A Multimodal Real-Time MRI Articulatory Corpus of French for Speech Research

Ioannis K. Douros, Jacques Felblinger, Jens Frahm, Karyna Isaieva, Arun A. Joseph, Yves Laprie, Freddy Odille, Anastasiia Tsukanova, Dirk Voit, Pierre-André Vuissoz


In this work we describe the creation of ArtSpeechMRIfr: a real-time as well as static magnetic resonance imaging (rtMRI, 3D MRI) database of the vocal tract. The database contains also processed data: denoised audio, its phonetically aligned annotation, articulatory contours, and vocal tract volume information, which provides a rich resource for speech research. The database is built on data from two male speakers of French.

It covers a number of phonetic contexts in the controlled part, as well as spontaneous speech, 3D MRI scans of sustained vocalic articulations, and of the dental casts of the subjects. The corpus for rtMRI consists of 79 synthetic sentences constructed from a phonetized dictionary that makes possible to shorten the duration of acquisitions while keeping a very good coverage of the phonetic contexts which exist in French. The 3D MRI includes acquisitions for 12 French vowels and 10 consonants, each of which was pronounced in several vocalic contexts. Articulatory contours (tongue, jaw, epiglottis, larynx, velum, lips) as well as 3D volumes were manually drawn for a part of the images.


 DOI: 10.21437/Interspeech.2019-1700

Cite as: Douros, I.K., Felblinger, J., Frahm, J., Isaieva, K., Joseph, A.A., Laprie, Y., Odille, F., Tsukanova, A., Voit, D., Vuissoz, P. (2019) A Multimodal Real-Time MRI Articulatory Corpus of French for Speech Research. Proc. Interspeech 2019, 1556-1560, DOI: 10.21437/Interspeech.2019-1700.


@inproceedings{Douros2019,
  author={Ioannis K. Douros and Jacques Felblinger and Jens Frahm and Karyna Isaieva and Arun A. Joseph and Yves Laprie and Freddy Odille and Anastasiia Tsukanova and Dirk Voit and Pierre-André Vuissoz},
  title={{A Multimodal Real-Time MRI Articulatory Corpus of French for Speech Research}},
  year=2019,
  booktitle={Proc. Interspeech 2019},
  pages={1556--1560},
  doi={10.21437/Interspeech.2019-1700},
  url={http://dx.doi.org/10.21437/Interspeech.2019-1700}
}