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This project documents the process of using Edge Impulse to train a TinyML model to recognize 9 different keywords using the Arduino BLE 33 Sense built-in PDM microphone.

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Martin-Biomed/Arduino_BLE_33_Speech_Recognition

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Arduino_BLE_33_Speech_Recognition

This project documents the process of using Edge Impulse to train a TinyML model to recognize 9 different keywords using the Arduino BLE 33 Sense built-in PDM microphone.

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My Edge Impulse Page can be found here: https://studio.edgeimpulse.com/studio/32648

Components Used in the Project:

  • Arduino Nano 33 BLE Sense
  • DFRobot LCD1602 RGB Backlight Module

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This project documents the process of using Edge Impulse to train a TinyML model to recognize 9 different keywords using the Arduino BLE 33 Sense built-in PDM microphone.

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