mlsanityData to 7 Oct 2026

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

arXiv 2102.07896 ↗First posted 16 Feb 2021eess.SP cs.SD eess.AScited by 21

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Abstract (arXiv)

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 subjects performing linguistically motivated speech tasks, alongside the corresponding first-ever 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 subject.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Feb 2021.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 5; 2025: 9; 2026: 6.

21 papers.

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  1. 2024Bora: Biomedical Generalist Video Generation Modelcited by 15
  2. 2024Speech2rtMRI: Speech-Guided Diffusion Model for Real-time MRI Video of the Vocal Tract during Speechcited by 4
  3. 2023Speech Understanding on Tiny Devices with A Learning Cachecited by 3
  4. 2024Multimodal Segmentation for Vocal Tract Modelingcited by 3
  5. 2025Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognitioncited by 3
  6. 2024Artificial Intelligence for Biomedical Video Generationcited by 2
  7. 2025A Speech-to-Video Synthesis Approach Using Spatio-Temporal Diffusion for Vocal Tract MRIcited by 2
  8. 2025MOOSE: Pay Attention to Temporal Dynamics for Video Understanding via Optical Flowscited by 2
  9. 2025VocSegMRI: Multimodal Learning for Precise Vocal Tract Segmentation in Real-time MRIcited by 2
  10. 2026An Approach to Simultaneous Acquisition of Real-Time MRI Video, EEG, and Surface EMG for Articulatory, Brain, and Muscle Activity During Speech Productioncited by 2
  11. 2025ARTI-6: Towards Six-dimensional Articulatory Speech Encodingcited by 1
  12. 2026Speech Codec Probing from Semantic and Phonetic Perspectivescited by 1
9 more
  1. 2026SIREM: Speech-Informed MRI Reconstruction with Learned Samplingcited by 1
  2. 2024Lightweight, error-tolerant edge detection using memristor-enabled stochastic logicscited by 0
  3. 2025Open-Source Manually Annotated Vocal Tract Database for Automatic Segmentation from 3D MRI Using Deep Learning: Benchmarking 2D and 3D Convolutional and Transformer Networkscited by 0
  4. 2025Role of the Pretraining and the Adaptation data sizes for low-resource real-time MRI video segmentationcited by 0
  5. 2025Speech Audio Generation from dynamic MRI via a Knowledge Enhanced Conditional Variational Autoencodercited by 0
  6. 2025A New k-Space Model for Non-Cartesian Fourier Imagingcited by 0
  7. 2026Structured Phonological Representations for Audio-Articulatory rtMRI Speech Classificationcited by 0
  8. 2026Arti-JEPA: Adapting Video World Model to Real-Time MRI of the Vocal Tract for Speech-Production Analysiscited by 0
  9. 2026Reconstructing the Vocal Tract with Differentiable Acoustic Simulationcited by 0