DeepFilterNet testing

Install requirements

pip install -r requirements.txt

Run DFN on the sample noisy audio files:

python main.py

The processed output files will be written to an output folder.

Run DFN on Modal serverless:

modal run modal_app.py --name noisy_snr0.wav    # or any wav file in samples

Comparison with Krisp

All the files in samples ending with _before.wav are taken directly from Krisp's AI Noise Cancellation demo.

The respective files de-noised by Krisp are present in the krisp directory, which may be compared against the ones in output.