A novel hybrid model integrating MFCC and acoustic parameters for voice disorder detection

V Verma, A Benjwal, A Chhabra, SK Singh, S Kumar… - Scientific Reports, 2023 - nature.com
Voice is an essential component of human communication, serving as a fundamental
medium for expressing thoughts, emotions, and ideas. Disruptions in vocal fold vibratory …

Exploring the use of artificial intelligence techniques to detect the presence of coronavirus covid-19 through speech and voice analysis

L Verde, G De Pietro, A Ghoneim, M Alrashoud… - Ieee …, 2021 - ieeexplore.ieee.org
The Covid-19 pandemic represents one of the greatest global health emergencies of the last
few decades with indelible consequences for all societies throughout the world. The cost in …

Voice disorder classification using convolutional neural network based on deep transfer learning

X Peng, H Xu, J Liu, J Wang, C He - Scientific Reports, 2023 - nature.com
Voice disorders are very common in the global population. Many researchers have
conducted research on the identification and classification of voice disorders based on …

Leveraging artificial intelligence to improve voice disorder identification through the use of a reliable mobile app

L Verde, G De Pietro, M Alrashoud, A Ghoneim… - IEEE …, 2019 - ieeexplore.ieee.org
The evolution of the Internet of Things, cloud computing and wireless communication has
contributed to an advance in the interconnectivity, efficiency and data accessibility in smart …

[HTML][HTML] Smartphone-based Voice Wellness Index application for dysphonia screening and assessment: Development and reliability

V Uloza, N Ulozaitė-Stanienė, T Petrauskas, K Pribuišis… - Journal of Voice, 2023 - Elsevier
Objective This study aimed to develop a Voice Wellness Index (VWI) application combining
the acoustic voice quality index (AVQI) and glottal function index (GFI) data and to evaluate …

Voice signals database of ALS patients with different dysarthria severity and healthy controls

R Dubbioso, M Spisto, L Verde, VV Iuzzolino… - Scientific Data, 2024 - nature.com
This paper describes a new publicly-available database of VOiCe signals acquired in
Amyotrophic Lateral Sclerosis (ALS) patients (VOC-ALS) and healthy controls performing …

Voice disorder recognition using machine learning: a scoping review protocol

R Gupta, DR Gunjawate, DD Nguyen, C Jin, C Madill - BMJ open, 2024 - bmjopen.bmj.com
Introduction Over the past decade, several machine learning (ML) algorithms have been
investigated to assess their efficacy in detecting voice disorders. Literature indicates that ML …

[PDF][PDF] Meta-analysis of voice disorders databases and applied machine learning techniques

SA Syed, M Rashid, S Hussain - Math Biosci Eng, 2020 - researchgate.net
Background and Objective: Voice disorders are pathological conditions that directly affect
voice production. Computer based diagnosis may play a major role in the early detection …

An iOS-based VoiceScreen application: feasibility for use in clinical settings—a pilot study

V Uloza, N Ulozaite-Staniene, T Petrauskas - European Archives of Oto …, 2023 - Springer
Objectives To elaborate the application suitable for smartphones for estimation of Acoustic
Voice Quality Index (AVQI) and evaluate its usability in the clinical setting. Methods An …

[HTML][HTML] Voice disorder detection using machine learning algorithms: An application in speech and language pathology

MU Rehman, A Shafique, SS Jamal, Y Gheraibia… - … Applications of Artificial …, 2024 - Elsevier
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 …