A Pilot Study for a Novel and Personalized Voice Restoration Device for Patients With Laryngectomy
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.
⁃ Group A: Healthy Volunteers
• Adult subjects, 18 or older
• Without any voice impairments
⁃ Group B: Subjects with Aphonia or Dysphonia
• 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).