A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images

[1]  Jean-Luc Starck,et al.  Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction , 2021, IEEE Transactions on Medical Imaging.

[2]  Shrikanth S. Narayanan,et al.  Aliasing artifact reduction in spiral real‐time MRI , 2021, Magnetic resonance in medicine.

[3]  Attention-gated convolutional neural networks for off-resonance correction of spiral real-time MRI , 2021, ArXiv.

[4]  Krishna S Nayak,et al.  Real‐Time Magnetic Resonance Imaging , 2020, Journal of magnetic resonance imaging : JMRI.

[5]  Shrikanth S. Narayanan,et al.  Studying Clicks Using Real-Time MRI , 2020 .

[6]  Lee Potter,et al.  OCMR (v1.0)--Open-Access Multi-Coil k-Space Dataset for Cardiovascular Magnetic Resonance Imaging , 2020, 2008.03410.

[7]  Shrikanth S. Narayanan,et al.  Variability in individual constriction contributions to third formant values in American English /ɹ/. , 2020, The Journal of the Acoustical Society of America.

[8]  Shrikanth S. Narayanan,et al.  How an aglossic speaker produces an alveolar-like percept without a functional tongue tip. , 2020, The Journal of the Acoustical Society of America.

[9]  Shrikanth S. Narayanan,et al.  Vocal Tract Articulatory Contour Detection in Real-Time Magnetic Resonance Images Using Spatio-Temporal Context , 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[10]  Sungbok Lee,et al.  Vocal tract shaping of emotional speech , 2020, Comput. Speech Lang..

[11]  Mariya Doneva,et al.  An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction , 2020, IEEE Access.

[12]  Jean-Luc Starck,et al.  Benchmarking MRI Reconstruction Neural Networks on Large Public Datasets , 2020, Applied Sciences.

[13]  Michael Rabbat,et al.  fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning. , 2020, Radiology. Artificial intelligence.

[14]  Deblurring for spiral real‐time MRI using convolutional neural networks , 2020, Magnetic resonance in medicine.

[15]  Michael G. Rabbat,et al.  Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge , 2020, Magnetic resonance in medicine.

[16]  Shrikanth Narayanan,et al.  A modular architecture for articulatory synthesis from gestural specification. , 2019, The Journal of the Acoustical Society of America.

[17]  Ryan L Brunsing,et al.  Deep residual network for off‐resonance artifact correction with application to pediatric body MRA with 3D cones , 2019, Magnetic resonance in medicine.

[18]  Anastasiia Tsukanova,et al.  A Multimodal Real-Time MRI Articulatory Corpus of French for Speech Research , 2019, INTERSPEECH.

[19]  Shrikanth Narayanan,et al.  Advances in vocal tract imaging and analysis , 2019, The Routledge Handbook of Phonetics.

[20]  Shrikanth Narayanan,et al.  Task-dependence of articulator synergies. , 2019, The Journal of the Acoustical Society of America.

[21]  Shrikanth Narayanan,et al.  Engineering Innovation in Speech Science: Data and Technologies , 2019, Perspectives of the ASHA Special Interest Groups.

[22]  Shrikanth Narayanan,et al.  3D dynamic MRI of the vocal tract during natural speech , 2018, Magnetic resonance in medicine.

[23]  Shrikanth S Narayanan,et al.  Dynamic off‐resonance correction for spiral real‐time MRI of speech , 2019, Magnetic resonance in medicine.

[24]  Shrikanth S. Narayanan,et al.  Vertical larynx actions and larynx-oral timing in ejectives and implosives , 2019 .

[25]  Shrikanth S. Narayanan,et al.  Analysis of speech production real-time MRI , 2018, Comput. Speech Lang..

[26]  Miran Oh,et al.  ACT: An Automatic Centroid Tracking tool for analyzing vocal tract actions in real-time magnetic resonance imaging speech production data. , 2018, The Journal of the Acoustical Society of America.

[27]  Shrikanth S. Narayanan,et al.  Speed-accuracy tradeoffs in human speech production , 2018, PloS one.

[28]  Shrikanth S. Narayanan,et al.  Enriching the understanding of glottalic consonant production: Vertical larynx movement in Hausa ejectives and implosives , 2018, The Journal of the Acoustical Society of America.

[29]  Ganesh Adluru,et al.  Validation of highly accelerated real‐time cardiac cine MRI with radial k‐space sampling and compressed sensing in patients at 1.5T and 3T , 2018, Magnetic resonance in medicine.

[30]  V. Muthurangu,et al.  Real-time assessment of right and left ventricular volumes and function in children using high spatiotemporal resolution spiral bSSFP with compressed sensing , 2018, Journal of Cardiovascular Magnetic Resonance.

[31]  Craig H Meyer,et al.  Assessment of velopharyngeal function with dual‐planar high‐resolution real‐time spiral dynamic MRI , 2018, Magnetic resonance in medicine.

[32]  Richard Frayne,et al.  An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement , 2017, NeuroImage.

[33]  Shrikanth Narayanan,et al.  Feasibility of through‐time spiral generalized autocalibrating partial parallel acquisition for low latency accelerated real‐time MRI of speech , 2017, Magnetic resonance in medicine.

[34]  Shrikanth S. Narayanan,et al.  Using real time magnetic resonance imaging to measure changes in articulatory behavior due to partial glossectomy , 2017 .

[35]  Shrikanth S. Narayanan,et al.  Database of Volumetric and Real-Time Vocal Tract MRI for Speech Science , 2017, INTERSPEECH.

[36]  Shrikanth S. Narayanan,et al.  Semantic Edge Detection for Tracking Vocal Tract Air-Tissue Boundaries in Real-Time Magnetic Resonance Images , 2017, INTERSPEECH.

[37]  Shrikanth Narayanan,et al.  Bilabial Substitution Patterns During Consonant Production in a Case of Congenital Aglossia , 2017 .

[38]  Maxim Zaitsev,et al.  One‐second MRI of a three‐dimensional vocal tract to measure dynamic articulator modifications , 2017, Journal of magnetic resonance imaging : JMRI.

[39]  Shrikanth Narayanan,et al.  Test-retest repeatability of human speech biomarkers from static and real-time dynamic magnetic resonance imaging. , 2017, The Journal of the Acoustical Society of America.

[40]  Shrikanth S. Narayanan,et al.  Characterizing Articulation in Apraxic Speech Using Real-Time Magnetic Resonance Imaging. , 2017, Journal of speech, language, and hearing research : JSLHR.

[41]  David Atkinson,et al.  ISMRM Raw data format: A proposed standard for MRI raw datasets , 2017, Magnetic resonance in medicine.

[42]  Shrikanth Narayanan,et al.  A fast and flexible MRI system for the study of dynamic vocal tract shaping , 2017, Magnetic resonance in medicine.

[43]  Shrikanth S. Narayanan,et al.  L2 Acquisition and Production of the English Rhotic Pharyngeal Gesture , 2016, INTERSPEECH.

[44]  Shrikanth S. Narayanan,et al.  Convex Hull Convolutive Non-Negative Matrix Factorization for Uncovering Temporal Patterns in Multivariate Time-Series Data , 2016, INTERSPEECH.

[45]  Shrikanth S. Narayanan,et al.  Perceptual Lateralization of Coda Rhotic Production in Puerto Rican Spanish , 2016, INTERSPEECH.

[46]  Shrikanth S. Narayanan,et al.  Improved Depiction of Tissue Boundaries in Vocal Tract Real-Time MRI Using Automatic Off-Resonance Correction , 2016, INTERSPEECH.

[47]  Shrikanth S. Narayanan,et al.  State-of-the-Art MRI Protocol for Comprehensive Assessment of Vocal Tract Structure and Function , 2016, INTERSPEECH.

[48]  Shrikanth S. Narayanan,et al.  Advances in real-time magnetic resonance imaging of the vocal tract for speech science and technology research , 2016, APSIPA Transactions on Signal and Information Processing.

[49]  Marc E Miquel,et al.  Recommendations for real‐time speech MRI , 2016, Journal of magnetic resonance imaging : JMRI.

[50]  Shrikanth Narayanan,et al.  State-of-the-Art MRI Protocol for Comprehensive Assessment of Vocal Tract Structure and Function , 2016, INTERSPEECH.

[51]  Shrikanth S. Narayanan,et al.  On Short-Time Estimation of Vocal Tract Length from Formant Frequencies , 2015, PloS one.

[52]  Zhi-Pei Liang,et al.  High‐resolution dynamic speech imaging with joint low‐rank and sparsity constraints , 2015, Magnetic resonance in medicine.

[53]  Shrikanth S. Narayanan,et al.  Factor analysis of vocal-tract outlines derived from real-time magnetic resonance imaging data , 2015, ICPhS.

[54]  Shrikanth Narayanan,et al.  Real-time magnetic resonance imaging and electromagnetic articulography database for speech production research (TC). , 2014, The Journal of the Acoustical Society of America.

[55]  Marzena Wylezinska,et al.  Speech MRI: morphology and function. , 2014, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

[56]  Ravi Ranjan,et al.  Evaluation of highly accelerated real‐time cardiac cine MRI in tachycardia , 2014, NMR in biomedicine.

[57]  Shrikanth S. Narayanan,et al.  Enhanced airway-tissue boundary segmentation for real-time magnetic resonance imaging data , 2014 .

[58]  Shrikanth Narayanan,et al.  USC-EMO-MRI corpus: An emotional speech production database recorded by real-time magnetic resonance imaging , 2014 .

[59]  Jens Frahm,et al.  Real‐time MRI of speaking at a resolution of 33 ms: Undersampled radial FLASH with nonlinear inverse reconstruction , 2013, Magnetic resonance in medicine.

[60]  Shrikanth S. Narayanan,et al.  Vocal tract cross-distance estimation from real-time MRI using region-of-interest analysis , 2013, INTERSPEECH.

[61]  Athanasios Katsamanis,et al.  Direct Estimation of Articulatory Kinematics from Real-Time Magnetic Resonance Image Sequences , 2011, INTERSPEECH.

[62]  Ravi Seethamraju,et al.  Faster dynamic imaging of speech with field inhomogeneity corrected spiral fast low angle shot (FLASH) at 3 T , 2010, Journal of magnetic resonance imaging : JMRI.

[63]  Shrikanth S. Narayanan,et al.  Data-driven analysis of realtime vocal tract MRI using correlated image regions , 2010, INTERSPEECH.

[64]  Athanasios Katsamanis,et al.  Rapid semi-automatic segmentation of real-time magnetic resonance images for parametric vocal tract analysis , 2010, INTERSPEECH.

[65]  R. Fox,et al.  Articulation rate across dialect, age, and gender , 2009, Language Variation and Change.

[66]  Shrikanth S. Narayanan,et al.  Accelerated three‐dimensional upper airway MRI using compressed sensing , 2009, Magnetic resonance in medicine.

[67]  Shrikanth S. Narayanan,et al.  Region Segmentation in the Frequency Domain Applied to Upper Airway Real-Time Magnetic Resonance Images , 2009, IEEE Transactions on Medical Imaging.

[68]  Yoon-Chul Kim,et al.  Seeing speech: Capturing vocal tract shaping using real-time magnetic resonance imaging [Exploratory DSP] , 2008, IEEE Signal Processing Magazine.

[69]  D. Donoho,et al.  Sparse MRI: The application of compressed sensing for rapid MR imaging , 2007, Magnetic resonance in medicine.

[70]  John G. Csernansky,et al.  Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults , 2007, Journal of Cognitive Neuroscience.

[71]  F. Sebert,et al.  SparseSENSE: Randomly-Sampled Parallel Imaging using Compressed Sensing , 2007 .

[72]  Shrikanth Narayanan,et al.  Synchronized and noise-robust audio recordings during realtime magnetic resonance imaging scans. , 2006, The Journal of the Acoustical Society of America.

[73]  Hugo R. Shi,et al.  Toeplitz-based iterative image reconstruction for MRI with correction for magnetic field inhomogeneity , 2005, IEEE Transactions on Signal Processing.

[74]  Shrikanth Narayanan,et al.  An approach to real-time magnetic resonance imaging for speech production. , 2003, The Journal of the Acoustical Society of America.

[75]  J.M. Santos,et al.  Flexible real-time magnetic resonance imaging framework , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[76]  Jeffrey A. Fessler,et al.  Fast, iterative image reconstruction for MRI in the presence of field inhomogeneities , 2003, IEEE Transactions on Medical Imaging.

[77]  E. Vajda Handbook of the International Phonetic Association: A Guide to the Use of the International Phonetic Alphabet , 2000 .

[78]  D. O. Walsh,et al.  Adaptive reconstruction of phased array MR imagery , 2000, Magnetic resonance in medicine.

[79]  C J Hardy,et al.  Real‐time interactive MRI on a conventional scanner , 1997, Magnetic resonance in medicine.

[80]  Jonathan G. Fiscus,et al.  DARPA TIMIT:: acoustic-phonetic continuous speech corpus CD-ROM, NIST speech disc 1-1.1 , 1993 .

[81]  F. Darley,et al.  Diagnosis of Motor Speech Disorders , 1975 .