A Personalized Voice Restoration Device for Patients With Laryngectomy

Starting soon · Not applicable

Conditions studied: Dysphonia, Aphonia

In brief

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.

Key facts

Study ID

NCT05479643

Run by

Weill Medical College of Cornell University

People needed

100

Starts

2027-12-01

Expected to finish

2031-12-01

Last updated by the study team

2026-06-16

Who can join

Age: 18 and older, up to 110. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• 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).

You may not qualify if…

• Group A: Healthy Volunteers
• Voice impairment
• Group B: Subjects with Aphonia or Dysphonia
• Subjects whose face muscles are entirely paralyzed

Where it is running

• Weill Cornell Medicine — New York, New York, United States

Full record on ClinicalTrials.gov

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