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
This trial accepts healthy volunteersQualifiers
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
Parallel
Treatments tested in this trial
Surface Electromyography
DeviceSurface ElectroMyoGraphy (SEMG) is a non-invasive technique for measuring muscle electrical activity that occurs during muscle contraction and relaxation cycles. Electrodes will be attached with a AgCl gel to muscles used for articulation.
Treatment groups
Trial outcomes
Primary outcomes
Percentage of Words and Numbers Correctly Identified
Accuracy of sEMG signal will be determined by subjects reciting common phrases. Subjects will recite the "Rainbow Passage" 10 times. Subjects will be asked to count from 1-10 once. Subjects will recite the alphabet once.
Subject experience with voice restoration devices: Qualitative
Subject will be asked to complete a semi-structured interview about their experience with voice restoration devices. Categories of response include voice/communication history, experience with previous voice restoration devices, experience with our device, and suggestions for improvement.
Sponsors and contacts
Click on the lead sponsor to view all of their trials.
This trial is not recruiting at the moment. You can still explore other options: