文章基本信息

标题：Data-Driven Critical Tract Variable Determination for European Portuguese
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作者：Samuel Silva ; Nuno Almeida ; Conceição Cunha 等
期刊名称：Information
电子版ISSN：2078-2489
出版年度：2020
卷号：11
期号：10
页码：491-510
DOI：10.3390/info11100491
出版社：MDPI Publishing
摘要：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 Articulatory Phonology and the Task Dynamics framework. The overall results, obtained considering data for three EP speakers, show the applicability of this approach and are consistent with existing descriptions of EP sounds.
关键词：critical articulator; critical tract variable; speech production model; data-driven approach; real-time magnetic resonance critical articulator ; critical tract variable ; speech production model ; data-driven approach ; real-time magnetic resonance