[HTML][HTML] The effectiveness of supervised machine learning in screening and diagnosing voice disorders: systematic review and meta-analysis
Background When investigating voice disorders a series of processes are used when
including voice screening and diagnosis. Both methods have limited standardized tests …
including voice screening and diagnosis. Both methods have limited standardized tests …
[HTML][HTML] Applied machine learning techniques to diagnose voice-affecting conditions and disorders: Systematic literature review
Background Normal voice production depends on the synchronized cooperation of multiple
physiological systems, which makes the voice sensitive to changes. Any systematic …
physiological systems, which makes the voice sensitive to changes. Any systematic …
Development of a machine-learning based voice disorder screening tool
J Reid, P Parmar, T Lund, DK Aalto… - American Journal of …, 2022 - Elsevier
Objective Early recognition and referral are crucial for voice disorder management. Limited
availability of subspecialists, poor primary care awareness, and the need for specialized …
availability of subspecialists, poor primary care awareness, and the need for specialized …
[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 …
voice production. Computer based diagnosis may play a major role in the early detection …
The Use of Deep Learning Software in the Detection of Voice Disorders: A Systematic Review
J Barlow, Z Sragi, G Rivera‐Rivera… - … –Head and Neck …, 2024 - Wiley Online Library
Objective To summarize the use of deep learning in the detection of voice disorders using
acoustic and laryngoscopic input, compare specific neural networks in terms of accuracy …
acoustic and laryngoscopic input, compare specific neural networks in terms of accuracy …
Voice disorder detection via an m‐health system: design and results of a clinical study to evaluate Vox4Health
U Cesari, G De Pietro, E Marciano… - BioMed research …, 2018 - Wiley Online Library
Objectives. The current study presents a clinical evaluation of Vox4Health, an m‐health
system able to estimate the possible presence of a voice disorder by calculating and …
system able to estimate the possible presence of a voice disorder by calculating and …
[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 …
A survey on machine learning approaches for automatic detection of voice disorders
The human voice production system is an intricate biological device capable of modulating
pitch and loudness. Inherent internal and/or external factors often damage the vocal folds …
pitch and loudness. Inherent internal and/or external factors often damage the vocal folds …
[HTML][HTML] A review on voice pathology: Taxonomy, diagnosis, medical procedures and detection techniques, open challenges, limitations, and recommendations for …
NQ Abdulmajeed, B Al-Khateeb… - Journal of Intelligent …, 2022 - degruyter.com
Speech is a primary means of human communication and one of the most basic features of
human conduct. Voice is an important part of its subsystems. A speech disorder is a …
human conduct. Voice is an important part of its subsystems. A speech disorder is a …
[HTML][HTML] A systematic review on machine learning techniques for early detection of mental, neurological and laryngeal disorders using patient's speech
There is a substantial unmet need to diagnose speech-related disorders effectively. Machine
learning (ML), as an area of artificial intelligence (AI), enables researchers, physicians, and …
learning (ML), as an area of artificial intelligence (AI), enables researchers, physicians, and …