The investigators will conduct a pilot experiment for a novel and personalized method for voice restoration using machine learning applied to surface EMG (sEMG) signal from articulatory muscles of the face and the neck allowing recognition of silent speech. The investigators predict that the use novel personalized method for voice restoration will be feasible and successful for patients.
Age range
18 Years – 110 Years
Sex
ALL
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Percentage of Words and Numbers Correctly Identified
Timeframe: "During Procedure/use of Surface ElectroMyoGraphy"
Subject experience with voice restoration devices: Qualitative
Timeframe: 10 minutes after the time of intervention