Three-dimensional vocal tract modeling of fricatives /s/ and /sh/ for post-glossectomy speakers

2013 ◽  
Vol 133 (5) ◽  
pp. 3606-3606
Author(s):  
Xinhui Zhou ◽  
Jonghye Woo ◽  
Maureen Stone ◽  
Carol Espy-Wilson
Keyword(s):  
Vocal Tract ◽  
Three Dimensional

Extraction of vocal tract area function from three‐dimensional magnetic resonance images using digital waveguide mesh

2008 ◽  
Vol 123 (5) ◽  
pp. 3736-3736
Author(s):  
Kenji Inoue ◽  
Hironori Takemoto ◽  
Tatsuya Kitamura ◽  
Shinobu Masaki ◽  
Hirotake Nakashima
Keyword(s):  
Magnetic Resonance ◽  
Vocal Tract ◽  
Three Dimensional ◽  
Magnetic Resonance Images ◽  
Area Function ◽  
Digital Waveguide Mesh ◽  
Digital Waveguide

An interactive construction system of three‐dimensional vocal tract shapes from tomogram

1998 ◽  
Vol 103 (5) ◽  
pp. 2893-2893
Author(s):  
Tohru Yokoyama ◽  
Nobuhiro Miki ◽  
Yoshihiko Ogawa
Keyword(s):  
Vocal Tract ◽  
Three Dimensional ◽  
Construction System

scholarly journals A Fast Semiautomatic Algorithm for Centerline-Based Vocal Tract Segmentation

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Anton A. Poznyakovskiy ◽  
Alexander Mainka ◽  
Ivan Platzek ◽  
Dirk Mürbe
Keyword(s):  
Major Part ◽  
Vocal Tract ◽  
Active Contours ◽  
Three Dimensional ◽  
Voice Therapy ◽  
Segmentation Method ◽  
Voice Production ◽  
Medical Issues ◽  
Dimensional Measurements ◽  
Spatial Geometry

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 segmentation method 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.

Three-dimensional vocal tract imaging and formant structure: Varying vocal register, pitch, and loudness

2001 ◽  
Vol 109 (2) ◽  
pp. 742-747 ◽  
Author(s):  
Kenneth Tom ◽  
Ingo R. Titze ◽  
Eric A. Hoffman ◽  
Brad H. Story
Keyword(s):  
Vocal Tract ◽  
Three Dimensional ◽  
Vocal Register

Human Vocal Tract Modeling and Geometric Parameterization

2004 ◽  
Author(s):  
Hussain Z. Tameem ◽  
Bhavin V. Mehta
Keyword(s):  
Vocal Tract ◽  
Three Dimensional ◽  
Parametric Modeling ◽  
Three Dimensional Model ◽  
Non Invasive ◽  
Solid Models ◽  
Mri Scans ◽  
Invasive Method ◽  
Geometrical Information ◽  
Magnetic Resonance Imaging Mri

This investigation uses a multi disciplinary approach to standardize a non-invasive method for measuring human vocal tract morphology. A series of Magnetic Resonance Imaging (MRI) scans are performed on the subject’s vocal tract and a detailed three-dimensional model is created through image processing and computer modeling. This information is compared with the vocal tract measurements obtained with Eccovision Acoustic Pharyngometer, in order to establish the accuracy of the instrument. The model is then used to develop other specific models through parametric modeling. This method is useful in creating solid models with limited geometrical information and helps researchers study the human vocal tract changes due to aging and degenerative diseases.

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