#KRISP SOUND WINDOWS#

But now comes the moment of truth: will anyone pay for it? It works - I’ve tested it, as have thousands of other users during the beta. A mobile version is on the way for release later this year. You could even use it to record podcasts when there’s a leaf blower outside. So if they’re in a noisy street and you’re safe at home, you can apply the smart noise reduction to them as well.īecause it changes the audio signal before it gets to any apps or services, it’s compatible with pretty much everything: Skype, Messenger, Slack, whatever. It can also mute sound coming the other direction - that is, the noise on your friend’s side.

By definition pretty much everything else is just noise - so the model just sort of subtracts it from the waveform, leaving your audio clean even if there’s a middle school soccer team invading the cafe where you’re running the call from. The machine learning model the company has created is trained to recognize the voice of a person talking into a microphone. But unlike many of them, it uses the technology in a fairly straightforward, easily understandable way. Like so many apps and services these days, Krisp uses machine learning. I first encountered Krisp in prototype form when we were visiting UC Berkeley’s Skydeck accelerator, which ended up plugging $500,000 into the startup alongside a $1.5 million round from Sierra Ventures and Shanda Group.

#KRISP SOUND WINDOWS#

The app, now available on Windows and Macs after a long beta, uses machine learning to silence the bustle of a home, shared office or coffee shop so your voice and the voices of others comes through clearly. Background noise on calls could be a thing of the past if Krisp has anything to do with it.

Krisp sound