For Blue Chen, the challenge of hearing clearly in a noisy world is personal. Born with hearing loss in both ears, he founded Relajet to make conversations more accessible — using AI that can identify and enhance a single speaker’s voice, even in crowded environments. To deliver this experience in hearing aid-grade devices, Relajet builds on Arm. Their compact voice separation engine runs on Arm-based CPUs, enabling real-time processing with ultra-low power and latency. That means up to 16 hours of smart hearing, in the background, seamlessly. By combining deep learning with efficient compute, Relajet and Arm are redefining what’s possible for on-device AI, ensuring the basics are accessible to all. Learn more: https://www.arm.com/company/success-library/relajet-ai-hearing-devices 0:00 – A personal mission to make hearing easier 0:26 – Solving noise with AI voiceprint tracking 1:38 – Running smarter models on Arm-based CPUs 2:02 – Clearer sound through deep learning and efficient compute Stay connected with Arm: Website: http://arm.com/ Twitter: https://twitter.com/arm Facebook: https://www.facebook.com/Arm/ LinkedIn: https://www.linkedin.com/company/arm Instagram: https://www.instagram.com/arm/

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