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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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Amateur Radio

Date: 2017-12-16 08:08 am (UTC)
From: (Anonymous)
Hi JMV,

In Amateur Radio noise suppression is always a big topic. I've added your project into a SDR receiver - if you're not into SDR see www.sdr-radio.com . Anyway it's working well when the audio is above the noise, when the noise and audio are both at the same level I can lose the audio.

This isn't a complaint - just an observation, your code isn't really designed for this situation. Now if only I could get you interested the Amateur Radio your skills would have a big impact on noise reduction.

Thanks for this project, I'll be following it closely.

Re: Amateur Radio

Date: 2017-12-16 08:09 am (UTC)
From: (Anonymous)
BTW - I'm Simon@sdr-radio.com - I should have said that :) .

Simon G4ELI

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