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

Abstract : 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. Ar-ticulatory contours (tongue, jaw, epiglottis, larynx, velum, lips) as well as 3D volumes were manually drawn for a part of the images.
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Contributor : Yves Laprie Connect in order to contact the contributor
Submitted on : Friday, June 28, 2019 - 10:21:29 AM
Last modification on : Saturday, October 16, 2021 - 11:26:10 AM


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  • HAL Id : hal-02167756, version 1


Ioannis Douros, Jacques Felblinger, Jens Frahm, Karyna Isaieva, Arun Joseph, et al.. A Multimodal Real-Time MRI Articulatory Corpus of French for Speech Research. INTERSPEECH 2019 - 20th Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria. ⟨hal-02167756⟩



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