Papers by Mushaffa Rasyid Ridha

1 papers
Refining rtMRI Landmark-Based Vocal Tract Contour Labels with FCN-Based Smoothing and Point-to-Curve Projection (2024.lrec-main)

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Challenge: Existing methods for labeling articulator contours are based on a ground truth label, but there are occasional errors.
Approach: They propose to refine landmark-based vocal-tract contour labels using outlier removal, full convolutional network and a landmark point-to-edge curve projection technique.
Outcome: The proposed labels outperform existing labels and their accuracy through subjective assessments of several contour areas.

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