How we made our ML audio pipeline 37% faster on real hardware

At Edge Impulse we enable developers to build and run their machine learning on small devices, think microcontrollers running at 80MHz sporting 128K of RAM detecting audible events. And because we operate on sensor data, it's important that our algorithms can run in real-time; no-one wants to have their device activate a minute after you say a keyword.

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