AIMC Topic: Voice Disorders
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AI Detection of Glottic Neoplasm Using Voice Signals, Demographics, and Structured Medical Records.
The Laryngoscope
Jun 12, 2024
OBJECTIVE: This study investigated whether artificial intelligence (AI) models combining voice signals, demographics, and structured medical records can detect glottic neoplasm from benign voice disorders.
Consistency of the Signature of Phonotraumatic Vocal Hyperfunction Across Different Ambulatory Voice Measures.
Journal of speech, language, and hearing research : JSLHR
Jun 11, 2024
PURPOSE: Although different factors and voice measures have been associated with phonotraumatic vocal hyperfunction (PVH), it is unclear what percentage of individuals with PVH exhibit such differences during their daily lives. This study used a mach...
A Scoping Review of Artificial Intelligence Detection of Voice Pathology: Challenges and Opportunities.
Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
May 13, 2024
OBJECTIVE: Survey the current literature on artificial intelligence (AI) applications for detecting and classifying vocal pathology using voice recordings, and identify challenges and opportunities for advancing the field forward.
Classification of laryngeal diseases including laryngeal cancer, benign mucosal disease, and vocal cord paralysis by artificial intelligence using voice analysis.
Scientific reports
Apr 23, 2024
Voice change is often the first sign of laryngeal cancer, leading to diagnosis through hospital laryngoscopy. Screening for laryngeal cancer solely based on voice could enhance early detection. However, identifying voice indicators specific to laryng...
The Effect of Noise on Deep Learning for Classification of Pathological Voice.
The Laryngoscope
Jan 27, 2024
OBJECTIVE: This study aimed to evaluate the significance of background noise in machine learning models assessing the GRBAS scale for voice disorders.
The Use of Deep Learning Software in the Detection of Voice Disorders: A Systematic Review.
Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
Jan 3, 2024
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, and assess their effectiveness compared to expert clinical visual exam...
Current Practices in Voice Data Collection and Limitations to Voice AI Research: A National Survey.
The Laryngoscope
Dec 13, 2023
INTRODUCTION: Accuracy and validity of voice AI algorithms rely on substantial quality voice data. Although commensurable amounts of voice data are captured daily in voice centers across North America, there is no standardized protocol for acoustic d...
Unraveling the complexities of pathological voice through saliency analysis.
Computers in biology and medicine
Oct 14, 2023
The human voice is an essential communication tool, but various disorders and habits can disrupt it. Diagnosis of pathological and abnormal voices is very important. Conventional diagnosis of these voice pathologies can be invasive and costly. Voice ...
Pathological Voice Detection Based on Phase Reconstitution and Convolutional Neural Network.
Journal of voice : official journal of the Voice Foundation
Oct 21, 2022
The nonlinear dynamic features can effectively describe the acoustic characteristics of normal and pathological voice. In this paper, the phase space reconstruction and convolution neural network are used to classify the normal and pathological voice...
Voice Disorders
Speech Production Measurement
Case-Control Studies
Voice Quality
Nonlinear Dynamics
Female
Convolutional Neural Networks
Humans
Speech Acoustics
Reproducibility of Results
Neural Networks, Computer
Time Factors
Vocal Cord Paralysis
Male
Databases, Factual
Predictive Value of Tests
Signal Processing, Computer-Assisted
Acoustics
Sound Spectrography
The Effectiveness of Supervised Machine Learning in Screening and Diagnosing Voice Disorders: Systematic Review and Meta-analysis.
Journal of medical Internet research
Oct 14, 2022
BACKGROUND: When investigating voice disorders a series of processes are used when including voice screening and diagnosis. Both methods have limited standardized tests, which are affected by the clinician's experience and subjective judgment. Machin...
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