PMID- 35161879 OWN - NLM STAT- MEDLINE DCOM- 20220216 LR - 20220219 IS - 1424-8220 (Electronic) IS - 1424-8220 (Linking) VI - 22 IP - 3 DP - 2022 Feb 2 TI - Beyond the Edge: Markerless Pose Estimation of Speech Articulators from Ultrasound and Camera Images Using DeepLabCut. LID - 10.3390/s22031133 [doi] LID - 1133 AB - 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, jaw, and hyoid and camera images of the lips were hand-labelled with keypoints, trained using DeepLabCut and evaluated on unseen speakers and systems. Tongue surface contours interpolated from estimated and hand-labelled keypoints produced an average mean sum of distances (MSD) of 0.93, s.d. 0.46 mm, compared with 0.96, s.d. 0.39 mm, for two human labellers, and 2.3, s.d. 1.5 mm, for the best performing edge detection algorithm. A pilot set of simultaneous electromagnetic articulography (EMA) and ultrasound recordings demonstrated partial correlation among three physical sensor positions and the corresponding estimated keypoints and requires further investigation. The accuracy of the estimating lip aperture from a camera video was high, with a mean MSD of 0.70, s.d. 0.56 mm compared with 0.57, s.d. 0.48 mm for two human labellers. DeepLabCut was found to be a fast, accurate and fully automatic method of providing unique kinematic data for tongue, hyoid, jaw, and lips. FAU - Wrench, Alan AU - Wrench A AD - Clinical Audiology, Speech and Language Research Centre, Queen Margaret University, Musselburgh EH21 6UU, UK. AD - Articulate Instruments Ltd., Musselburgh EH21 6UU, UK. FAU - Balch-Tomes, Jonathan AU - Balch-Tomes J AD - Articulate Instruments Ltd., Musselburgh EH21 6UU, UK. LA - eng PT - Journal Article DEP - 20220202 PL - Switzerland TA - Sensors (Basel) JT - Sensors (Basel, Switzerland) JID - 101204366 SB - IM MH - Biomechanical Phenomena MH - *Dental Articulators MH - Humans MH - Jaw/diagnostic imaging MH - Lip/diagnostic imaging MH - *Speech MH - Tongue/diagnostic imaging PMC - PMC8838804 OTO - NOTNLM OT - keypoints OT - landmarks OT - lip reading OT - multimodal speech OT - pose estimation OT - speech kinematics OT - ultrasound tongue imaging COIS- The authors declare no conflict of interest. EDAT- 2022/02/16 06:00 MHDA- 2022/02/17 06:00 PMCR- 2022/02/02 CRDT- 2022/02/15 01:12 PHST- 2021/11/29 00:00 [received] PHST- 2022/01/25 00:00 [revised] PHST- 2022/01/28 00:00 [accepted] PHST- 2022/02/15 01:12 [entrez] PHST- 2022/02/16 06:00 [pubmed] PHST- 2022/02/17 06:00 [medline] PHST- 2022/02/02 00:00 [pmc-release] AID - s22031133 [pii] AID - sensors-22-01133 [pii] AID - 10.3390/s22031133 [doi] PST - epublish SO - Sensors (Basel). 2022 Feb 2;22(3):1133. doi: 10.3390/s22031133.