Status
Conditions
Treatments
About
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.
Full description
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.
Enrollment
Sex
Ages
Volunteers
Inclusion criteria
Group A: Healthy Volunteers
Group B: Subjects with Aphonia or Dysphonia
Exclusion criteria
- Group A: Healthy Volunteers
1. Voice impairment
Group B: Subjects with Aphonia or Dysphonia
1. Subjects whose face muscles are entirely paralyzed
Primary purpose
Allocation
Interventional model
Masking
100 participants in 2 patient groups, including a placebo group
Loading...
Central trial contact
Anaïs Rameau, MD
Data sourced from clinicaltrials.gov
Clinical trials
Research sites
Resources
Legal