Vocal Tract in Female Registers—A Dynamic Real-Time MRI Study

2010 ◽  
Vol 24 (2) ◽  
pp. 133-139 ◽  
Author(s):  
Matthias Echternach ◽  
Johan Sundberg ◽  
Susan Arndt ◽  
Michael Markl ◽  
Martin Schumacher ◽  
...  
Keyword(s):  
2020 ◽  
Author(s):  
Charlie E E Wiltshire ◽  
Mark Chiew ◽  
Jennifer Chesters ◽  
Mairead Healy ◽  
Kate E Watkins

Purpose: People who stutter (PWS) have more unstable speech motor systems than people who are typically fluent (PWTF). Here, we used real-time MRI of the vocal tract to assess variability and duration of movements of different articulators in PWS and PWTF during fluent speech production.Method: The vocal tracts of 28 adults with moderate to severe stuttering and 20 PWTF were scanned using MRI while repeating simple and complex pseudowords. Mid-sagittal images of the vocal tract from lips to larynx were reconstructed at 33.3 frames per second. For each participant, we measured the variability and duration of movements across multiple repetitions of the pseudowords in three selected articulators: the lips, tongue body, and velum. Results: PWS showed significantly greater speech movement variability than PWTF during fluent repetitions of pseudowords. The group difference was most evident for measurements of lip aperture, as reported previously, but here we report that movements of the tongue body and velum were also affected during the same utterances. Variability was highest in both PWS and PWTF for repetitions of the monosyllabic pseudowords and was not affected by phonological complexity. Speech movement variability was unrelated to stuttering severity with the PWS group. PWS also showed longer speech movement durations relative to PWTF for fluent repetitions of multisyllabic pseudowords and this group difference was even more evident when repeating the phonologically complex pseudowords. Conclusions: Using real-time MRI of the vocal tract, we found that PWS produced more variable movements than PWTF even during fluent productions of simple pseudowords. This indicates general, trait-level differences in the control of the articulators between PWS and PWTF.


Author(s):  
Tanner Sorensen ◽  
Asterios Toutios ◽  
Louis Goldstein ◽  
Shrikanth S. Narayanan
Keyword(s):  

2013 ◽  
Author(s):  
Yinghua Zhu ◽  
Asterios Toutios ◽  
Shrikanth Narayanan ◽  
Krishna Nayak

2021 ◽  
Author(s):  
Michel Belyk ◽  
Christopher Carignan ◽  
Carolyn McGettigan

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.


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