An open-source manually annotated 3D MRI vocal tract database for 10 French speakers enables benchmarking showing 3D U-Nets with transfer learning segment vocal tract airspace at Dice around 0.90.
METHODS: Datasets and Pre-processing: Datasets used in this work were divided into two parts: the pre- training dataset, and the training dataset
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Open-Source Manually Annotated Vocal Tract Database for Automatic Segmentation from 3D MRI Using Deep Learning: Benchmarking 2D and 3D Convolutional and Transformer Networks
An open-source manually annotated 3D MRI vocal tract database for 10 French speakers enables benchmarking showing 3D U-Nets with transfer learning segment vocal tract airspace at Dice around 0.90.