ML-TN-006 — Keyword Spotting and Asymmetric Multiprocessing on Orca SBC

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NeuralNetwork.png Applies to Machine Learning


History[edit | edit source]

Version Date Notes
1.0.0 December 2021 First public release

Introduction[edit | edit source]

This Technical Note (TN) describes a demo application used to show the combination of an inference algorithm (keyword spotting) and an asymmetric multiprocessing configuration (AMP). This use case can serve as the basis for more complex applications that have to carry out the following tasks:

  • Acquiring data from sensors in real-time
  • Perform a non-trivial inference algorithm on the collected data.

In such a scenario, the power and the flexibility of the NXP i.MX8M Plus can be of much help, as this SoC features a heterogeneous architecture and a Neural Processing Unit (NPU). The idea is to use

Testbed[edit | edit source]

Implementation[edit | edit source]

Testing[edit | edit source]