Voice onset time (VOT) is an acoustic measurement often used in linguistic research. However, obtaining such measurements is a task done by hand, slowing the research process for many linguists. As such, taking advantage of pre-existing resources, with the help of the Tech Center’s staff, I created a Python library that helps automate the VOT measurement collection process. To access this tool, go to https://github.com/llcit/vot-cp.
This took takes as input a sound file with natural speech and a time-aligned textgrid file segmented at the word and phone level, and it returns a new textgrid file with an additional tier that marks VOT of voiceless stops. This library makes use of AutoVOT’s capabilities as well as PraatIO and Parselmouth.
This project was the result of a summer internship with the Language Flagship Technology Innovation Center (Tech Center). I constructed this library in collaboration with Dr. Richard Medina.
How this project facilitates the collection of VOT data, there are some limitations with this program. For example, as it stands:
For more details, review the documentation for the project.