How to do Real Time Trigger Word Detection with Keras.

Trigger word detection, aka. wake/hot word detection. Like Amazon's "Alexa" or Google Home's "OK, Google" to wake them up. Will it be cool to build one yourself and run it in Real-time?

In this post, I am going to show you exactly how to build a Keras model to do the same thing from scratch. No third party voice API or network connection required to make it functional.

Background information is shown in my blog post.

How to Run

Require Python 3.5+ and Jupyter notebook installed

Clone or download this repo

git clone https://github.com/Tony607/Keras-Trigger-Word

Install required libraries

pip3 install -r requirements.txt

Real-time demo

In the project directory start a command line, then run command

jupyter notebook

If you are only interested in playing with the pre-trained trigger word model with real-time demo. In the opened browser window choose

trigger_word_real_time_demo.ipynb

Optionally if you want to learn about data preparation and model training. Continue on with my write up. In the opened browser window choose this notebook.

Trigger word detection - v1.ipynb

Download the train/dev Data from the releases if you want to follow along the notebook, Data.zip. Extract XY_dev and XY_train folders to the root of the project directory.

Happy coding! Leave a comment if you have any question.