AIMC Topic: Phonation

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A generalized procedure for analyzing sustained and dynamic vocal fold vibrations from laryngeal high-speed videos using phonovibrograms.

Artificial intelligence in medicine Oct 30, 2015
OBJECTIVE: This work presents a computer-based approach to analyze the two-dimensional vocal fold dynamics of endoscopic high-speed videos, and constitutes an extension and generalization of a previously proposed wavelet-based procedure. While most a...
Wavelet Analysis Female Vocal Cords Reproducibility of Results Voice Disorders Aged Laryngoscopy Vibration Phonation Humans Video Recording Support Vector Machine Image Interpretation, Computer-Assisted Larynx Predictive Value of Tests Pattern Recognition, Automated Voice Quality Principal Component Analysis Middle Aged Case-Control Studies Adult Time Factors Biomechanical Phenomena Male
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Data dependent random forest applied to screening for laryngeal disorders through analysis of sustained phonation: acoustic versus contact microphone.

Medical engineering & physics Jan 22, 2015
Comprehensive evaluation of results obtained using acoustic and contact microphones in screening for laryngeal disorders through analysis of sustained phonation is the main objective of this study. Aiming to obtain a versatile characterization of voi...
Laryngeal Diseases Phonation Humans Female Artificial Intelligence Aged Middle Aged Young Adult Aged, 80 and over Acoustics Adult Voice Male
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Detection of Neurogenic Voice Disorders Using the Fisher Vector Representation of Cepstral Features.

Journal of voice : official journal of the Voice Foundation May 1, 2025
Neurogenic voice disorders (NVDs) are caused by damage or malfunction of the central or peripheral nervous system that controls vocal fold movement. In this paper, we investigate the potential of the Fisher vector (FV) encoding in automatic detection...
Young Adult Adult Male Female Reproducibility of Results Aged Predictive Value of Tests Signal Processing, Computer-Assisted Acoustics Middle Aged Case-Control Studies Support Vector Machine Phonation Humans Vocal Cords Voice Quality Databases, Factual Voice Disorders Dysphonia Speech Production Measurement Sound Spectrography Speech Acoustics Vocal Cord Paralysis
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A WaveNet-based model for predicting the electroglottographic signal from the acoustic voice signal.

The Journal of the Acoustical Society of America Apr 1, 2025
The electroglottographic (EGG) signal offers a non-invasive approach to analyze phonation. It is known, if not obvious, that the onset of vocal fold contacting has a substantial effect on how the vocal folds vibrate and on the quality of the voice. G...
Male Signal Processing, Computer-Assisted Humans Speech Acoustics Neural Networks, Computer Female Retrospective Studies Electrodiagnosis Young Adult Vocal Cords Voice Quality Adult Voice Glottis Phonation
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A Deep Learning-Based Generalized Empirical Flow Model of Glottal Flow During Normal Phonation.

Journal of biomechanical engineering Sep 1, 2022
This paper proposes a deep learning-based generalized empirical flow model (EFM) that can provide a fast and accurate prediction of the glottal flow during normal phonation. The approach is based on the assumption that the vibration of the vocal fold...
Vocal Cords Vibration Phonation Glottis Computer Simulation Deep Learning Models, Biological
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Estimating the spectral tilt of the glottal source from telephone speech using a deep neural network.

The Journal of the Acoustical Society of America Apr 1, 2017
Estimation of the spectral tilt of the glottal source has several applications in speech analysis and modification. However, direct estimation of the tilt from telephone speech is challenging due to vocal tract resonances and distortion caused by spe...
Telephone Voice Quality Glottis Signal Processing, Computer-Assisted Acoustics Sound Spectrography Female Speech Acoustics Male Humans Speech Production Measurement Deep Learning Phonation
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