Meet may also enable you to rise above that noise

Taking calls and attending video conferences from noisy places isn’t ideally suited — whether or not you are exterior close to a building website or a cubicle away from a co-worker who’s typing on a keyboard with obnoxiously loud switches — however unidirectional headset mics and dynamic noise-canceling algorithms constructed into video conferencing instruments make life simpler. The latter is the place Google Meet is available in as its ambient noise suppression does a fairly good job of blocking out the noise. With a brand new characteristic, nonetheless, you will know when precisely it is doing the arduous work.


The corporate has revealed in a submit on the Google Workspace weblog a brand new visible indicator for when Meet has activated noise discount.

If you happen to allow noise cancellation, the indicator has three completely different states: if the voice indicator is not seen, your mic is not selecting up any sound; for those who see a “Decreasing noise” pop-up slide out from the voice indicator, Google Meet is filtering out a burst of noise, so the members solely hear your voice — this pop-up ought to seem simply as soon as per assembly, at most; lastly, for those who see a pulsating ring across the indicator, it means Meet is actively canceling out ambient noise. Right here, the dimensions of the ring signifies the noise degree.

The brand new noise indicator can be seen solely when you’ve gotten noise cancellation enabled. Google is already rolling out the characteristic, and it needs to be seen to all eligible customers by the top of August. Google Meet’s noise indicator won’t be accessible for individuals with private Google accounts and low-tier Google Workspace and Enterprise accounts. It’s unique to Google Workspace Enterprise Commonplace, Enterprise Plus, Workspace Particular person, and Workspace Enterprise prospects.

One other current addition particularly for Meet customers in sure Google Workspace organizations enhances background-foreground separation when utilizing blur results and video backgrounds.