Music is a primary expression of our humanity. But like anything in the natural and man-made world, it’s made up from patterns that obey a set of laws. In this tutorial we will see how to set up a Deep Learning network in Python. Using a case study of recognising a composer’s ‘musical signature’ from a few bars of music, you will learn some tips and tricks for designing your own effective machine learning data sets. Let’s get started!
Let’s improve on the emotion recognition from a previous article about FisherFace Classifiers. We will be using facial landmarks and a machine learning algorithm, and see how well we can predict emotions in different individuals, rather than on a single individual like in another article about the emotion recognising music player.
A sequel to a previous post about emotion recognition. Let’s apply the emotion recognition model and build a music player that will play songs fitting to your mood, for that extra death metal when you’re pissed, and some Grieg when you’re happy.