Convolutional Neural Network Classifies Pathological Voice Change in Laryngeal Cancer with High Accuracy

Voice changes may be the earliest signs in laryngeal cancer. We investigated whether automated voice signal analysis can be used to distinguish patients with laryngeal cancer from healthy subjects. We extracted features using the software package for speech analysis in phonetics (PRAAT) and calculat...

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Detalles Bibliográficos
Autores principales: Kim, HyunBum, Jeon, Juhyeong, Han, Yeon Jae, Joo, YoungHoon, Lee, Jonghwan, Lee, Seungchul, Im, Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7692693/
https://www.ncbi.nlm.nih.gov/pubmed/33113785
http://dx.doi.org/10.3390/jcm9113415

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7692693/
https://www.ncbi.nlm.nih.gov/pubmed/33113785
http://dx.doi.org/10.3390/jcm9113415

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