Generating MIDI music with LSTMs using PyTorch
Moving on from text, in this section, we will use PyTorch to create a machine learning model that can compose classical-like music. We used transformers for generating text in the previous section. Here, we will use an LSTM model to process sequential music data. We will train the model on Mozart's classical music compositions.
Each musical piece will essentially be broken down into a sequence of piano notes. We will be reading music data in the form of Musical Instruments Digital Interface (MIDI) files, which is a well-known and commonly used format for conveniently reading and writing musical data across devices and environments.
After converting the MIDI files into sequences of piano notes (which we call the piano roll), we will use them to train a next-piano-note detection system. In this system, we will build an LSTM-based classifier that will predict the next piano note for the given preceding sequence of piano notes,...
