We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

MedImaging

Download Mobile App
Recent News Radiography MRI Ultrasound Nuclear Medicine General/Advanced Imaging Imaging IT Industry News

Tongue Ultrasound System Improves Speech Therapy

By MedImaging International staff writers
Posted on 26 Oct 2017
Print article
Image: Articulatory talking head animations from ultrasound images for “ata” (top) and “uku” (bottom) (Photo courtesy of Thomas Hueber / GIPSA-Lab).
Image: Articulatory talking head animations from ultrasound images for “ata” (top) and “uku” (bottom) (Photo courtesy of Thomas Hueber / GIPSA-Lab).
A new study describes how an innovative visual biofeedback system based on an ultrasound probe placed under the jaw can help treat speech impediments.

Developed by researchers at GIPSA-Lab (Saint-Martin-d'Hères, France) and INRIA Grenoble Rhône-Alpes (INRIA; Montbonnot-Saint-Martin, France), the system uses ultrasound images to display tongues movements in real time via an animated articulatory talking head, which serves as a virtual clone of the speaker. Besides the face and lips, the avatar shows the tongue, palate and teeth, which are usually hidden inside the vocal tract. Another version of the system (under development) automatically animates the articulatory talking head not by ultrasounds, but directly by the user’s voice.

The strength of this new system lies in an integrated cascaded gaussian mixture regression algorithm that can process articulatory movements required for targeted therapeutic applications. The algorithm exploits a probabilistic model based on a large articulatory database acquired from an “expert” speaker capable of pronouncing all of the sounds in one or more languages. The model is automatically adapted to the morphology of each new user, over the course of a short system calibration phase, during which the patient must pronounce a few phrases. The study was published in the October 2017 issue of Speech Communication.

“Automatic animation of an articulatory tongue model from ultrasound images of the vocal tract using visual biofeedback is the process of gaining awareness of physiological functions through the display of visual information,” concluded lead author Diandra Fabre, MSc, of GIPSA-Lab, and colleagues. “As speech is concerned, visual biofeedback usually consists in showing a speaker his/her own articulatory movements, which has proven useful in applications such as speech therapy or second language learning.”

Speech therapists specialize in the evaluation, diagnosis, and treatment of communication disorders, cognitive-communication disorders, voice disorders, and swallowing disorders, and play an important role in the diagnosis and treatment of autism spectrum disorder.

Related Links:
GIPSA-Lab
INRIA Grenoble Rhône-Alpes

Gold Member
Electrode Solution and Skin Prep
Signaspray
Gold Member
Ultrasound System
FUTUS LE
Gold Member
CR Reader
FCR PRIMA II
Radiography System
ANTARIX II PLUS

Print article
Radcal

Channels

MRI

view channel
Image: PET/MRI can accurately classify prostate cancer patients (Photo courtesy of 123RF)

PET/MRI Improves Diagnostic Accuracy for Prostate Cancer Patients

The Prostate Imaging Reporting and Data System (PI-RADS) is a five-point scale to assess potential prostate cancer in MR images. PI-RADS category 3 which offers an unclear suggestion of clinically significant... Read more

Nuclear Medicine

view channel
Image: The new SPECT/CT technique demonstrated impressive biomarker identification (Journal of Nuclear Medicine: doi.org/10.2967/jnumed.123.267189)

New SPECT/CT Technique Could Change Imaging Practices and Increase Patient Access

The development of lead-212 (212Pb)-PSMA–based targeted alpha therapy (TAT) is garnering significant interest in treating patients with metastatic castration-resistant prostate cancer. The imaging of 212Pb,... Read more

General/Advanced Imaging

view channel
Image: The Tyche machine-learning model could help capture crucial information. (Photo courtesy of 123RF)

New AI Method Captures Uncertainty in Medical Images

In the field of biomedicine, segmentation is the process of annotating pixels from an important structure in medical images, such as organs or cells. Artificial Intelligence (AI) models are utilized to... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more