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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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Cutting out environmental noise

Date: 2018-01-11 08:47 am (UTC)
From: [personal profile] h3yfinn
Hey there, I'm trying to find a way of detecting any voice in a public(new zealand rural) area. This is so I can scrub private conversations from publicly record files and then analyse the remaining files for birdsong.
We have quite poor quality recordings so I thought your algorithm may be quite useful to remove background noise so we can more easily detect voice (which otherwise we cannot at all detect using a webrtcVAD algorithm). I'm just setting it up now. Thought I'd put this here in case you had any idea whether your algorithm would work like I hope.

Thanks a lot,

Re: Cutting out environmental noise

Date: 2018-06-07 10:37 am (UTC)
From: (Anonymous)
For such purposes, you need a source separation framework and not noise cancellation. Ping me at praveshb @ iiitd dot ac dot in if you want know more.

Thanks

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