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.