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Comment by piceas | Hacker News Reader

I was curious how RNNoise would perform on a noisy street scene. I grabbed a section from a random noisy video and ran it through RNNoise as well as light naive use of the noise removal plugin in Audacity sampled from the 43rd second. The speaker distortion, as noted by ZeroGravitas from their fancy example, is quite evident but I'm still pretty impressed.

audacity screenshot https://d4344e4d9b25f298d9ea-790118db7dd23376c2de685644429e7...

input https://d4344e4d9b25f298d9ea-790118db7dd23376c2de685644429e7...

RNNoise https://d4344e4d9b25f298d9ea-790118db7dd23376c2de685644429e7...

naive audacity filter https://d4344e4d9b25f298d9ea-790118db7dd23376c2de685644429e7...

source https://www.youtube.com/watch?v=4HpF-IoK2y8

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I'm not sure how the audacity works exactly, but keep in mind that one goal of RNNoise is real-time, so it cannot look ahead when denoising. OTOH, if you're denoising an entire file, then you should look at the whole file at a time. This makes it easier to make accurate decisions about what to keep and what to discard.

Thank you for these samples, very cool.

To me it sounds like we've got some room for improvement all-around... but color me impressed. I'm also always impressed by Audacity's noise removal when I use it for stupid simple voice-overs. I'd bet this deep learning approach will do nothing but improve, quickly.

Well there are different tools to clear up a audio track.

$50 will get Audio Cleaning Lab. If I was home I would do a quick auto clean and then hand scrube the file. http://www.magix.com/us/audio-cleaning-lab/detail/

$1199 will get you iZotope’s RX. I actually normally get better results form the $50 one then when I use this tool at a friend's shop. https://www.izotope.com/en/products/repair-and-edit/rx-post-...

Spectral editors are amazing for removing certain sounds and keeping the over all sound intact. This is where we need to move into. Editing at the Spectral level, which will have a much higher CPU overhead.

Here is a great article showing the different hands on techniques for noise removal. https://www.soundonsound.com/techniques/noise-reduction-tool...

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