Improved vocal tract reconstruction and modeling using an image super-resolution technique

Xinhui Zhou, Jonghye Woo, Maureen Stone, Jerry L. Prince, Carol Y. Espy-Wilson

Research output: Contribution to journalArticlepeer-review

Abstract

Magnetic resonance imaging has been widely used in speech production research. Often only one image stack (sagittal, axial, or coronal) is used for vocal tract modeling. As a result, complementary information from other available stacks is not utilized. To overcome this, a recently developed super-resolution technique was applied to integrate three orthogonal low-resolution stacks into one isotropic volume. The results on vowels show that the super-resolution volume produces better vocal tract visualization than any of the low-resolution stacks. Its derived area functions generally produce formant predictions closer to the ground truth, particularly for those formants sensitive to area perturbations at constrictions.

Original languageEnglish (US)
Pages (from-to)EL439-EL445
JournalJournal of the Acoustical Society of America
Volume133
Issue number6
DOIs
StatePublished - Jun 2013

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Acoustics and Ultrasonics

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