Today, chip designer Arm has announced its Helium technology, the new M-Profile Vector Extensions (MVE) for the Armv8.1-M architecture. This new technology promises to deliver enhanced machine learning and signal processing for the smallest embedded devices.

As an Arm partner, we had early access to the new extensions and we can reveal that our already lean sound recognition software (ai3™) will be at least 50% faster when running on chips based on the new Armv8.1-M architecture. As a result, we believe that the performance enhancements made possible by these new vector extensions will offer a major step change in tinyML.

Commenting on the launch, Dr Chris Mitchell, Audio Analytic’s CEO and founder said: “There is considerable demand to run advanced AI, like sound recognition, at the edge. Principally because cloud infrastructure is expensive and edge-based processing offers privacy benefits for end users. Now, thanks to Arm, consumer and IoT devices can deliver supercharged AI at even lower-power and lower-cost. The net result is being able to fit more features onto a device or being able to offer AI on an AA battery.”

Audio Analytic’s VP of Technology, Dominic Binks added: “With Helium, next-generation Cortex-M processors gain the vectorising capabilities of Neon-class processors, along with other new capabilities, which together deliver tangible improvements in performance, and cost, in the microcontroller space.” You can read more from Dominic’s blog on why Helium matters here.

We are excited to see our customers launch revolutionary new products and services with our world-leading sound recognition technology running on these next-generation Cortex-M CPUs.


Learn more from Arm here.



Like this? You can subscribe to our blog and receive an alert every time we publish an announcement, a comment on the industry or something more technical.


About Audio Analytic

Audio Analytic is the pioneer of AI sound recognition software. The company is on a mission to map the world of sounds, offering our sense of hearing to consumer technology. By transferring our sense of hearing to consumer products and digital personal assistants we give them the ability to react to the world around us, helping satisfy our entertainment, safety, security, wellbeing and communication needs.

Audio Analytic’s ai3™ sound recognition software enables device manufacturers and chip companies to equip products with Artificial Audio Intelligence, recognizing and automatically responding to our growing list of sound profiles.