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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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Using RNNoise as VAD source / Way to improve VAD

Date: 2017-12-08 08:28 am (UTC)
From: (Anonymous)
Hello.
First of all, thanks for great work.

Recently, I needed VAD on my application and found that RNNoise has VAD output. So I tried use VAD output of RNNoise.
I commented out code not related with VAD, and made prototype of the app. It works quite nicely despite its small calculation size. But on some audio samples, VAD fails.

I'm trying to improve VAD by adding feature size and neural net size.
Can you give me some hint to improve VAD quality?

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