Each voice sample was rated by three experts according to the GRBAS scale and the median values were used as the correct answer label. We designed an end-to-end 1D-CNN model with a raw voice waveform input having a frame width of 9,600 samples. The models were trained with our original...
To date, there are 300 disorders associated with voice, but until now there has never been a published reference manual that classifies these disorders. Borrowing from the successful organization schema of the American Psychiatric Association's Diagnostic Statistical Manual (DSM), the Classification Manu...
Voice disorders are very common in the global population. Many researchers have conducted research on the identification and classification of voice disorders based on machine learning. As a data-driven algorithm, machine learning requires a large number of samples for training. However, due to the ...
Development of a modified diagnostic classification system for voice disorders with inter- rater reliability. in Logopedics Phoniatrics Vocology. Ireland, 2007;32.Baker, J., Ben-Tovim, I, D., Butcher, A., Esterman, A., McLaughlin, K. (2007) Development of a modified diagnostic ...
Classification Manual for Voice Disorders-I 2025 pdf epub mobi 电子书 图书描述 To date, there are 300 disorders associated with voice, but until now there has never been a published reference manual that classifies these disorders. Borrowing from the successful organization schema of the American Ps...
Furthermore, a relevant influence of phonation frequency on classification accuracy was substantiated by the clinical HS data. The PVG feature extraction and classification approach can be assessed as being promising with regard to the diagnosis of functional voice disorders. The obtained results indicate...
Terminology and the diagnostic classification of voice disorders remain problematic, and there are many terminologies used in relation to the “nonorganic” or “functional” voice disorders. Some of these diagnostic terms have a strong behavioral emphasis, suggesting that dysfunctional vocal behaviors and...
Tirronen, S., Kadiri, S.R., Alku, P.: Hierarchical multi-class classification of voice disorders using self-supervised models and glottal features. IEEE Open J. Signal Process. 4, 80–88 (2023). https://doi.org/10.1109/OJSP.2023.3242862 Article Google Scholar Dhall, A., Makarova, A....
Automatic voice pathology detection and classification systems effectively contribute to the assessment of voice disorders, which helps clinicians to detect the existence of any voice pathologies and the type of pathology from which patients suffer in the early stages. This work concentrates on developing...
We have shown that this method can be a good tool for studies of the retirement threshold [3,4]. In the present work we also show some unpublished results related to the quality of life of the patients with voice disorders in inflammatory, neoplastic and neurological diseases of the larynx....