ISCA Archive - Sp1NY: A Quick and Flexible Speech Visualisation Tool in Python
ISCA Archive Interspeech 2023
ISCA Archive Interspeech 2023

Sp1NY: A Quick and Flexible Speech Visualisation Tool in Python

Sébastien Le Maguer, Mark Anderson, Naomi Harte

In this submission, we describe Sp1NY, a Python toolkit to visualise and annotate speech. Inspired by Praat and music notation software, we designed Sp1NY to be accessible and flexible. By introducing a control panel, Sp1NY provides a quick way for the user to interact with it. By focusing Sp1NY only on visualisation and annotation and, by reducing the core of the software to a minimum, we ensure that the software will remain stable. Finally, Sp1NY integrates a plugin mechanism which allows researchers to adapt the tool to their needs.