RNNoise: Learning Noise Suppression

[jmvalin]

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!).

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Comments

Spectral non-stationarity metric

[(Anonymous)]

Hi, will you disclose the secret spectral non-stationarity metric mentioned on the xiph page?

Re: Spectral non-stationarity metric

[jmvalin]

Hint: look for "spec_variability" in the source code. I'm not quite sure what the history of that metric is and whether/where it's been published, but it's at least 20 years old.

Re: Spectral non-stationarity metric

[(Anonymous)]

Thanks, I found it. Great work on this! Will you help me settle something I've been thinking way too much about: do you pronounce it "RN-Noise," or "RNN-Noise?"