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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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Real-time Algorithm

Date: 2017-12-05 02:48 pm (UTC)
From: (Anonymous)
Looking denoised output on spectogram feels so good, great work!

But how can we modify to make it real-time spectogram since you purposely delayed it by a few seconds?

Thank you sir.

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