Your Nvidia GPU Might One Day Make Your AirPod Calls Sound Better

A small group of computer science and engineering students at the University of Washington have designed a new set of wireless headphones that use AI-powered technology to provide a better pattern of background noise cancellation during phone calls.

The headphones – which students dubbed ClearBuds, a great name in our opinion – work by monitoring two separate audio streams from the microphones on the left and right buttons to create a spatial audio soundscape, sending the data to a phone that runs a pair of neural networks to clean up background sounds.

The first neural network suppresses any sound other than the caller’s voice, while the second amplifies and improves the clarity of that voice. The result is a significant improvement in background noise removal, which students found 6.94 dB better than the Apple AirPods Pro.

(Image credit: Nvidia, University of Washington)

Both neural networks were trained over the course of a day, utilizing the AI ​​deep learning capabilities of Nvidia’s Titan desktop GPUs. Nvidia has made a point of emphasizing the potential of AI to improve games via DLSS, but also how we use technology in all areas of life, recently setting up a new program for companies to start implementing AI technology at the enterprise level. AMD is even getting involveddespite previous reviews to the contrary.

Analysis: Amazing technology that will need an industry shift to become useful

Diagram showing how ClearBuds record external noise as spatial audio and send it with the speaker's voice to a telephone, which processes the audio streams through a neural network.

(Image credit: Nvidia, University of Washington)

At this point, most wireless headphones implement some level of active noise cancellation (ANC), which works but monitors outside sounds through a microphone and creates an inverted sound wave signature to cancel them out. Some are very good, but this new technology could lead to a jump in ANC performance.

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