DeepFilterNet
7.6#1 in software composition analysis softwareFree planFree planAPILinuxmacOSSelf-hosted
Visit| Fact | DeepFilterNet | HushMic |
|---|---|---|
| Distribution | The project provides precompiled binaries through its GitHub releases and a Python wheel through PyPI. | The project lists installation options for Debian or Ubuntu, Arch Linux, Fedora, NixOS, and AppImage. |
| Latency | The LADSPA plugin has a minimum latency of 20 ms from STFT processing, plus latency from the LADSPA host. | The project reports 80 ms of processing latency, plus PipeWire's own buffering. |
| License | The repository code is free and open source under either the MIT License or Apache License 2.0, at the user's option. | HushMic is available under either the MIT or Apache-2.0 license. |
| Noise suppression | Its command-line tool suppresses noise in WAV recordings. | It uses the DPDFNet model to reduce keyboard noise, fans, and background chatter from microphone audio. |
| Purpose | DeepFilterNet is a low-complexity speech enhancement framework for full-band 48 kHz audio using deep filtering. | HushMic provides real-time microphone noise suppression for Linux as a system-wide virtual microphone. |
No prices published.
It suits people seeking WAV noise suppression or a real-time noise-filtering path through LADSPA and PipeWire. Developers can also use the Python package or train with HDF5 datasets, with training tested only on Linux.
HushMic suits Linux users who want system-wide microphone noise suppression and locally processed audio. It requires PipeWire and WirePlumber, with an additional component for PulseAudio apps.