MidiTok Visualizer: a tool for visualization and analysis of tokenized MIDI symbolic music

Michał Wiszenko (Warsaw University of Technology), Kacper Stefański (Warsaw University of Technology), Piotr Malesa (Warsaw University of Technology), Łukasz Pokorzyński (Warsaw University of Technology), Mateusz Modrzejewski (Warsaw University of Technology)*

lbd-455-miditok-visualizer-a

This paper will be presented virtually at the 12:15 PM - 12:45 PM PST session

Abstract:

Symbolic music research plays a crucial role in music-related machine learning, but MIDI data can be complex for those without musical expertise. To address this issue, we present MidiTok Visualizer, a web application designed to facilitate the exploration and visualization of various MIDI tokenization methods from the \texttt{MidiTok} Python package. MidiTok Visualizer offers numerous customizable parameters, enabling users to upload MIDI files to visualize tokenized data alongside an interactive piano roll.