That was just a rather lightweight introduction. We deliberately kept things really simple and used the most basic type of neural network. The type of models covered in this module are already dated, but that’s OK! You need to understand the fundamentals before attempting to understand more advanced methods.
For a more practically-oriented description of the frame-by-frame approach, there is an Interspeech tutorial from 2017. This would be helpful if you want to do some practical work (beyond the scope of this course) with this approach, possibly as a precursor to moving on to state-of-the-art models.