AIMC Topic: Voice Quality

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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...
Prospective Studies Female Aged Adult Humans Hyaluronic Acid Injections Vocal Cord Paralysis Laryngoplasty Voice Quality Male Middle Aged Ultrasonography Treatment Outcome
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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.
Humans Prospective Studies Speech Acoustics Lung Speech Production Measurement Pulmonary Disease, Chronic Obstructive Severity of Illness Index Voice Quality Support Vector Machine Prognosis Speech Predictive Value of Tests Male Female Functional Status Time Factors Middle Aged Reproducibility of Results Respiratory Function Tests Disease Progression Aged
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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...
Humans Biomechanical Phenomena Voice Quality Glottis Deep Learning Image Interpretation, Computer-Assisted Vocal Cords Phonation
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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...
Voice Quality Singing Humans Neural Networks, Computer Voice Music
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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.
Female Aged Young Adult Adult Humans Male Artificial Intelligence Middle Aged Voice Quality Dysphonia
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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...
Phonation Voice Quality Speech Acoustics Vocal Cords Voice Voice Disorders Humans Machine Learning Female Aged Young Adult Adult Middle Aged Case-Control Studies
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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...
Artificial Intelligence Aged Adult Male Middle Aged Case-Control Studies Squamous Cell Carcinoma of Head and Neck Support Vector Machine Humans Neural Networks, Computer Laryngeal Neoplasms Laryngeal Diseases Voice Quality Vocal Cord Paralysis Stroboscopy Vocal Cords Voice Disorders Health
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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.
Humans Voice Disorders Female Neural Networks, Computer Voice Quality Male Retrospective Studies Deep Learning Noise
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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...
Humans Artificial Intelligence Machine Learning Algorithms Southeast Asian People Databases, Factual Databases as Topic Voice Quality Dysphonia
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Recognition of the Effect of Vocal Exercises by Fuzzy Triangular Naive Bayes, a Machine Learning Classifier: A Preliminary Analysis.

Journal of voice : official journal of the Voice Foundation Nov 11, 2022
OBJECTIVES: Machine learning (ML) methods allow the development of expert systems for pattern recognition and predictive analysis of intervention outcomes. It has been used in Voice Sciences, mainly to discriminate between healthy and dysphonic voice...
Treatment Outcome Speech Production Measurement Voice Quality Fuzzy Logic Signal Processing, Computer-Assisted Dysphonia Humans Young Adult Acoustics Machine Learning Speech Perception Adult Female Predictive Value of Tests Speech Acoustics Middle Aged Reproducibility of Results Voice Training Bayes Theorem Case-Control Studies
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