AI Medical Compendium Journal:
Journal of voice : official journal of the Voice Foundation

Showing 1 to 10 of 22 articles

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...
Image Interpretation, Computer-Assisted Vocal Cords Phonation Voice Quality Glottis Humans Biomechanical Phenomena Deep Learning
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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...
Acoustics Humans Speech Perception Machine Learning Speech Acoustics Female Speech Production Measurement Reproducibility of Results Voice Quality Dysphonia Young Adult Treatment Outcome Voice Training Adult Fuzzy Logic Middle Aged Predictive Value of Tests Case-Control Studies Bayes Theorem Signal Processing, Computer-Assisted
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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...
Databases, Factual Female Reproducibility of Results Male Case-Control Studies Humans Neural Networks, Computer Speech Production Measurement Voice Quality Convolutional Neural Networks Time Factors Sound Spectrography Predictive Value of Tests Nonlinear Dynamics Signal Processing, Computer-Assisted Speech Acoustics Acoustics Vocal Cord Paralysis Voice Disorders
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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...
Image Interpretation, Computer-Assisted Speech Acoustics Vocal Cords Laryngoscopy Vibration Speech Production Measurement Phonation Voice Quality Dysphonia Middle Aged Case-Control Studies Deep Learning Predictive Value of Tests Video Recording Female Reproducibility of Results Adult Biomechanical Phenomena Male Humans
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Diagnosis of Early Glottic Cancer Using Laryngeal Image and Voice Based on Ensemble Learning of Convolutional Neural Network Classifiers.

Journal of voice : official journal of the Voice Foundation Sep 6, 2022
OBJECTIVES: The purpose of study is to improve the classification accuracy by comparing the results obtained by applying decision tree ensemble learning, which is one of the methods to increase the classification accuracy for a relatively small datas...
Early Detection of Cancer Decision Trees Video Recording Voice Laryngoscopy Retrospective Studies Adult Male Diagnosis, Computer-Assisted Convolutional Neural Networks Laryngeal Neoplasms Glottis Sound Recordings Humans
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Performance of Acoustic Measures for the Discrimination Among Healthy, Rough, Breathy, and Strained Voices Using the Feedforward Neural Network.

Journal of voice : official journal of the Voice Foundation Aug 23, 2022
OBJECTIVE: To identify and evaluate the best set of acoustic measures to discriminate among healthy, rough, breathy, and strained voices.
Humans Neural Networks, Computer Predictive Value of Tests Signal Processing, Computer-Assisted Acoustics Sound Spectrography Voice Disorders Adult Speech Acoustics Speech Production Measurement Algorithms Male Voice Quality Female Middle Aged Feedforward Neural Networks Reproducibility of Results Case-Control Studies Aged Adolescent Young Adult
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The Acoustic Dissection of Cough: Diving Into Machine Listening-based COVID-19 Analysis and Detection.

Journal of voice : official journal of the Voice Foundation Jun 15, 2022
OBJECTIVES: The coronavirus disease 2019 (COVID-19) has caused a crisis worldwide. Amounts of efforts have been made to prevent and control COVID-19's transmission, from early screenings to vaccinations and treatments. Recently, due to the spring up ...
Adult Male Middle Aged Predictive Value of Tests Cough Signal Processing, Computer-Assisted Humans Machine Learning Acoustics COVID-19 Sound Spectrography Female SARS-CoV-2
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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...
Speech Acoustics Voice Disorders Speech Production Measurement Voice Quality Dysphonia Predictive Value of Tests Humans Signal Processing, Computer-Assisted Databases, Factual Acoustics Reproducibility of Results Sound Spectrography Support Vector Machine Automation
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Machine Learning-Based Cry Diagnostic System for Identifying Septic Newborns.

Journal of voice : official journal of the Voice Foundation Feb 19, 2022
BACKGROUND AND OBJECTIVE: Processing the newborns' cry audio signal (CAS) provides valuable information about the newborns' condition. This information can be used to diagnose the disease. This article analyzes the CASs of newborns under two months o...
Infant Sepsis Monitoring, Physiologic Principal Component Analysis Crying Humans Machine Learning Sound Recordings Female Infant, Newborn Male
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Machine Learning-based Voice Assessment for the Detection of Positive and Recovered COVID-19 Patients.

Journal of voice : official journal of the Voice Foundation Nov 26, 2021
Many virological tests have been implemented during the Coronavirus Disease 2019 (COVID-19) pandemic for diagnostic purposes, but they appear unsuitable for screening purposes. Furthermore, current screening strategies are not accurate enough to effe...
Middle Aged Case-Control Studies Predictive Value of Tests Reproducibility of Results Cough Humans SARS-CoV-2 COVID-19 Testing Machine Learning Aged Speech Acoustics COVID-19 Adult Voice Disorders Female Male Speech Production Measurement Phonation Voice Quality
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