This is a SIGNALS tutorial in which you will work with speech signals.
These labs follow on directly from those in Module 3 (Digital Speech Signals). You can find info on how to download and get started with Jupyter Notebooks in the Module 3 lab tab.
You can find a github repository for the signals notebooks here: https://github.com/laic/uoe_speech_processing_course. You can find the notebooks for this module in that repository under signals/signals-lab-2.
Some of the notebooks you’ll find there are essential and some are extension material. Your task for this week is to go through the notebook marked essential, relating to the Source Filter model:
The other notebooks in that directory give some mathematical extensions on the essential materials. You can find a list of more notebooks in the overview notebook here: signals-0-start.ipynb.