AIMC Topic: Dysphonia

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Machine learning models for predicting dysphonia following anterior cervical discectomy and fusion: a Swedish Registry Study.

The spine journal : official journal of the North American Spine Society Nov 4, 2024
BACKGROUND: Dysphonia is one of the more common complications following anterior cervical discectomy and fusion (ACDF). ACDF is the gold standard for treating degenerative cervical spine disorders, and identifying high-risk patients is therefore cruc...
Adult Male Middle Aged Postoperative Complications Registries Retrospective Studies Female Sweden Aged Cervical Vertebrae Spinal Fusion Diskectomy Dysphonia Humans Machine Learning
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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.
Aged Humans Young Adult Artificial Intelligence Middle Aged Female Adult Voice Quality Male Dysphonia
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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...
Predictive Value of Tests Bayes Theorem Signal Processing, Computer-Assisted Acoustics Speech Perception Middle Aged Case-Control Studies Treatment Outcome Fuzzy Logic Voice Training Speech Acoustics Speech Production Measurement Voice Quality Dysphonia Humans Machine Learning Female Reproducibility of Results Young Adult Adult
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Deep-Learning-Based Representation of Vocal Fold Dynamics in Adductor Spasmodic Dysphonia during Connected Speech in High-Speed Videoendoscopy.

Journal of voice : official journal of the Voice Foundation Sep 23, 2022
OBJECTIVE: Adductor spasmodic dysphonia (AdSD) is a neurogenic dystonia, which causes spasms of the laryngeal muscles. This disorder mainly affects production of connected speech. To understand how AdSD affects vocal fold (VF) movements and hence, th...
Predictive Value of Tests Voice Quality Video Recording Dysphonia Image Interpretation, Computer-Assisted Speech Acoustics Vocal Cords Laryngoscopy Humans Vibration Biomechanical Phenomena Female Speech Production Measurement Male Reproducibility of Results Phonation Middle Aged Adult Case-Control Studies Deep Learning
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Deep learning in automatic detection of dysphonia: Comparing acoustic features and developing a generalizable framework.

International journal of language & communication disorders Sep 18, 2022
BACKGROUND: Auditory-perceptual assessment of voice is a subjective procedure. Artificial intelligence with deep learning (DL) may improve the consistency and accessibility of this task. It is unclear how a DL model performs on different acoustic fea...
Speech Acoustics Speech Production Measurement Dysphonia Retrospective Studies Reproducibility of Results Deep Learning Acoustics Humans Artificial Intelligence
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The Effect of the MFCC Frame Length in Automatic Voice Pathology Detection.

Journal of voice : official journal of the Voice Foundation Apr 27, 2022
Automatic voice pathology detection is a research topic, which has gained increasing interest recently. Although methods based on deep learning are becoming popular, the classical pipeline systems based on a two-stage architecture consisting of a fea...
Signal Processing, Computer-Assisted Acoustics Sound Spectrography Automation Speech Acoustics Voice Disorders Speech Production Measurement Voice Quality Dysphonia Humans Databases, Factual Reproducibility of Results Support Vector Machine Predictive Value of Tests
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Voice analysis in adductor spasmodic dysphonia: Objective diagnosis and response to botulinum toxin.

Parkinsonism & related disorders Mar 19, 2020
INTRODUCTION: Adductor-type spasmodic dysphonia is a task-specific focal dystonia characterized by involuntary laryngeal muscle spasms. Due to the lack of quantitative instrumental tools, voice assessment in patients with adductor-type spasmodic dysp...
Botulinum Toxins, Type A Humans Neuromuscular Agents Machine Learning Dysphonia Female Middle Aged Aged Severity of Illness Index Aged, 80 and over Treatment Outcome Adult Speech Acoustics Male Fourier Analysis
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Detection of Pathological Voice Using Cepstrum Vectors: A Deep Learning Approach.

Journal of voice : official journal of the Voice Foundation Mar 19, 2018
OBJECTIVES: Computerized detection of voice disorders has attracted considerable academic and clinical interest in the hope of providing an effective screening method for voice diseases before endoscopic confirmation. This study proposes a deep-learn...
Voice Quality Male Pilot Projects Sound Spectrography Dysphonia Aged Support Vector Machine Humans Middle Aged Speech Acoustics Predictive Value of Tests Aged, 80 and over Diagnosis, Computer-Assisted Retrospective Studies Vocal Cords Signal Processing, Computer-Assisted Young Adult Deep Learning Female Acoustics Speech Production Measurement Adult Reproducibility of Results
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Differentiability of voice disorders through explainable AI.

Scientific reports May 25, 2025
The voice can be affected by various types of pathology. The phoniatric medical examination is the acoustic analysis, which evaluates the characteristic parameters extracted from the vocal signal. Computer-assisted decision-making systems can help sp...
Humans Artificial Intelligence Voice Voice Disorders Dysphonia
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