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Communication Dans Un Congrès Année : 2022

ema2wav: doing articulation by Praat

Simon Roessig
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Lena Pagel
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Doris Muecke
  • Fonction : Auteur


In this paper, we present ema2wav, a software conversion tool for electromagnetic articulographic data, producing multichannel 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 distances 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.


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Dates et versions

hal-03779879 , version 1 (27-09-2022)



Philipp Buech, Simon Roessig, Lena Pagel, Doris Muecke, Anne Hermes. ema2wav: doing articulation by Praat. Interspeech, Sep 2022, Incheon, South Korea. pp.1352-1356, ⟨10.21437/interspeech.2022-10813⟩. ⟨hal-03779879⟩
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