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Can artificial inteligence accurately clone dysphonic voices? A perceptual and intelligibility assessment

Year: 2025

Type: conference-abstract

Source: The Journal of the Acoustical Society of America

DOI: 10.1121/10.0040365

Authors: Pasquale Bottalico, Charles J. Nudelman, Keiko Ishikawa, Virginia Tardini, Daniel Fogerty

Institutions: University of Illinois Urbana-Champaign, University of Kentucky, University of Bologna

Language: English

Topic: Voice and Speech Disorders

Subfield: Physiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7160889028

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