MMHFNet: Multi-modal and multi-layer hybrid fusion network for voice pathology detection
HMA Mohammed, AN Omeroglu, EA Oral - Expert Systems with …, 2023 - Elsevier
Automatic voice pathology detection using non-invasive techniques that utilize patients'
speech and electroglottograph (EGG) signals play a vital role in diagnosis and early medical …
speech and electroglottograph (EGG) signals play a vital role in diagnosis and early medical …
[HTML][HTML] Voice disorder detection using machine learning algorithms: An application in speech and language pathology
The healthcare industry is currently seeing a significant rise in the use of mobile devices.
These devices not only provide ways for communication and sharing of multimedia …
These devices not only provide ways for communication and sharing of multimedia …
Detection of Parkinson's Disease using Machine Learning Algorithms from Speech Signals
SA Ahammad, A Sankaran… - … Conference on Signal …, 2024 - ieeexplore.ieee.org
Parkinson's disease is a long-term neurological con-dition that impacts 60% of people
above 50 years of age, it results in a decrease in voice in 90% of individuals and ranks as …
above 50 years of age, it results in a decrease in voice in 90% of individuals and ranks as …
A Review: Voice Pathology Classification Using Machine Learning.
ZN Khan, N Balani, UP Thakur - Journal of Advanced …, 2023 - search.ebscohost.com
Voice pathology detection requires the presence of a specialist doctor and time to treat each
patient, but it is not always possible to have a doctor who can treat all patients at once and at …
patient, but it is not always possible to have a doctor who can treat all patients at once and at …