“Drawing on our strength in multimedia, DSP, and the many years we spent on video AI, it was natural for us to see what we can do with AI in the field of audio analytics. We understand semiconductors and the MCU/SoC ecosystem very well. This opened up an interesting opportunity to implement real-time audio analytics on embedded devices, paving the way for the first engagement with a lead customer”
Sanjay Jayakumar, CEO of Ignitarium
Ebook expanded cover of Edge AI - Enabling Smart IoT Applications

Discover the Real-World Impact of Edge AI

Explore in-depth use cases that show how edge AI is powering the next generation of IoT, solving real-world problems, driving faster decisions, and lowering costs through smarter operations right at the device level.

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KEY TAKEAWAYS
  • Ignitarium provides Arm-powered audio AI for real-time noise suppression on microcontrollers.
  • Arm Cortex-M cores enabled efficient audio AI within devices under 30 KB RAM.
  • CMSIS-NN and DSP support allowed hybrid signal processing for low-latency enhancement.
  • Arm’s low-power architecture enabled continuous on-device voice processing without the cloud.
  • With Arm, Ignitarium created scalable, cost-effective voice solutions for embedded systems.

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