, with training tested on Linux.
- Ships with pretrained model weights for DeepFilterNet-based enhancement.
Website: github.com/rikorose/deepfilternet
Support:
Developer: Rikorose
License: Apache License 2.0 and MIT License
DeepFilterNet is written in Python. Learn Python with our recommended free books and free tutorials.
Related Software
| Noise Suppression Tools | |
|---|---|
| NoiseTorch-ng | Creates a virtual microphone that suppresses noise |
| noise-suppression-for-voice | Noise suppression plugin based on RNNoise |
| Easy Effects | GTK4 audio manipulation which includes a range of tools |
| noise-repellent | Suite of lv2 plugins for noise reduction |
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