Conference proceeding
State-of-the-art MRI Protocol for Comprehensive Assessment of Vocal Tract Structure and Function
17TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2016), VOLS 1-5: UNDERSTANDING SPEECH PROCESSING IN HUMANS AND MACHINES, pp.475-479
2016
DOI: 10.21437/Interspeech.2016-559
Abstract
Magnetic Resonance Imaging (MRI) provides a safe and flexible means to study the vocal tract, and is increasingly used in speech production research. This work details a state-ofthe-art MRI protocol for comprehensive assessment of vocal tract structure and function, and presents results from representative speakers. The system incorporates (a) custom upper airway coils that are maximally sensitive to vocal tract tissues, (b) graphical user interface for 2D real-time MRI that provides on-the-fly reconstruction for interactive localization, and correction of imaging artifacts, (c) off-line constrained reconstruction for generating high spatio-temporal resolution dynamic images at (83 frames per sec, 2.4 mm(2)), (d) 3D static imaging of sounds sustained for 7 sec with full vocal tract coverage and isotropic resolution (resolution: 1.25 mm3), (e) T2-weighted high-resolution, high-contrast depiction of soft-tissue boundaries of the full vocal tract (axial, coronal, sagittal sweeps with resolution:0.58 x 0.58 x 3 mm(3)), and (f) simultaneous audio recording with off-line noise cancellation and temporal alignment of audio with 2D real-time MRI. A stimuli set was designed to capture efficiently salient, static and dynamic, articulatory and morphological aspects of speech production in 90 minute data acquisition sessions.
Details
- Title: Subtitle
- State-of-the-art MRI Protocol for Comprehensive Assessment of Vocal Tract Structure and Function
- Creators
- Sajan Goud Lingala - University of Southern CaliforniaAsterios Toutios - University of Southern CaliforniaJohannes Toger - University of Southern CaliforniaYongwan Lim - University of Southern CaliforniaYinghua Zhu - University of Southern CaliforniaYoon-Chul Kim - Samsung Medical CenterColin Vaz - University of Southern CaliforniaShrikanth Narayanan - University of Southern CaliforniaKrishna Nayak - University of Southern California
- Resource Type
- Conference proceeding
- Publication Details
- 17TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2016), VOLS 1-5: UNDERSTANDING SPEECH PROCESSING IN HUMANS AND MACHINES, pp.475-479
- DOI
- 10.21437/Interspeech.2016-559
- Language
- English
- Date published
- 2016
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology
- Record Identifier
- 9984239329902771
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