RNNoise: Learning Noise Suppression
Sep. 26th, 2017 10:24 pm![[personal profile]](https://www.dreamwidth.org/img/silk/identity/user.png)

This demo presents the RNNoise project, showing how deep learning can be applied to noise suppression. The main idea is to combine classic signal processing with deep learning to create a real-time noise suppression algorithm that's small and fast. No expensive GPUs required — it runs easily on a Raspberry Pi. The result is much simpler (easier to tune) and sounds better than traditional noise suppression systems (been there!).
training
Date: 2019-03-01 05:53 am (UTC)Thanks for this great project. I'd like to train this suppression myself and have downloaded the github version, but I don't see any scripts or way of creating the noisy mixtures as you've described in your paper (with the random filtering, etc.). Are you willing to share the training scripts with us?
Thanks,
Chris