AIMC Topic: Voice Quality
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Voice fatigue subtyping through individual modeling of vocal demand reponses.
Scientific reports
Jul 16, 2025
Recognizing individual variability is essential for developing targeted, personalized medical interventions. Vocal fatigue is a prevalent symptom and complaint among occupational voice users, but its identification has yielded mixed results. Vocal fa...
Application of an AI-Based Model for Non-Invasive Sonographic Assessment for Injection Laryngoplasty.
Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
Mar 21, 2025
OBJECTIVE: Hyaluronic acid (HA) can be degraded over time. However, the persistence of the effects after injection laryngoplasty (IL) for unilateral vocal fold paralysis (UVFP) has been observed. The relation between HA residue and clinical voice out...
Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and After Exacerbation.
International journal of chronic obstructive pulmonary disease
Jan 20, 2025
BACKGROUND: Chronic obstructive pulmonary disease (COPD) affects breathing, speech production, and coughing. We evaluated a machine learning analysis of speech for classifying the disease severity of COPD.
Female
Reproducibility of Results
Aged
Pulmonary Disease, Chronic Obstructive
Humans
Prospective Studies
Prognosis
Severity of Illness Index
Speech
Time Factors
Support Vector Machine
Male
Middle Aged
Disease Progression
Lung
Speech Acoustics
Speech Production Measurement
Predictive Value of Tests
Voice Quality
Functional Status
Respiratory Function Tests
Have We Solved Glottis Segmentation? Review and Commentary.
Journal of voice : official journal of the Voice Foundation
Dec 7, 2024
Quantification of voice physiology has been a key research goal. Segmenting the glottal area to describe the vocal fold motion has seen increased attention in the last two decades. However, researchers struggled to fully automatize the segmentation t...
HiddenSinger: High-quality singing voice synthesis via neural audio codec and latent diffusion models.
Neural networks : the official journal of the International Neural Network Society
Sep 27, 2024
Recently, denoising diffusion models have demonstrated remarkable performance among generative models in various domains. However, in the speech domain, there are limitations in complexity and controllability to apply diffusion models for time-varyin...
Investigating the role of artificial intelligence in predicting perceived dysphonia level.
European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
Aug 22, 2024
PURPOSE: This study aims to investigate the role of one of these models in the field of voice pathology and compare its performance in distinguishing the perceived dysphonia level.
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...
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 accuracy of an Online Sequential Extreme Learning Machine in detecting voice pathology using the Malaysian Voice Pathology Database.
Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale
Sep 20, 2023
BACKGROUND: A multidimensional voice quality assessment is recommended for all patients with dysphonia, which requires a patient visit to the otolaryngology clinic. The aim of this study was to determine the accuracy of an online artificial intellige...
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