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

Showing 11 to 20 of 22 articles

Oncological, Surgical and Functional Outcomes of Transoral Robotic Cordectomy for Early Glottic Carcinoma.

Journal of voice : official journal of the Voice Foundation Jun 3, 2021
OBJECTIVE: To investigate oncological, surgical and functional outcomes of transoral robotic surgery cordectomy (TORS-Co).
Head and Neck Neoplasms Robotics Robotic Surgical Procedures Carbon Dioxide Laryngeal Neoplasms Carcinoma, Squamous Cell Postoperative Complications Treatment Outcome Squamous Cell Carcinoma of Head and Neck Humans Retrospective Studies
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Beyond the Buzzwords: Artificial Intelligence in Laryngology.

Journal of voice : official journal of the Voice Foundation Apr 30, 2021
Humans Artificial Intelligence Otolaryngology
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Limitations of Transoral Robotic Total Laryngectomy.

Journal of voice : official journal of the Voice Foundation Dec 15, 2020
Laryngeal Neoplasms Laryngectomy Humans Robotics Robotic Surgical Procedures
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Comparison of Convolutional Neural Network Models for Determination of Vocal Fold Normality in Laryngoscopic Images.

Journal of voice : official journal of the Voice Foundation Aug 30, 2020
OBJECTIVES: Deep learning using convolutional neural networks (CNNs) is widely used in medical imaging research. This study was performed to investigate if vocal fold normality in laryngoscopic images can be determined by CNN-based deep learning and ...
Neural Networks, Computer Sensitivity and Specificity Deep Learning Vocal Cords Humans Laryngoscopy
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Deep Neural Network for Automatic Classification of Pathological Voice Signals.

Journal of voice : official journal of the Voice Foundation Jul 10, 2020
OBJECTIVES: Computer-aided pathological voice detection is efficient for initial screening of pathological voice, and has received high academic and clinical attention. This paper proposes an automatic diagnosis method of pathological voice based on ...
Acoustics Voice Humans Neural Networks, Computer Support Vector Machine
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A Survey on Machine Learning Approaches for Automatic Detection of Voice Disorders.

Journal of voice : official journal of the Voice Foundation Oct 11, 2018
The human voice production system is an intricate biological device capable of modulating pitch and loudness. Inherent internal and/or external factors often damage the vocal folds and result in some change of voice. The consequences are reflected in...
Pattern Recognition, Automated Wavelet Analysis Voice Disorders Larynx Voice Quality Reproducibility of Results Diagnosis, Computer-Assisted Predictive Value of Tests Acoustics Humans Machine Learning
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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...
Dysphonia Humans Retrospective Studies Female Reproducibility of Results Aged Aged, 80 and over Young Adult Predictive Value of Tests Signal Processing, Computer-Assisted Acoustics Sound Spectrography Speech Acoustics Vocal Cords Speech Production Measurement Voice Quality Diagnosis, Computer-Assisted Deep Learning Pilot Projects Support Vector Machine Adult Male Middle Aged
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Hierarchical Classification and System Combination for Automatically Identifying Physiological and Neuromuscular Laryngeal Pathologies.

Journal of voice : official journal of the Voice Foundation Oct 12, 2016
OBJECTIVES: Speech signal processing techniques have provided several contributions to pathologic voice identification, in which healthy and unhealthy voice samples are evaluated. A less common approach is to identify laryngeal pathologies, for which...
Voice Quality Vocal Cord Paralysis Vocal Cords Voice Disorders Speech Production Measurement Pattern Recognition, Automated Edema Speech Acoustics Humans Diagnosis, Computer-Assisted Support Vector Machine Predictive Value of Tests Signal Processing, Computer-Assisted Databases, Factual Female Male Case-Control Studies
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Evolving Spiking Neural Networks for Recognition of Aged Voices.

Journal of voice : official journal of the Voice Foundation Apr 1, 2016
The aging of the voice, known as presbyphonia, is a natural process that can cause great change in vocal quality of the individual. This is a relevant problem to those people who use their voices professionally, and its early identification can help ...
Speech Production Measurement Pattern Recognition, Physiological Voice Quality Acoustics Sound Spectrography Speech Acoustics Adult Male Aging Middle Aged Adolescent Age Factors Signal Processing, Computer-Assisted Female Aged Aged, 80 and over Young Adult Humans Neural Networks, Computer Algorithms
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Different Performances of Machine Learning Models to Classify Dysphonic and Non-Dysphonic Voices.

Journal of voice : official journal of the Voice Foundation May 1, 2025
OBJECTIVE: To analyze the performance of 10 different machine learning (ML) classifiers for discrimination between dysphonic and non-dysphonic voices, using a variance threshold as a method for the selection and reduction of acoustic measurements use...
Male Middle Aged Case-Control Studies Predictive Value of Tests Reproducibility of Results Young Adult Adult Speech Acoustics Speech Production Measurement Voice Quality Dysphonia Bayes Theorem Signal Processing, Computer-Assisted Acoustics Sound Spectrography Humans Machine Learning Female
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