DeepFilterNet is a real-time noise suppression library using deep filtering. Current version 0.5.6 supports Python >=3.8,<4.0. It provides a pre-trained model for speech enhancement with low latency, suitable for audio processing pipelines.
pip install deepfilternetNo compatibility data collected yet for this library.
Verified import paths — ran on the pinned version, not inferred.
Basic noise suppression on a WAV file.
Use librosa.resample or scipy.signal.resample to convert to 16000 Hz.
Replace `model.denoise(audio, sr)` with `model(audio, sr)`.
Use `from deepfilternet import DeepFilterNet` directly.
Process audio in segments (e.g., 10 seconds) and concatenate results.