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 …
Evaluation of Feature Learning Methods for Voice Disorder Detection
Voice disorder is a frequently encountered health issue. Many people, however, either
cannot afford to visit a professional doctor or neglect to take good care of their voice. In order …
cannot afford to visit a professional doctor or neglect to take good care of their voice. In order …
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 …
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 …
Quantitative analysis of automatic voice disorder detection studies for hybrid feature and classifier selection
JB Lee, HG Lee - Biomedical Signal Processing and Control, 2024 - Elsevier
Owing to the development of machine learning, particularly deep learning, researchers have
focused on automatic voice-disorder detection. However, voice-disorder datasets vary …
focused on automatic voice-disorder detection. However, voice-disorder datasets vary …
[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 …
[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 …
Identification of Voice disorders: a comparative study of machine learning algorithms
S Coelho, HL Shashirekha - International Conference on Speech and …, 2023 - Springer
A voice disorder is a state that influences the quality, loudness, or pitch of a person's voice.
Classifying voice disorders automatically by non-invasive methods can help doctors to …
Classifying voice disorders automatically by non-invasive methods can help doctors to …
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 …
conducted research on the identification and classification of voice disorders based on …
Voice pathology identification system using a deep learning approach based on unique feature selection sets
NQ Abdulmajeed, B Al‐Khateeb… - Expert …, 2023 - Wiley Online Library
Voice pathology diagnosis requires extracting significant features from voice signals, and
classical machine learning models can overfit to the training data, which can cause difficult …
classical machine learning models can overfit to the training data, which can cause difficult …