date: 2020-10-23T03:34:41Z pdf:unmappedUnicodeCharsPerPage: 17 pdf:PDFVersion: 1.7 pdf:docinfo:title: Data-Driven Critical Tract Variable Determination for European Portuguese xmp:CreatorTool: LaTeX with hyperref package Keywords: critical articulator; critical tract variable; speech production model; data-driven approach; real-time magnetic resonance access_permission:modify_annotations: true access_permission:can_print_degraded: true subject: 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. dc:creator: Samuel Silva, Nuno Almeida, Conceição Cunha, Arun Joseph, Jens Frahm and António Teixeira dcterms:created: 2020-10-23T03:24:01Z Last-Modified: 2020-10-23T03:34:41Z dcterms:modified: 2020-10-23T03:34:41Z dc:format: application/pdf; version=1.7 title: Data-Driven Critical Tract Variable Determination for European Portuguese Last-Save-Date: 2020-10-23T03:34:41Z pdf:docinfo:creator_tool: LaTeX with hyperref package access_permission:fill_in_form: true pdf:docinfo:keywords: critical articulator; critical tract variable; speech production model; data-driven approach; real-time magnetic resonance pdf:docinfo:modified: 2020-10-23T03:34:41Z meta:save-date: 2020-10-23T03:34:41Z pdf:encrypted: false dc:title: Data-Driven Critical Tract Variable Determination for European Portuguese modified: 2020-10-23T03:34:41Z cp:subject: 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. pdf:docinfo:subject: 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. Content-Type: application/pdf pdf:docinfo:creator: Samuel Silva, Nuno Almeida, Conceição Cunha, Arun Joseph, Jens Frahm and António Teixeira X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Samuel Silva, Nuno Almeida, Conceição Cunha, Arun Joseph, Jens Frahm and António Teixeira meta:author: Samuel Silva, Nuno Almeida, Conceição Cunha, Arun Joseph, Jens Frahm and António Teixeira dc:subject: critical articulator; critical tract variable; speech production model; data-driven approach; real-time magnetic resonance meta:creation-date: 2020-10-23T03:24:01Z created: 2020-10-23T03:24:01Z access_permission:extract_for_accessibility: true access_permission:assemble_document: true xmpTPg:NPages: 20 Creation-Date: 2020-10-23T03:24:01Z pdf:charsPerPage: 2994 access_permission:extract_content: true access_permission:can_print: true meta:keyword: critical articulator; critical tract variable; speech production model; data-driven approach; real-time magnetic resonance Author: Samuel Silva, Nuno Almeida, Conceição Cunha, Arun Joseph, Jens Frahm and António Teixeira producer: pdfTeX-1.40.18 access_permission:can_modify: true pdf:docinfo:producer: pdfTeX-1.40.18 pdf:docinfo:created: 2020-10-23T03:24:01Z