Validating rt-MRI based articulatory representations via articulatory recognition

Abstract

The large corpus of real time magnetic resonance image sequences of the vocal tract during speech production that was recently acquired and can be referred to as MRI-TIMIT, provides us with a unique platform for systematically studying articulatory dynamics. Compared to previously collected articulatory datasets, e.g., using articulography or X-rays, MRI-TIMIT is a rich source of information for the entire vocal tract and not only for certain articulatory landmarks and further has the potential to continue increasing in size covering a large variety of speakers and speaking styles. In this work, we investigate an articulatory representation based on full vocal tract shapes. We employ an articulatory recognition framework in MRI-TIMIT to analyze its merits and drawbacks. We argue that articulatory recognition can serve as a general validation tool for real-time MRI based articulatory representations. Index Terms: vocal tract shape, articulation, real-time MRI, articulatory recognition