Utilizing CNN architectures for non-invasive diagnosis of speech disorders – further experiments and insights

This research investigated the application of deep neural networks for diagnosing diseases that affect the voice and speech mechanisms through the non-invasive analysis of vowel sound recordings. Using the Saarbruecken Voice Database, the voice recordings were converted to spectrograms to train the...

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Bibliographic Details
Main Authors: Filip Ratajczak, Mikołaj Najda, Kamil Szyc
Format: Article
Language:English
Published: Polish Academy of Sciences 2025-07-01
Series:International Journal of Electronics and Telecommunications
Subjects:
Online Access:https://journals.pan.pl/Content/135742/14_5010_Ratajczak_L_sk.pdf
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