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

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.

Included are the following files:

dataset.zip: contains the entire dataset of 75 subjects

dataset_2drt_video_only.zip: contains only files of 2D RT-MRI videos of 75 subjects

dataset_t2w_only.zip: contains only files of T2-weighted images of 75 subjects

dataset_3d_only.zip: contains only files of 3D volumetric images of 75 subjects
example_for_sub001.zip: contains all files of 1 subject (sub001)
metafile_public_20210129.json: contains meta information

Subjects.xlsx: contains demographic information for each subject

Stimuli.pptx: contains the experimental stimuli including scripts and pictures used for the visualization to the subjects