Morphology and development of the human vocal tract: A study using magnetic resonance imaging

1999 ◽  
Vol 106 (3) ◽  
pp. 1511-1522 ◽  
Author(s):  
W. Tecumseh Fitch ◽  
Jay Giedd
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Vocal Tract ◽  
Resonance Imaging

Characterizing Vocal Tract Dimensions in the Vocal Modes Using Magnetic Resonance Imaging

2020 ◽  
Author(s):  
Mari Leppävuori ◽  
Eveliina Lammentausta ◽  
Arttu Peuna ◽  
Michaela K. Bode ◽  
Jari Jokelainen ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Vocal Tract ◽  
Resonance Imaging

scholarly journals Characterizing Articulation in Apraxic Speech Using Real-Time Magnetic Resonance Imaging

2017 ◽  
Vol 60 (4) ◽  
pp. 877-891 ◽  
Author(s):  
Christina Hagedorn ◽  
Michael Proctor ◽  
Louis Goldstein ◽  
Stephen M. Wilson ◽  
Bruce Miller ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Real Time ◽  
Analytical Methods ◽  
Vocal Tract ◽  
Speech Errors ◽  
Apraxia Of Speech ◽  
Resonance Imaging ◽  
Monosyllabic Words ◽  
Intrusion Errors

Purpose Real-time magnetic resonance imaging (MRI) and accompanying analytical methods are shown to capture and quantify salient aspects of apraxic speech, substantiating and expanding upon evidence provided by clinical observation and acoustic and kinematic data. Analysis of apraxic speech errors within a dynamic systems framework is provided and the nature of pathomechanisms of apraxic speech discussed. Method One adult male speaker with apraxia of speech was imaged using real-time MRI while producing spontaneous speech, repeated naming tasks, and self-paced repetition of word pairs designed to elicit speech errors. Articulatory data were analyzed, and speech errors were detected using time series reflecting articulatory activity in regions of interest. Results Real-time MRI captured two types of apraxic gestural intrusion errors in a word pair repetition task. Gestural intrusion errors in nonrepetitive speech, multiple silent initiation gestures at the onset of speech, and covert (unphonated) articulation of entire monosyllabic words were also captured. Conclusion Real-time MRI and accompanying analytical methods capture and quantify many features of apraxic speech that have been previously observed using other modalities while offering high spatial resolution. This patient's apraxia of speech affected the ability to select only the appropriate vocal tract gestures for a target utterance, suppressing others, and to coordinate them in time.

scholarly journals Comparison of native and non-native consonant articulation with real-time magnetic resonance imaging of the vocal tract

2013 ◽  
Vol 133 (5) ◽  
pp. 3603-3603
Author(s):  
Sam Tilsen ◽  
Bo Xu ◽  
Pascal Spincemaille ◽  
Madhur Srivastava ◽  
Peter Doershuck ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Real Time ◽  
Vocal Tract ◽  
Resonance Imaging

scholarly journals Measurement of Three-dimensional Shapes of Vocal Tract using Magnetic Resonance Imaging: Fricative Consonants

1998 ◽  
Vol 118 (7-8) ◽  
pp. 1060-1065
Author(s):  
Takuya Niikawa ◽  
Masafumi Matsumura ◽  
Koji Shimizu ◽  
Yasuji Hashimoto ◽  
Takashi Tachimura ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Vocal Tract ◽  
Three Dimensional ◽  
Resonance Imaging

scholarly journals Advances in real-time magnetic resonance imaging of the vocal tract for speech science and technology research

2016 ◽  
Vol 5 ◽  
Author(s):  
Asterios Toutios ◽  
Shrikanth S. Narayanan
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Real Time ◽  
Speech Production ◽  
Vocal Tract ◽  
Technology Development ◽  
Upper Airway ◽  
Resonance Imaging ◽  
Midsagittal Plane ◽  
Speech Science

Real-time magnetic resonance imaging (rtMRI) of the moving vocal tract during running speech production is an important emerging tool for speech production research providing dynamic information of a speaker's upper airway from the entire midsagittal plane or any other scan plane of interest. There have been several advances in the development of speech rtMRI and corresponding analysis tools, and their application to domains such as phonetics and phonological theory, articulatory modeling, and speaker characterization. An important recent development has been the open release of a database that includes speech rtMRI data from five male and five female speakers of American English each producing 460 phonetically balanced sentences. The purpose of the present paper is to give an overview and outlook of the advances in rtMRI as a tool for speech research and technology development.

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