Automatic feature extraction from images of speech articulators is currently achieved by detecting edges. Here. we investigate the use of pose estimation deep neural nets with transfer learning to perform markerless estimation of speech articulator keypoints using only a few hundred hand-labelled images as training input. Midsagittal ultrasound images of the tongue. https://www.bekindtopets.com/hot-find-Purple-No-1-by-Twist-E-Liquids-120ml-save-more/