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2023 INTERSPEECH INTERSPEECH 2023

Sp1NY: A Quick and Flexible Speech Visualisation Tool in Python

Abstract

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.

🧭 Keyword Pioneer — plugin mechanism
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Speech & Audio

Authors

Sébastien Le Maguer , Mark Anderson , Naomi Harte

Topics

Machine Learning > Application Areas > Efficient Computing

Keywords

python toolkit annotation tool speech visualization plugin mechanism
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