In this paper, we present ema2wav, a software conversion tool for electromagnetic articulographic data, producing multi-channel WAVE files. The data can be converted either by executing a stand-alone Python script or by using a user-friendly GUI. ema2wav allows the display and extraction of EMA trajectories as well as data smoothing and the computation of derivatives and Euclidean distance between sensors. A great asset of this converter is that it allows the research community to process EMA data in widespread and easy-to-use open-source programs like Praat. It is completely platform-independent and is thus a very promising alternative for e.g., students, teachers and researchers in experimental linguistics who have either limited access to software licenses and/or seek for an easy way to maintain open solutions for their research.
Cite as: Buech, P., Roessig, S., Pagel, L., Muecke, D., Hermes, A. (2022) ema2wav: doing articulation by Praat. Proc. Interspeech 2022, 1352-1356, doi: 10.21437/Interspeech.2022-10813
@inproceedings{buech22_interspeech,
author={Philipp Buech and Simon Roessig and Lena Pagel and Doris Muecke and Anne Hermes},
title={{ema2wav: doing articulation by Praat}},
year=2022,
booktitle={Proc. Interspeech 2022},
pages={1352--1356},
doi={10.21437/Interspeech.2022-10813}
}