ReviewDiagnostics (Basel, Switzerland)2022
Tongue Contour Tracking and Segmentation in Lingual Ultrasound for Speech Recognition: A Review.
Review in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Deep learning in ultrasound tongue imaging: a systematic review toward automated detection of speech sound disorders.Frontiers in artificial intelligence · 2025Pooled it
- Gastrointestinal endoscopic image classification using a hybrid modified inception network and a customized vision transformer with tree growth feature selection.Scientific reports · 2026Article
- Elucidating ultrasound imaging of /ɹ/ tongue shapes using full-wave numerical simulationsa).The Journal of the Acoustical Society of America · 2025Article
- Ultrasound Imaging of Artificial Tongues During Compression and Shearing of Food Gels on a Biomimetic Testing Bench.Journal of texture studies · 2025Article
- Ultrasound Tongue Imaging in Research and Practice with People with Cleft Palate ± Cleft Lip.The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association · 2025Review
- Quantifying articulatory variations across phonological environments: An atlas-based approach using dynamic magnetic resonance imaging.The Journal of the Acoustical Society of America · 2024Article
- Cleft Lip and Palate Classification Through Vision Transformers and Siamese Neural Networks.Journal of imaging · 2024Article
- Evaluating deep learning techniques for identifying tongue features in subthreshold depression: a prospective observational study.Frontiers in psychiatry · 2024Article
- Super-Resolved Dynamic 3D Reconstruction of the Vocal Tract during Natural Speech.Journal of imaging · 2023Article
- Vision transformer architecture and applications in digital health: a tutorial and survey.Visual computing for industry, biomedicine, and art · 2023Review
- Speech disorders in patients with Tongue squamous cell carcinoma: A longitudinal observational study based on a questionnaire and acoustic analysis.BMC oral health · 2023Observational
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lingual ultrasound imaging is essential in linguistic research and speech recognition. It has been used widely in different applications as visual feedback to enhance language learning for non-native speakers, study speech-related disorders and remediation, articulation research and analysis, swallowing study, tongue 3D modelling, and silent speech interface. This article provides a comparative analysis and review based on quantitative and qualitative criteria of the two main streams of tongue contour segmentation from ultrasound images. The first stream utilizes traditional computer vision and image processing algorithms for tongue segmentation. The second stream uses machine and deep learning algorithms for tongue segmentation. The results show that tongue tracking using machine learning-based techniques is superior to traditional techniques, considering the performance and algorithm generalization ability. Meanwhile, traditional techniques are helpful for implementing interactive image segmentation to extract valuable features during training and postprocessing. We recommend using a hybrid approach to combine machine learning and traditional techniques to implement a real-time tongue segmentation tool.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.