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 …
Voice disorder recognition using machine learning: a scoping review protocol
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 …
investigated to assess their efficacy in detecting voice disorders. Literature indicates that ML …
A Scoping Review of Artificial Intelligence Detection of Voice Pathology: Challenges and Opportunities
GS Liu, N Jovanovic, CK Sung… - … –Head and Neck …, 2024 - Wiley Online Library
Objective Survey the current literature on artificial intelligence (AI) applications for detecting
and classifying vocal pathology using voice recordings, and identify challenges and …
and classifying vocal pathology using voice recordings, and identify challenges and …
[HTML][HTML] A comparison of data augmentation methods in voice pathology detection
To distinguish pathological voices from healthy voices, automatic voice pathology detection
systems can be built using machine learning (ML) and deep learning (DL) techniques. To …
systems can be built using machine learning (ML) and deep learning (DL) techniques. To …
Recent innovations in voice assessment expected to impact the clinical management of voice disorders
JH Van Stan, DD Mehta, RE Hillman - … of the ASHA Special Interest Groups, 2017 - ASHA
This article provides a summary of some recent innovations in voice assessment expected to
have an impact in the next 5–10 years on how patients with voice disorders are clinically …
have an impact in the next 5–10 years on how patients with voice disorders are clinically …
Developing an artificial intelligence tool to predict vocal cord pathology in primary care settings
EC Compton, T Cruz, M Andreassen… - The …, 2023 - Wiley Online Library
Objectives Diagnostic tools for voice disorders are lacking for primary care physicians.
Artificial intelligence (AI) tools may add to the armamentarium for physicians, decreasing the …
Artificial intelligence (AI) tools may add to the armamentarium for physicians, decreasing the …
End‐to‐end deep learning classification of vocal pathology using stacked vowels
Objectives Advances in artificial intelligence (AI) technology have increased the feasibility of
classifying voice disorders using voice recordings as a screening tool. This work develops …
classifying voice disorders using voice recordings as a screening tool. This work develops …
Towards robust voice pathology detection: Investigation of supervised deep learning, gradient boosting, and anomaly detection approaches across four databases
Automatic objective non-invasive detection of pathological voice based on computerized
analysis of acoustic signals can play an important role in early diagnosis, progression …
analysis of acoustic signals can play an important role in early diagnosis, progression …
[PDF][PDF] On feature extraction for voice pathology detection from speech signals
Reliable, automatic and objective detector of pathological voice disorders from speech
signals is a long sought-for tool, by voice clinicians as well as by general practitioners. Such …
signals is a long sought-for tool, by voice clinicians as well as by general practitioners. Such …
Detection of pathological voice using cepstrum vectors: A deep learning approach
Objectives Computerized detection of voice disorders has attracted considerable academic
and clinical interest in the hope of providing an effective screening method for voice …
and clinical interest in the hope of providing an effective screening method for voice …