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Deep Learning Application for Vocal Fold Disease Prediction Through Voice Recognition: Preliminary Development Study

Deep Learning Application for Vocal Fold Disease Prediction Through Voice Recognition: Preliminary Development Study

Voice samples were obtained from the Voice Center of Chen Hsin General Hospital and the Department of Otorhinolaryngology-Head and Neck Surgery of Fu Jen Catholic University Hospital. These samples included 189 normal voice samples and 552 samples of voice disorders, including vocal atrophy (n=224), unilateral vocal paralysis (n=50), organic vocal fold lesions (n=248), and adductor spasmodic dysphonia (n=30).

Hao-Chun Hu, Shyue-Yih Chang, Chuen-Heng Wang, Kai-Jun Li, Hsiao-Yun Cho, Yi-Ting Chen, Chang-Jung Lu, Tzu-Pei Tsai, Oscar Kuang-Sheng Lee

J Med Internet Res 2021;23(6):e25247