A Fast Semiautomatic Algorithm for Centerline-Based Vocal Tract Segmentation.
Vocal tract morphology is an important factor in voice production. Its analysis has potential implications for educational matters as well as medical issues like voice therapy.The knowledge of the complex adjustments in the spatial geometry of the vocal tract during phonation is still limited. For a...
| Published in: | BioMed Research International Vol. 2015; pp. 1 - 8 |
|---|---|
| Main Authors: | , , , |
| Format: | diagnostic images equations & formulas research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
10/18/2015
|
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=128637994&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 128637994 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 10/18/2015 vid: 2015 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 128637994 128637994 128637994 10.1155/2015/906356 128637994 ppf: 1 ppct: 7 formats: fmt: @attributes: type: P tig: atl: A Fast Semiautomatic Algorithm for Centerline-Based Vocal Tract Segmentation. aug: au: Poznyakovskiy, Anton A. Mainka, Alexander Platzek, Ivan Mürbe, Dirk affil: Department of Otorhinolaryngology, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01062 Dresden, Germany sug: subj: Algorithms Vocal Cords Magnetic Resonance Imaging Phonation Vowels Automation Imaging, Three-Dimensional Human Models, Structural Speech Singing ab: Vocal tract morphology is an important factor in voice production. Its analysis has potential implications for educational matters as well as medical issues like voice therapy.The knowledge of the complex adjustments in the spatial geometry of the vocal tract during phonation is still limited. For a major part, this is due to difficulties in acquiring geometry data of the vocal tract in the process of voice production. In this study, a centerline-based segmentationmethod using active contours was introduced to extract the geometry data of the vocal tract obtained with MRI during sustained vowel phonation. The applied semiautomatic algorithm was found to be time- and interaction-efficient and allowed performing various three-dimensional measurements on the resulting model. The method is suitable for an improved detailed analysis of the vocal tract morphology during speech or singing which might give some insights into the underlying mechanical processes. pubtype: Academic Journal doctype: diagnostic images equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|