O. Rastadmehr, T. Bressmann, R. Smyth, and J. Irish, Increased midsagittal tongue velocity as indication of articulatory compensation in patients with lateral partial glossectomies, Head Neck, vol.30, pp.718-726, 2008.

K. L. Moll, Cinefluorographic techniques in speech research, J. Speech Hear. Res, vol.3, pp.227-241, 1960.

J. R. Westbury, G. Turner, J. Dembowski, and . X-ray, Microbeam Speech Production Database User'S Handbook, 1994.

S. G. Adams, G. Weismer, and R. D. Kent, Speaking rate and speech movement velocity profiles, J. Speech Lang. Hear. Res, vol.36, pp.41-54, 1993.

M. Stone, A guide to analysing tongue motion from ultrasound images, Clin. Linguist. Phonetics, vol.19, pp.455-501, 2005.

L. Davidson, Comparing tongue shapes from ultrasound imaging using smoothing spline analysis of variance, J. Acoust. Soc. Am, vol.120, pp.407-415, 2006.

D. J. Ostry, E. Keller, and A. Parush, Similarities in the control of the speech articulators and the limbs: Kinematics of tongue dorsum movement in speech, J. Exp. Psychol. Hum. Percept. Perform, vol.9, 1983.

W. F. Katz, S. Mehta, M. Wood, and J. Wang, Using electromagnetic articulography with a tongue lateral sensor to discriminate manner of articulation, J. Acoust. Soc. Am, vol.141, pp.57-63, 2017.

S. Harper, S. Lee, L. Goldstein, and D. Byrd, Simultaneous electromagnetic articulography and electroglottography data acquisition of natural speech, J. Acoust. Soc. Am, vol.144, pp.380-385, 2018.

T. Kaburagi, K. Wakamiya, and M. Honda, Three-dimensional electromagnetic articulography: A measurement principle, J. Acoust. Soc. Am, vol.118, pp.428-443, 2005.

M. D. Mcclean, Patterns of orofacial movement velocity across variations in speech rate, J. Speech Lang. Hear. Res, vol.43, pp.205-216, 2000.

S. Lee, S. Yildirim, A. Kazemzadeh, and S. Narayanan, An articulatory study of emotional speech production, Proceedings of the Ninth European Conference on Speech Communication and Technology, pp.4-8, 2005.

J. E. Flege, Effects of speaking rate on tongue position and velocity of movement in vowel production, J. Acoust. Soc. Am, vol.84, pp.901-916, 1988.

S. Masaki, M. K. Tiede, K. Honda, Y. Shimada, I. Fujimoto et al., MRI-based speech production study using a synchronized sampling method, J. Acoust. Soc. Jpn. E, vol.20, pp.375-379, 1999.

M. Stone, E. P. Davis, A. S. Douglas, M. N. Aiver, R. Gullapalli et al., Modeling tongue surface contours from cine-MRI images, J. Speech Lang. Hear. Res, vol.44, pp.1026-1040, 2001.

M. Stone, X. Liu, H. Chen, and J. L. Prince, A preliminary application of principal components and cluster analysis to internal tongue deformation patterns, Comput. Methods Biomech. Biomed. Eng, vol.13, pp.493-503, 2010.

J. Woo, F. Xing, J. Lee, M. Stone, and J. L. Prince, A spatio-temporal atlas and statistical model of the tongue during speech from cine-MRI, Comput. Methods Biomech. Biomed. Eng. Imaging Vis, vol.6, pp.520-531, 2018.

H. Takemoto, K. Honda, S. Masaki, Y. Shimada, and I. Fujimoto, Measurement of temporal changes in vocal tract area function from 3D cine-MRI data, J. Acoust. Soc. Am, vol.119, pp.1037-1049, 2006.

Y. Zhu, Y. C. Kim, M. I. Proctor, S. S. Narayanan, and K. S. Nayak, Dynamic 3D visualization of vocal tract shaping during speech, IEEE Trans. Med Imaging, vol.32, pp.838-848, 2012.

S. Narayanan, K. Nayak, S. Lee, A. Sethy, and D. Byrd, An approach to real-time magnetic resonance imaging for speech production, J. Acoust. Soc. Am, vol.115, pp.1771-1776, 2004.

M. Uecker, S. Zhang, D. Voit, A. Karaus, K. D. Merboldt et al., Real-time MRI at a resolution of 20 ms, NMR Biomed, vol.23, pp.986-994, 2010.

A. Niebergall, S. Zhang, E. Kunay, G. Keydana, M. Job et al., Real-time MRI of speaking at a resolution of 33 ms: Undersampled radial FLASH with nonlinear inverse reconstruction, Magn. Reson. Med, vol.69, pp.477-485, 2013.

P. W. Iltis, J. Frahm, D. Voit, A. A. Joseph, E. Schoonderwaldt et al., High-speed real-time magnetic resonance imaging of fast tongue movements in elite horn players, Quant. Imaging Med. Surg, vol.5, 2015.

N. F. Osman and J. L. Prince, Visualizing myocardial function using HARP MRI, Phys. Med. Biol, vol.45, 1665.

M. Stone, E. P. Davis, A. S. Douglas, M. Nessaiver, R. Gullapalli et al., Modeling the motion of the internal tongue from tagged cine-MRI images, J. Acoust. Soc. Am, vol.109, pp.2974-2982, 2001.

V. Parthasarathy, J. L. Prince, M. Stone, E. Z. Murano, and M. Nessaiver, Measuring tongue motion from tagged cine-MRI using harmonic phase (HARP) processing, J. Acoust. Soc. Am, vol.121, pp.491-504, 2007.

X. Liu, M. Stone, and J. L. Prince, Tracking tongue motion in three dimensions using tagged MR image, Proceedings of the 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, pp.1372-1375, 2006.

L. Axel and L. Dougherty, MR imaging of motion with spatial modulation of magnetization, Radiology, vol.171, pp.841-845, 1989.

S. E. Fischer, G. Mckinnon, S. Maier, and P. Boesiger, Improved myocardial tagging contrast, Magn. Reson. Med, 0200.

J. Woo, M. Stone, Y. Suo, E. Z. Murano, and J. L. Prince, Tissue-point motion tracking in the tongue from cine MRI and tagged MRI, J. Speech Lang. Hear. Res, vol.57, pp.626-636, 2014.

A. D. Scott, M. Wylezinska, M. J. Birch, and M. E. Miquel, Speech MRI: Morphology and function, Phys. Med, vol.30, pp.604-618, 2014.

S. Lee, E. Bresch, J. Adams, A. Kazemzadeh, and S. Narayanan, A study of emotional speech articulation using a fast magnetic resonance imaging technique, Proceedings of the Ninth International Conference on Spoken Language Processing, pp.17-21, 2006.

M. Labrunie, P. Badin, D. Voit, A. A. Joseph, L. Lamalle et al., Tracking contours of orofacial articulators from real-time MRI of speech, Proceedings of the Interspeech, pp.470-474, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01368251

K. Somandepalli, A. Toutios, and S. S. Narayanan, Semantic Edge Detection for Tracking Vocal Tract Air-Tissue Boundaries in Real-Time Magnetic Resonance Images, Proceedings of the Interspeech, pp.631-635, 2017.

M. Eslami, C. Neuschaefer-rube, and A. Serrurier, Automatic vocal tract segmentation based on conditional generative adversarial neural network, Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung, pp.263-270, 2019.

P. R. Moran, A flow velocity zeugmatographic interlace for NMR imaging in humans, Magn. Reson. Imaging, vol.1, pp.197-203, 1982.

M. A. Bernstein, K. F. King, and X. J. Zhou, Handbook of MRI Pulse Sequences, 2004.

P. Ladefoged, Maddieson, I. The Sounds of the World's Languages, 1996.

G. Nayler, D. Firmin, and D. Longmore, Blood flow imaging by cine magnetic resonance, J. Comput. Assist. Tomogr, vol.10, pp.715-722, 1986.

F. Odille, C. Pasquier, R. Abacherli, P. A. Vuissoz, G. P. Zientara et al., Noise cancellation signal processing method and computer system for improved real-time electrocardiogram artifact correction during MRI data acquisition, IEEE Trans. Biomed. Eng, vol.54, pp.630-640, 2007.

A. Ozerov, E. Vincent, and F. Bimbot, A general flexible framework for the handling of prior information in audio source separation, IEEE Trans. Audio Speech Lang. Process, vol.20, pp.1118-1133, 2012.
URL : https://hal.archives-ouvertes.fr/inria-00536917

I. Douros, A. Tsukanova, K. Isaieva, P. A. Vuissoz, and Y. Laprie, Towards a method of dynamic vocal tract shapes generation by combining static 3D and dynamic 2D MRI speech data, Proceedings of the Interspeech, pp.15-19, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02181333

F. Odille, J. A. Steeden, V. Muthurangu, and D. Atkinson, Automatic segmentation propagation of the aorta in real-time phase contrast MRI using nonrigid registration, J. Magn. Reson. Imaging, vol.33, pp.232-238, 2011.

S. Dreha-kulaczewski, A. A. Joseph, K. D. Merboldt, H. C. Ludwig, J. Gärtner et al., Inspiration is the major regulator of human CSF flow, J. Neurosci, vol.35, pp.2485-2491, 2015.

A. A. Joseph, K. D. Merboldt, D. Voit, S. Zhang, M. Uecker et al., Real-time phase-contrast MRI of cardiovascular blood flow using undersampled radial fast low-angle shot and nonlinear inverse reconstruction, NMR Biomed, vol.25, pp.917-924, 2012.