Thursday, November 21st 2019

ASUS Deploying AI for Noise Cancellation Technology in Upcoming ROG Strix Go 2.4 Headset

ASUS- upcoming ROG Strix Go 2.4 headset may well grab more headlines than this one here at TechPowerUp, since the company has decided to integrate the latest buzzword in their upcoming product (missing is a "Gaming" addition). According to ASUS, the ROG Strix Go 2.4-s bi-directional boom-mic uses a noise-cancelling algorithm to block out up to 95% of unwanted noise, ranging from rage-induced keyboard mash-ups through nagging significant others (just kidding, they never nag). ASUS says that the algorithm they've deployed in these noise-cancellation features has been trained on a database of over 50 million records for tens of thousands of hours. But noise-cancellation with no discernible output sound quality wouldn't a driving product make, and so ASUS has included their 40 mm Asus Essence drivers on these headphones, which ASUS says have a penchant for Bass, and have been conditioned in an airtight chamber for reduction of any parasitic sounds.

The headset features a wireless 2.4 GHz connection and includes a USB-C dongle for mobile devices (the headset also includes an additional, smaller mic for use on the go) - a compromise between mic quality and noise-cancellation capabilities and the ability to drink your coffee. A USB-A and 3.5 mm driver are also included with the package. ASUS claims a 25H battery life, and a claimed 3 hours of sound with a 15 min charge of the on-board 900 mA battery. Weight for the ROG Strix Go 2.4 comes in at just 0.6 pounds (290 g). The whole affair is portable and compact, ASUS even throws in a carrying pouch. The ROG Strix Go 2.4 launches in December for £159.99, but U.S. pricing and availability haven't been announced yet.
Sources: ASUS, via Tom's Hardware
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4 Comments on ASUS Deploying AI for Noise Cancellation Technology in Upcoming ROG Strix Go 2.4 Headset

very interesting, I'm looking into wireless headphones right now
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AI is the new 3D or Y2K compliant.
Wth do you need AI to cancel noise? Take ambient noise, invert the wave and add it to the output - noise cancelled. You don't need AI to do that.
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