Jaewon Kim, Soo-Geun Wang, Jin-Choon Lee, Yong-Il Cheon, Sung-Chan Shin, Dong-Won Lim, Dae-Ik Jang, Subrata Bhattacharjee, Yeong-Byn Hwang, Heung-Kook Choi, Ickhwan Kwon, Seon-Jong Kim, Soon-Bok Kwon
OBJECTIVES: This study aimed to establish an artificial intelligence (AI) system to classify vertical level differences between vocal folds during vocalization and to evaluate the accuracy of the classification. METHODS: We designed models with different depths between the right and left vocal folds using an excised canine larynx. Video files for the data set were obtained using a high-speed camera system and a color complementary metal oxide semiconductor camera with global shutter...
January 11, 2024: Journal of Voice