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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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RESIDUAL NOISE PROBLEM

Date: 2017-10-09 08:21 am (UTC)
From: (Anonymous)
Hi Jean Marc,
According to the audio samples you provided, it seems that the RNNoise has more residual noise than the speex. Do you think it will perform better with more noise samples for training?

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