DeepFilterNet implements deep filtering techniques for speech enhancement, achieving real-time noise suppression on full-band audio. The framework uses neural network-based spectral processing and includes a Rust implementation for efficient inference. It provides both a Python training pipeline using PyTorch and pre-compiled binaries for real-time audio processing, with LADSPA plugin integration for PipeWire virtual microphone filtering.