Literature DB >> 23862826

An investigation of articulatory setting using real-time magnetic resonance imaging.

Vikram Ramanarayanan1, Louis Goldstein, Dani Byrd, Shrikanth S Narayanan.   

Abstract

This paper presents an automatic procedure to analyze articulatory setting in speech production using real-time magnetic resonance imaging of the moving human vocal tract. The procedure extracts frames corresponding to inter-speech pauses, speech-ready intervals and absolute rest intervals from magnetic resonance imaging sequences of read and spontaneous speech elicited from five healthy speakers of American English and uses automatically extracted image features to quantify vocal tract posture during these intervals. Statistical analyses show significant differences between vocal tract postures adopted during inter-speech pauses and those at absolute rest before speech; the latter also exhibits a greater variability in the adopted postures. In addition, the articulatory settings adopted during inter-speech pauses in read and spontaneous speech are distinct. The results suggest that adopted vocal tract postures differ on average during rest positions, ready positions and inter-speech pauses, and might, in that order, involve an increasing degree of active control by the cognitive speech planning mechanism.

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Mesh:

Year:  2013        PMID: 23862826      PMCID: PMC3724797          DOI: 10.1121/1.4807639

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  13 in total

1.  The relationship of vocal tract shape to three voice qualities.

Authors:  B H Story; I R Titze; E A Hoffman
Journal:  J Acoust Soc Am       Date:  2001-04       Impact factor: 1.840

Review 2.  Posture-based motion planning: applications to grasping.

Authors:  D A Rosenbaum; R J Meulenbroek; J Vaughan; C Jansen
Journal:  Psychol Rev       Date:  2001-10       Impact factor: 8.934

3.  Posterior pharyngeal wall position in the production of speech.

Authors:  Harriet S Magen; A Min Kang; Mark K Tiede; D H Whalen
Journal:  J Speech Lang Hear Res       Date:  2003-02       Impact factor: 2.297

4.  An approach to real-time magnetic resonance imaging for speech production.

Authors:  Shrikanth Narayanan; Krishna Nayak; Sungbok Lee; Abhinav Sethy; Dani Byrd
Journal:  J Acoust Soc Am       Date:  2004-04       Impact factor: 1.840

5.  Analysis of pausing behavior in spontaneous speech using real-time magnetic resonance imaging of articulation.

Authors:  Vikram Ramanarayanan; Erik Bresch; Dani Byrd; Louis Goldstein; Shrikanth S Narayanan
Journal:  J Acoust Soc Am       Date:  2009-11       Impact factor: 1.840

6.  Effects of noise on speech production: acoustic and perceptual analyses.

Authors:  W V Summers; D B Pisoni; R H Bernacki; R I Pedlow; M A Stokes
Journal:  J Acoust Soc Am       Date:  1988-09       Impact factor: 1.840

7.  Articulatory model for the study of speech production.

Authors:  P Mermelstein
Journal:  J Acoust Soc Am       Date:  1973-04       Impact factor: 1.840

8.  Conventional, biological and environmental factors in speech communication: a modulation theory.

Authors:  H Traunmüller
Journal:  Phonetica       Date:  1994       Impact factor: 1.759

9.  Region segmentation in the frequency domain applied to upper airway real-time magnetic resonance images.

Authors:  Erik Bresch; Shrikanth Narayanan
Journal:  IEEE Trans Med Imaging       Date:  2009-03       Impact factor: 10.048

Review 10.  Computational approaches to motor control.

Authors:  T Flash; T J Sejnowski
Journal:  Curr Opin Neurobiol       Date:  2001-12       Impact factor: 6.627

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  14 in total

Review 1.  Gestural coordination at prosodic boundaries and its role for prosodic structure and speech planning processes.

Authors:  Jelena Krivokapić
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-12-19       Impact factor: 6.237

2.  Evaluating velopharyngeal closure with real-time MRI.

Authors:  Marc E Miquel; Andreia C Freitas; Marzena Wylezinska
Journal:  Pediatr Radiol       Date:  2014-11-16

3.  Test-retest repeatability of human speech biomarkers from static and real-time dynamic magnetic resonance imaging.

Authors:  Johannes Töger; Tanner Sorensen; Krishna Somandepalli; Asterios Toutios; Sajan Goud Lingala; Shrikanth Narayanan; Krishna Nayak
Journal:  J Acoust Soc Am       Date:  2017-05       Impact factor: 1.840

4.  The role of prominence in determining the scope of boundary-related lengthening in Greek.

Authors:  Argyro Katsika
Journal:  J Phon       Date:  2016-02-16

5.  A speech planning network for interactive language use.

Authors:  Gregg A Castellucci; Christopher K Kovach; Matthew A Howard; Jeremy D W Greenlee; Michael A Long
Journal:  Nature       Date:  2022-01-05       Impact factor: 69.504

6.  Speech Movement Variability in People Who Stutter: A Vocal Tract Magnetic Resonance Imaging Study.

Authors:  Charlotte E E Wiltshire; Mark Chiew; Jennifer Chesters; Máiréad P Healy; Kate E Watkins
Journal:  J Speech Lang Hear Res       Date:  2021-06-22       Impact factor: 2.297

7.  Pause Postures: The relationship between articulation and cognitive processes during pauses.

Authors:  Jelena Krivokapić; Will Styler; Benjamin Parrell
Journal:  J Phon       Date:  2020-02-21

8.  Are articulatory settings mechanically advantageous for speech motor control?

Authors:  Vikram Ramanarayanan; Adam Lammert; Louis Goldstein; Shrikanth Narayanan
Journal:  PLoS One       Date:  2014-08-18       Impact factor: 3.240

9.  Anticipatory Posturing of the Vocal Tract Reveals Dissociation of Speech Movement Plans from Linguistic Units.

Authors:  Sam Tilsen; Pascal Spincemaille; Bo Xu; Peter Doerschuk; Wen-Ming Luh; Elana Feldman; Yi Wang
Journal:  PLoS One       Date:  2016-01-13       Impact factor: 3.240

10.  Comparison of Cartesian and Non-Cartesian Real-Time MRI Sequences at 1.5T to Assess Velar Motion and Velopharyngeal Closure during Speech.

Authors:  Andreia C Freitas; Marzena Wylezinska; Malcolm J Birch; Steffen E Petersen; Marc E Miquel
Journal:  PLoS One       Date:  2016-04-13       Impact factor: 3.240

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