Voice is an essential component of human communication, serving as a fundamental medium for expressing thoughts, emotions, and ideas. Disruptions in vocal fold vibratory …
CH Hung, SS Wang, CT Wang, SH Fang - Sensors, 2022 - mdpi.com
Deep learning techniques such as convolutional neural networks (CNN) have been successfully applied to identify pathological voices. However, the major disadvantage of …
I Miliaresi, K Poutos, A Pikrakis - 2020 28th European Signal …, 2021 - ieeexplore.ieee.org
In this paper, we present a study on the efficiency of neural networks for the hard problem of automatically classifying voice disorders. To this end, convolutional architectures combined …
SS Wang, CT Wang, CC Lai, Y Tsao… - IEEE open journal of …, 2022 - ieeexplore.ieee.org
Goal: Numerous studies had successfully differentiated normal and abnormal voice samples. Nevertheless, further classification had rarely been attempted. This study proposes …
The shortage and availability limitation of RT-PCR test kits and is a major concern regarding the COVID-19 pandemic. The authorities' intention is to establish steps to control the …
Machine learning has the potential to help optimize, assess, predict, and rehabilitate voice and swallowing function in head and neck cancer patients as well as aid in cancer …
M Altayeb, A Al-Ghraibah - International Journal of Electrical and …, 2022 - academia.edu
Determining and classifying pathological human sounds are still an interesting area of research in the field of speech processing. This paper explores different methods of voice …
Recently, huge concerns have been raised in diagnosing chest diseases, especially after the COVID-19 pandemic. Regular diagnosis processes of chest diseases sometimes fail to …
K Wołk, A Wołk - IEEE Access, 2019 - ieeexplore.ieee.org
In this study, the convolutional neural network (CNN) and multipart interactive training were used to create a state-of-the-art classifier for the early detection of cardiac pathologies. The …