jmvalin: (Default)
[personal profile] jmvalin
banner

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!).

Read More

Date: 2017-10-03 01:36 pm (UTC)
From: (Anonymous)
Hi Jean Marc,

Impressive Work! Really nice results too. I've been working on a similar project but to be exclusively used with Ardour so it's an lv2 plugin (https://github.com/lucianodato/noise-repellent). I used ME method (Rangachari and Loizou) to estimate noise with it but this method seems to work miles better. Do you mind if I make an lv2 plugin out of your library?
Also did you evaluate using discrete wavelet transform instead of fft+bark scale? I've read in the past few works that get near zero latency with that architecture.
Thank you very much for this. It already taught me few things wasn't aware of.

ladspa-plugin

Date: 2017-10-07 11:44 am (UTC)
From: (Anonymous)
I'd love to see a ladspa-plugin, so that I could watch Youtube-videos & university-lectures denoised with mpv.
Anyone any ideas how hard it would be to create a ladspa-plugin based on it?

I never done anything like this (but have basic C/C++-knowleged)…

Profile

jmvalin: (Default)
jmvalin

September 2017

S M T W T F S
     12
3456789
10111213141516
17181920212223
2425 2627282930

Most Popular Tags

Page Summary

Style Credit

Expand Cut Tags

No cut tags
Page generated Oct. 19th, 2017 11:45 pm
Powered by Dreamwidth Studios