Speech Recognition Model embedded in a Raspeberry Pi
This project is heavily inspired by Shawn Hymel youtube series "Intro to TensorFlow Lite"
This project consists in 3 phases:
- Creating the model features
- Here the user should input the training datasets to make the speech recognition and select which word it wants to be the "wake-up" word
- Training the model and convert to tflite extension
- In this phase the features created before need to be made into a TensorFlow model and trained
- Uploading the model into a RPI and run the script
- Cloning this repo into the rasp should accelerate a lot the process