Literature DB >> 23204279

Dynamic 3-D visualization of vocal tract shaping during speech.

Yinghua Zhu1, Yoon-Chul Kim, Michael I Proctor, Shrikanth S Narayanan, Krishna S Nayak.   

Abstract

Noninvasive imaging is widely used in speech research as a means to investigate the shaping and dynamics of the vocal tract during speech production. 3-D dynamic MRI would be a major advance, as it would provide 3-D dynamic visualization of the entire vocal tract. We present a novel method for the creation of 3-D dynamic movies of vocal tract shaping based on the acquisition of 2-D dynamic data from parallel slices and temporal alignment of the image sequences using audio information. Multiple sagittal 2-D real-time movies with synchronized audio recordings are acquired for English vowel-consonant-vowel stimuli /ala/, /a.ιa/, /asa/, and /a∫a/. Audio data are aligned using mel-frequency cepstral coefficients (MFCC) extracted from windowed intervals of the speech signal. Sagittal image sequences acquired from all slices are then aligned using dynamic time warping (DTW). The aligned image sequences enable dynamic 3-D visualization by creating synthesized movies of the moving airway in the coronal planes, visualizing desired tissue surfaces and tube-shaped vocal tract airway after manual segmentation of targeted articulators and smoothing. The resulting volumes allow for dynamic 3-D visualization of salient aspects of lingual articulation, including the formation of tongue grooves and sublingual cavities, with a temporal resolution of 78 ms.

Entities:  

Mesh:

Year:  2012        PMID: 23204279      PMCID: PMC3896513          DOI: 10.1109/TMI.2012.2230017

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  12 in total

1.  Modeling the motion of the internal tongue from tagged cine-MRI images.

Authors:  M Stone; E P Davis; A S Douglas; M NessAiver; R Gullapalli; W S Levine; A Lundberg
Journal:  J Acoust Soc Am       Date:  2001-06       Impact factor: 1.840

2.  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

3.  Synchronized and noise-robust audio recordings during realtime magnetic resonance imaging scans.

Authors:  Erik Bresch; Jon Nielsen; Krishna Nayak; Shrikanth Narayanan
Journal:  J Acoust Soc Am       Date:  2006-10       Impact factor: 1.840

4.  Measurement of temporal changes in vocal tract area function from 3D cine-MRI data.

Authors:  Hironori Takemoto; Kiyoshi Honda; Shinobu Masaki; Yasuhiro Shimada; Ichiro Fujimoto
Journal:  J Acoust Soc Am       Date:  2006-02       Impact factor: 1.840

5.  Vocal tract area function estimation from midsagittal dimensions with CT scans and a vocal tract cast: modeling the transition with two sets of coefficients.

Authors:  P Perrier; L J Boë; R Sock
Journal:  J Speech Hear Res       Date:  1992-02

6.  Pharyngeal articulation in the production of voiced and voiceless fricatives.

Authors:  Michael I Proctor; Christine H Shadle; Khalil Iskarous
Journal:  J Acoust Soc Am       Date:  2010-03       Impact factor: 1.840

7.  Vocal tract area functions from magnetic resonance imaging.

Authors:  B H Story; I R Titze; E A Hoffman
Journal:  J Acoust Soc Am       Date:  1996-07       Impact factor: 1.840

8.  Toward articulatory-acoustic models for liquid approximants based on MRI and EPG data. Part I. The laterals.

Authors:  S S Narayanan; A A Alwan; K Haker
Journal:  J Acoust Soc Am       Date:  1997-02       Impact factor: 1.840

9.  Cross-sectional tongue shape during the production of vowels.

Authors:  M Stone; T H Shawker; T L Talbot; A H Rich
Journal:  J Acoust Soc Am       Date:  1988-04       Impact factor: 1.840

10.  Accelerated three-dimensional upper airway MRI using compressed sensing.

Authors:  Yoon-Chul Kim; Shrikanth S Narayanan; Krishna S Nayak
Journal:  Magn Reson Med       Date:  2009-06       Impact factor: 4.668

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  7 in total

1.  Dynamic Volume Computed Tomography Imaging of the Upper Airway in Obstructive Sleep Apnea.

Authors:  Robert J Fleck; Stacey L Ishman; Sally R Shott; Ephraim J Gutmark; Keith B McConnell; Mohamed Mahmoud; Goutham Mylavarapu; Dhananjay R Subramaniam; Rhonda Szczesniak; Raouf S Amin
Journal:  J Clin Sleep Med       Date:  2017-02-15       Impact factor: 4.062

2.  3D dynamic MRI of the vocal tract during natural speech.

Authors:  Yongwan Lim; Yinghua Zhu; Sajan Goud Lingala; Dani Byrd; Shrikanth Narayanan; Krishna Shrinivas Nayak
Journal:  Magn Reson Med       Date:  2018-11-03       Impact factor: 4.668

3.  Vocal Acoustic Features as Potential Biomarkers for Identifying/Diagnosing Depression: A Cross-Sectional Study.

Authors:  Qing Zhao; Hong-Zhen Fan; Yan-Li Li; Lei Liu; Ya-Xue Wu; Yan-Li Zhao; Zhan-Xiao Tian; Zhi-Ren Wang; Yun-Long Tan; Shu-Ping Tan
Journal:  Front Psychiatry       Date:  2022-04-28       Impact factor: 5.435

Review 4.  Real-Time Magnetic Resonance Imaging.

Authors:  Krishna S Nayak; Yongwan Lim; Adrienne E Campbell-Washburn; Jennifer Steeden
Journal:  J Magn Reson Imaging       Date:  2020-12-09       Impact factor: 4.813

5.  Whole heart coronary imaging with flexible acquisition window and trigger delay.

Authors:  Keigo Kawaji; Murilo Foppa; Sébastien Roujol; Mehmet Akçakaya; Reza Nezafat
Journal:  PLoS One       Date:  2015-02-26       Impact factor: 3.240

6.  Weight-bearing MR imaging as an option in the study of gravitational effects on the vocal tract of untrained subjects in singing phonation.

Authors:  Louisa Traser; Michael Burdumy; Bernhard Richter; Marco Vicari; Matthias Echternach
Journal:  PLoS One       Date:  2014-11-07       Impact factor: 3.240

7.  Acoustic differences between healthy and depressed people: a cross-situation study.

Authors:  Jingying Wang; Lei Zhang; Tianli Liu; Wei Pan; Bin Hu; Tingshao Zhu
Journal:  BMC Psychiatry       Date:  2019-10-15       Impact factor: 3.630

  7 in total

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