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Data-Driven Critical Tract Variable Determination for European Portuguese by Silva, Samuel; Almeida, Nuno; Cunha, Conceição; Joseph, Arun; Frahm, Jens; Teixeira, António is a Computer Science article available to read on EtoBox.

What is Data-Driven Critical Tract Variable Determination for European Portuguese about?

Technologies, such as real-time magnetic resonance (RT-MRI), can provide valuable information to evolve our understanding of the static and dynamic aspects of speech by contributing to the determination of which articulators are essential (critical) in producing specific sounds and how (gestures). While a visual analysis and comparison of imaging data or vocal tract profiles can already provide relevant findings, the sheer amount of available data demands and can strongly profit from unsupervised data-driven approaches. Recent work, in this regard, has asserted the possibility of determining critical articulators from RT-MRI data by considering a representation of vocal tract configurations based on landmarks placed on the tongue, lips, and velum, yielding meaningful results for European Portuguese (EP). Advancing this previous work to obtain a characterization of EP sounds grounded on Articulatory Phonology, important to explore critical gestures and advance, for example, articulatory speech synthesis, entails the consideration of a novel set of tract variables. To this end, this article explores critical variable determination considering a vocal tract representation aligned with

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Author

Silva, Samuel; Almeida, Nuno; Cunha, Conceição; Joseph, Arun; Frahm, Jens; Teixeira, António

Publisher

MDPI AG; Multidisciplinary Digital Publishing Institute (MDPI); Basel: MDPI, 2010- (ISSN 2078-2489)

Published

2020

Language

EN

Field

Computer Science (Physical Sciences)