This is a prospective pilot study evaluating the feasibility of a personalized voice restoration device and patients' experience with it. Study participation will include a one-time visit where subjects will read passages and phrases. Acoustic and signal data will be captured. Machine learning will be applied to the data to classify words. Subjects will also participate in a qualitative interview about their experience with voice restoration devices.
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.