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Tobias Schraut1, Anne Schützenberger1, Tomás Arias-Vergara1

  • 1Division of Phoniatrics and Pediatric Audiology at the Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany.

概括

本研究引入了一种客观的机器学习方法,用于评估声的严重程度,使用持续元音发音的声学特征,为主观语音质量评估提供更可靠的替代方案.