Our study examines the information obtained by adding two parasagittal sensors to the standard midsagittal configuration of an Electromagnetic Articulography (EMA) observation of lingual articulation. In this work, we present a large and phonetically balanced corpus obtained from an EMA recording session of a single English native speaker reading 1899 sentences from the Harvard and TIMIT corpora. According to a statistical analysis of the diphones produced during the recording session, the motion captured by the parasagittal sensors has a low correlation to the midsagittal sensors in the mediolateral direction. We perform a geometric analysis of the lateral tongue by the measure of its width and using a proxy of the tongue’s curvature that is computed using the Menger curvature. To provide a better understanding of the tongue sensor motion we present dynamic visualizations of all diphones. Finally, we present a summary of the velocity information computed from the tongue sensor information.
Cite as: Medina, S., Taylor, S., Tiede, M., Hauptmann, A., Matthews, I. (2021) Importance of Parasagittal Sensor Information in Tongue Motion Capture Through a Diphonic Analysis. Proc. Interspeech 2021, 3340-3344, doi: 10.21437/Interspeech.2021-1732
@inproceedings{medina21_interspeech,
author={Salvador Medina and Sarah Taylor and Mark Tiede and Alexander Hauptmann and Iain Matthews},
title={{Importance of Parasagittal Sensor Information in Tongue Motion Capture Through a Diphonic Analysis}},
year=2021,
booktitle={Proc. Interspeech 2021},
pages={3340--3344},
doi={10.21437/Interspeech.2021-1732}
}