Agnishom ChattopadhyaySangwon SeoJ. Lyle KimZiyang(Zion) Yang
Published © GPL3+

Wake Word Detection

Ever wonder how your phone wakes up when you say "Hey Siri"?

BeginnerFull instructions provided3 hours749

Things used in this project

Hardware components

Arduino Nano 33 BLE Sense
Arduino Nano 33 BLE Sense
Where the magic happens.
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Software apps and online services

Arduino IDE
Arduino IDE
The tool we used to download the Arduino driver and Tensorflow Lite and deploy the code to Arduino.
Google TensorFlow Lite
The machine learning framework with which our model trained.
GNU Make
Used to build our codes.

Hand tools and fabrication machines

Sponge, Soldering Stand
Sponge, Soldering Stand
Love your device, keep it clean!

Story

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Schematics

Overview

A bird-eye's view of what's happening...

Code

Wake Word Detection

Our fork of the micro_speech example in Tensorflow Library (Upstream: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/micro/examples/micro_speech ) The simplest way to deploy this would be to use the Arduino IDE. Simply click on `Tools -> Manage Libraries...` and search for `Arduino_TensorFlowLite`. Once that installs, go to `File -> Examples` and search for `TensorFlowLite:micro_speech`.

Credits

Agnishom Chattopadhyay

Agnishom Chattopadhyay

1 project • 0 followers
Sangwon Seo

Sangwon Seo

1 project • 0 followers
J. Lyle Kim

J. Lyle Kim

1 project • 0 followers
Ziyang(Zion) Yang

Ziyang(Zion) Yang

1 project • 0 followers

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