ArticleScientific data2021
A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images.
Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 40 citations in OpenAlex.
- Interindividual vocal tract diversity influences the phonetic diversification of spoken languages.PLoS biology · 2026Article
- Multi-Atlas-Based Segmentation of Pediatric Vocal Tract Anatomy in Dynamic Magnetic Resonance Imaging.Journal of speech, language, and hearing research : JSLHR · 2026Article
- A New k-Space Model for Non-Cartesian Fourier Imaging.IEEE transactions on computational imaging · 2026Article
- A speech-to-video synthesis approach using spatio-temporal diffusion for vocal tract MRI.Medical image analysis · 2026Article
- Improved dynamic MRI of the wrist and heart at 0.55 T enabled by rapid 3D printed flexible coils.Nature communications · 2026Article
- Feasibility of Golden Angle Spiral Real-Time Phase Contrast MRI at 0.55T: A Single-Center Prospective Study.Bioengineering (Basel, Switzerland) · 2026Article
- PRORED: a hybrid transformer framework with progressive refinement decoding for segmenting dynamic speech MRI.BJR artificial intelligence · 2026Article
- Elucidating ultrasound imaging of /ɹ/ tongue shapes using full-wave numerical simulationsa).The Journal of the Acoustical Society of America · 2025Article
- Lightweight error-tolerant edge detection using memristor-enabled stochastic computing.Nature communications · 2025Article
- An Audio-Ultrasound Synchronized Database of Tongue Movement for Mandarin speech.Scientific data · 2025Article
- Open-Source Manually Annotated Vocal Tract Database for Automatic Segmentation from 3D MRI Using Deep Learning: Benchmarking 2D and 3D Convolutional and Transformer Networks.Journal of voice : official journal of the Voice Foundation · 2025Article
- NEBULA101: an open dataset for the study of language aptitude in behaviour, brain structure and function.Scientific data · 2025Article
- Contrastive Learning Approach for Assessment of Phonological Precision in Patients with Tongue Cancer Using MRI Data.Interspeech · 2024Article
- Deep learning for accelerated and robust MRI reconstruction.Magma (New York, N.Y.) · 2024Review
- Sharing Data Is Essential for the Future of AI in Medical Imaging.Radiology. Artificial intelligence · 2024Article
- Real-time speech MRI datasets with corresponding articulator ground-truth segmentations.Scientific data · 2023Article
- Super-Resolved Dynamic 3D Reconstruction of the Vocal Tract during Natural Speech.Journal of imaging · 2023Article
- Automatic Multiple Articulator Segmentation in Dynamic Speech MRI Using a Protocol Adaptive Stacked Transfer Learning U-NET Model.Bioengineering (Basel, Switzerland) · 2023Article
- M4Raw: A multi-contrast, multi-repetition, multi-channel MRI k-space dataset for low-field MRI research.Scientific data · 2023Article
- Synthesizing Complex-Valued Multicoil MRI Data from Magnitude-Only Images.Bioengineering (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
19 authors at 2 institutions in 1 country.
Funding
Abstract
Real-time magnetic resonance imaging (RT-MRI) of human speech production is enabling significant advances in speech science, linguistics, bio-inspired speech technology development, and clinical applications. Easy access to RT-MRI is however limited, and comprehensive datasets with broad access are needed to catalyze research across numerous domains. The imaging of the rapidly moving articulators and dynamic airway shaping during speech demands high spatio-temporal resolution and robust reconstruction methods. Further, while reconstructed images have been published, to-date there is no open dataset providing raw multi-coil RT-MRI data from an optimized speech production experimental setup. Such datasets could enable new and improved methods for dynamic image reconstruction, artifact correction, feature extraction, and direct extraction of linguistically-relevant biomarkers. The present dataset offers a unique corpus of 2D sagittal-view RT-MRI videos along with synchronized audio for 75 participants performing linguistically motivated speech tasks, alongside the corresponding public domain raw RT-MRI data. The dataset also includes 3D volumetric vocal tract MRI during sustained speech sounds and high-resolution static anatomical T2-weighted upper airway MRI for each participant.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.