Amazon is now offering the new and unreleased AirPods with a $4.01 discount. If we take a look at Apple’s new product, the third-gen AirPods we will discover that the retail is $179. However, as of Oct. 25 only a day before the official release, you’ll pay just $174.99. In order to receive this price, you must pre-order a pair from Amazon.
American multinational technology company Amazon will offer this interesting deal to those willing to get their hands on the new pair of AirPods. treat for anyone who wants to snag a pair of the new third-generation AirPods ahead of their official release tomorrow.
Besides, this new model, which marks the third generation of AirPods includes an innovative feature. Essentially, it shows that in-ear headphones can now estimate respiratory rate from the sound your breath makes. “Respiratory rate (RR) is a clinical metric used to assess overall health and physical fitness. This work investigates a model-driven approach to estimate RR from short audio segments obtained after physical exertion in healthy adults. Data collected from 21 individuals using microphone enabled, near-field headphones before, during, and after strenuous exercise, RR was manually annotated by counting perceived inhalations and exhalations live”.
New And Old Features On The New AirPods
If we take a look at this new product, we will be able to find a bunch of updated features. Amongst them, a new low distortion driver for improved bass. Support for Apple’s spatial audio technology for immersive, three-dimensional listening in Apple Music. Besides, it offers “Adaptive EQ” feature (previously exclusive to the Pros) that tunes their sound in real-time based on their fit. As always, AirPods will deliver good listening hours with an extended battery life that offers up to six hours. This new pair of headphones will also support MagSafe wireless charging and sweat and water resistance.
On the other hand, Apple has kept the H1 chipset once again, so the AirPods 3 should deliver the same effortless connectivity and zippy performance as before.
