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Real-Time Noise Suppression Using Deep Learning

devblogs.nvidia.com

11–20 of 73 posts

Re: Real-Time Noise Suppression Using Deep Learning

#11
post #10
post #5

https:// > devblogs.nvidia.com uses an invalid security certificate. Certificates issued by GeoTrust, RapidSSL, Symantec, Thawte, and VeriSign are no longer considered safe because these certificate authorities failed to follow security practices in the past.

> Certificates issued by GeoTrust, RapidSSL, Symantec, Thawte, and VeriSign are no longer considered safe because these certificate authorities failed to follow security practices in the past. Those are some pretty big names. Names where reasonable companies could believe that nobody would ever dare enforce the rules against them, because it would break the Web. Who says nobody ever got fired for buying IBM? Heck. If…

They were all subsidiaries of Symantec when their various faults occurred leading to the Symantec distrust; it's all just the Symantec distrust.

Re: Real-Time Noise Suppression Using Deep Learning

#12
I am really impressed with what Nvidia is doing here.

I think there is a huge market for improving sound quality in video calls.

For me, roughly every second call I make is somehow harmed by some kind of "bad audio" problems. Breathing, reverb, noise, clipping, too silent, there are so many things that can go wrong.

And this really harms the productivity of video calls.

I have started collecting and building tools to detect all of these sources of bad audio and am collecting them at https://www.tinydrop.io Maybe these APIs can help people to improve their setup. But if software like Nvidia's comes along and just fixes the problem once and for all - that's great as well!

Re: Real-Time Noise Suppression Using Deep Learning

#13
Really impressive results, though I wish they had gone more into the deep learning part of it (but I guess that's probably the secret sauce).

Can't help but notice how well Nvidia is positioned for what appears to be a growing wave of demand for GPUs. Surprised this hasn't reflected in their share price (feels like they could be the next Intel, but what do it know).

Re: Real-Time Noise Suppression Using Deep Learning

#16

I am really impressed with what Nvidia is doing here. I think there is a huge market for improving sound quality in video calls. For me, roughly every second call I make is somehow harmed by some kind of "bad audio" problems. Breathing, reverb, noise, clipping, too silent, there are so many things that can go wrong. And this really harms the productivity of video calls. I have started collecting and building tools to…

Disclosure: I'm the author of the blog post and co-founder at 2Hz.

This is a guest post on NVIDIA Developer Blog. The author of the technology is a startup called 2Hz (2hz.ai). Our passion is to improve voice audio quality in audio/video calls. It's a tough problem but also fun to work on.

Agree, breathing, reverb, noise are all problems and should be fixed. We started with noise and already shipped a product you can try on your Mac. The app is called Krisp (krisp.ai).

Reverb, breathing, voice cutting will come next.

Re: Real-Time Noise Suppression Using Deep Learning

#17

I am really impressed with what Nvidia is doing here. I think there is a huge market for improving sound quality in video calls. For me, roughly every second call I make is somehow harmed by some kind of "bad audio" problems. Breathing, reverb, noise, clipping, too silent, there are so many things that can go wrong. And this really harms the productivity of video calls. I have started collecting and building tools to…

Some unsolicited feedback. when you list your features could you list the text under the image ?. its a bit tedious to click on each image to get a quick idea about the product. the text is worth a lot more than the picture but is completely hidden.

Re: Real-Time Noise Suppression Using Deep Learning

#18
post #14

Does this deep learning noise cancelling also work for music with headphones? If so then we can ditch proprietary noise cancelling headphones and just use the phones?

Disclosure: I'm the author of the blog post.

Not really. What works inside noise canceling headphones is a very different technology, called Active Noise Cancellation (ANC). You don't necessarily need Machine Learning to solve the problem.

The technology described in the blog post is for suppressing the noise which goes from your surrounding environment to the other participants of the call (and vice versa).

Re: Real-Time Noise Suppression Using Deep Learning

#19
post #14

Does this deep learning noise cancelling also work for music with headphones? If so then we can ditch proprietary noise cancelling headphones and just use the phones?

Active Noise cancelling(ANC) headphones are really sensitive to latency.

Take An ANC with 0 latency, that stops cancelling noise at 8 khz, and add a 50 usec latency to it, now will stop cancelling noise at ~1.5 khz.

But This article talks about 20ms latency.

Re: Real-Time Noise Suppression Using Deep Learning

#20
post #5

https:// > devblogs.nvidia.com uses an invalid security certificate. Certificates issued by GeoTrust, RapidSSL, Symantec, Thawte, and VeriSign are no longer considered safe because these certificate authorities failed to follow security practices in the past.

yes, that was unfortunate as I cannot see the post, but the title seemed interesting

Here you go (as an image on imgur) - https://i.imgur.com/7DGvmcI.jpg
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