Voice Onset Time Enhanced User System (VOTEUS): A web graphic interface for the analysis of plosives’ release phases

Duccio Piccardi; Federico Becattini

doi:10.17469/O2104AISV000016

Authors

Duccio Piccardi Dipartimento di Filologia, letteratura e linguistica. Sezione di linguistica – Università di Pisa. Palazzo Venera, Via S. Maria 36 – Pisa https://orcid.org/0000-0002-4985-4360
Federico Becattini Media Integration and Communication Center (MICC) – Università degli Studi di Firenze. Viale Morgagni 65 – Firenze

DOI:

https://doi.org/10.17469/O2104AISV000016

Keywords:

AutoVOT, Graphic User Interface, VOTEUS, annotation, forced alignment

Abstract

The paper proposes an up-to-date literature review of the works using AutoVOT, a discriminative large-margin learning algorithm developed for the semi-automatic measurement of voice onset times. In order to expand the accessibility of the tool in linguistic research, we present VOTEUS, a user-friendly graphic interface written in Python. The interface is conceived to assist the researcher throughout the whole process of annotation, from the forced alignment of the corpora to the refinement of the AutoVOT tier and the extraction of the durations. The general aim is to speed up this phase of data analysis, providing a significant improvement on prevalent practice to date.