About this trial
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.
Eligibility criteria
Qualifiers
Adult subjects, 18 or older
Without any voice impairments
Adult subjects, 18 or older
Documentation of severe dysphonia and/or aphonia, or a GRBAS score > 0 (GRBAS is a scale that can be used to assess voice quality of subjects who do not have a recorded history of dysphonia or aphonia. The GRBAS scale evaluates for grade, roughness, breathiness, asthenia, and strain).
Disqualifiers
None
Trial design
Treatments tested in this trial
- Surface Electromyography