Not Yet RecruitingNot Applicable

A Personalized Voice Restoration Device for Patients With Laryngectomy

United States100 participantsStarted 2027-12-01

Plain-language summary

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.

Who can participate

Age range18 Years – 110 Years

SexALL

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion criteria

✓. 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).

What they're measuring

Percentage of Words and Numbers Correctly Identified

Timeframe: "During Procedure/use of Surface ElectroMyoGraphy"

Subject experience with voice restoration devices: Qualitative

Timeframe: 10 minutes after the time of intervention

Trial details

NCT IDNCT05479643

SponsorWeill Medical College of Cornell University

Sponsor typeOTHER

Study typeINTERVENTIONAL

Primary completion2029-12-01

Contact for this trial

Anaïs Rameau, MD

646-962-7464 anr2783@med.cornell.edu

View on ClinicalTrials.gov More Dysphonia trials