scholarly journals A comparison of glossometric measurements of tongue position with magnetic resonance images of the vocal tract

1990 ◽  
Vol 87 (S1) ◽  
pp. S122-S123 ◽  
Author(s):  
Martin J. McCutcheon ◽  
Sungbok Lee ◽  
A. V. Lakshminarayanan ◽  
Samuel G. Fletcher
Keyword(s):  
Magnetic Resonance ◽  
Vocal Tract ◽  
Magnetic Resonance Images ◽  
Tongue Position

scholarly journals Semi-automatic method for analysing vocal tract morphology from real-time magnetic resonance images

2021 ◽  
Author(s):  
Michel Belyk ◽  
Christopher Carignan ◽  
Carolyn McGettigan
Keyword(s):  
Magnetic Resonance ◽  
Real Time ◽  
Vocal Tract ◽  
Structural Features ◽  
Magnetic Resonance Images ◽  
Training Data ◽  
Surrounding Tissue ◽  
User Input ◽  
Internal Structures ◽  
Automated Processing

Real-time magnetic resonance imaging is a technique that provides high contrast videographic data of the vocal tract that allow researchers to observe the internal structures that shape the sounds of speech. However, structural features need to be extracted from these vocal tract images to make them useful to researchers. We have developed a semi-automated processing pipeline that produces outlines of the vocal tract to quantify vocal tract morphology. Our approach uses simple tissue classification constrained to pixels that analysts have identified as likely to contain the vocal tract and surrounding tissue. This approach is supplemented with multiple opportunities for the analyst to intervene in order to ensure that outputs are robust to errors. Although this approach is more labour intensive than more fully automated alternatives, these costs are offset by the benefits of improving the quality of measurements. We demonstrate that this pipeline can be generalised to a range of datasets and that it remains reliable across analysts, particularly among analysts with vocal tract expertise. The pipeline’s reliance on user input presents a challenge to scalability if applied to very large. Measurements produced by this pipeline could be provide a broader scope of training data for fully automated methods in an effort to improve their generalisability.

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

scholarly journals Segmentation of tongue shapes during vowel production in magnetic resonance images based on statistical modelling

2018 ◽  
Vol 232 (3) ◽  
pp. 271-281
Author(s):  
Jessica C Delmoral ◽  
Sandra M Rua Ventura ◽  
João Manuel RS Tavares
Keyword(s):  
Magnetic Resonance ◽  
Speech Production ◽  
Vocal Tract ◽  
Statistical Modelling ◽  
Magnetic Resonance Images ◽  
Large Set ◽  
Vowel Production ◽  
New Approach ◽  
Functional Aspects ◽  
Key Aspects

Quantification of the anatomic and functional aspects of the tongue is pertinent to analyse the mechanisms involved in speech production. Speech requires dynamic and complex articulation of the vocal tract organs, and the tongue is one of the main articulators during speech production. Magnetic resonance imaging has been widely used in speech-related studies. Moreover, the segmentation of such images of speech organs is required to extract reliable statistical data. However, standard solutions to analyse a large set of articulatory images have not yet been established. Therefore, this article presents an approach to segment the tongue in two-dimensional magnetic resonance images and statistically model the segmented tongue shapes. The proposed approach assesses the articulator morphology based on an active shape model, which captures the shape variability of the tongue during speech production. To validate this new approach, a dataset of mid-sagittal magnetic resonance images acquired from four subjects was used, and key aspects of the shape of the tongue during the vocal production of relevant European Portuguese vowels were evaluated.

Three-dimensional Vocal Tract Morphology Based on Multiple Magnetic Resonance Images Is Highly Reproducible During Sustained Phonation

2017 ◽  
Vol 31 (4) ◽  
pp. 504.e11-504.e20 ◽  
Author(s):  
Alexander Mainka ◽  
Ivan Platzek ◽  
Willy Mattheus ◽  
Mario Fleischer ◽  
Ann-Sophie Müller ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Vocal Tract ◽  
Three Dimensional ◽  
Magnetic Resonance Images

The Correspondence of Vocal Tract Resonance With Volumes Obtained From Magnetic Resonance Images

1992 ◽  
Vol 35 (5) ◽  
pp. 1009-1023 ◽  
Author(s):  
Christopher A. Moore
Keyword(s):  
Magnetic Resonance ◽  
Speech Production ◽  
Quantitative Methods ◽  
Vocal Tract ◽  
Magnetic Resonance Images ◽  
Future Application ◽  
Clinical Tool ◽  
Resonance Frequencies ◽  
Wide Range ◽  
Vocal Tract Resonance

The increasing availability of magnetic resonance imaging (MRI) as a research, and even clinical, tool in speech production makes possible a wide range of quantitative methods in vocal tract measurement. In these initial stages of application, it is essential that the limits of the method be identified. The present investigation was designed to apply the techniques of digital image analysis and volumetric measurement to MRls obtained for the vocal tract during production of continuant speech sounds, and to apply these measures to a well-established and thoroughly tested model of acoustic transmission (Stevens & House, 1955). The results demonstrated that, although there were several sources of relatively large error and measurement bias, the vocal tract volumes obtained from MRIs were significantly predictive of vocal tract resonance frequencies. These results are discussed with respect to limits and potential for future application of MRI to speech production research.

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