Embedded Machine Learning - Wake word detection

Arduino IDE

Nano 33 BLE Sense

<ul ><li >This model was trained using Google Colab</li></ul><ul ><li >Visualized with TensorBoard</li></ul><ul ><li >Dataset used SpeechCommands</li></ul><ul ><li >Model was converted to TensorFlow Lite</li></ul><ul ><li >TensorFlow Lite file then converted to C file</li></ul><ul ><li >Compiled using Arduino IDE with speech command example files</li></ul><ul ><li >Then uploaded in the board.</li></ul><h3 >Acknowledgments</h3><p ><span >This project was presented for the course AIE605 - Special Topics in Artificial Intelligence taught by </span><a href="https://www.dr-e-mattar-uob.com/">Dr. Ebrahim A. Mattar.</a></p>

Embedded Machine Learning - Wake word detection

Key word spotting is a voice command interaction that continuously monitor the environment, when "wake up" triggers a particular function.