AIMC Topic: Voice Quality

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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...
Machine Learning Reproducibility of Results Diagnosis, Computer-Assisted Predictive Value of Tests Acoustics Pattern Recognition, Automated Humans Wavelet Analysis Voice Disorders Larynx Voice Quality
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Demographic and Symptomatic Features of Voice Disorders and Their Potential Application in Classification Using Machine Learning Algorithms.

Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP) Sep 5, 2018
BACKGROUND: Studies have used questionnaires of dysphonic symptoms to screen voice disorders. This study investigated whether the differential presentation of demographic and symptomatic features can be applied to computerized classification.
Glottis Retrospective Studies Female Wounds and Injuries Aged Severity of Illness Index Demography Adult Humans Age Factors Male Vocal Cord Paralysis Neural Networks, Computer Supervised Machine Learning Middle Aged Voice Disorders Sex Factors Algorithms Laryngeal Neoplasms Smoking Voice Quality Alcohol Drinking Symptom Assessment
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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...
Speech Acoustics Vocal Cords Speech Production Measurement Voice Quality Dysphonia Aged, 80 and over Young Adult Adult Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Pilot Projects Support Vector Machine Predictive Value of Tests Signal Processing, Computer-Assisted Acoustics Sound Spectrography Humans Retrospective Studies Female Reproducibility of Results 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...
Humans Databases, Factual Female Male Case-Control Studies Diagnosis, Computer-Assisted Support Vector Machine Vocal Cords Voice Disorders Predictive Value of Tests Speech Production Measurement Signal Processing, Computer-Assisted Voice Quality Pattern Recognition, Automated Edema Speech Acoustics Vocal Cord Paralysis
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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 ...
Acoustics Male Humans Sound Spectrography Aging Neural Networks, Computer Algorithms Speech Acoustics Middle Aged Female Speech Production Measurement Adolescent Aged Pattern Recognition, Physiological Age Factors Aged, 80 and over Voice Quality Signal Processing, Computer-Assisted Young Adult Adult
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A neural-based vocoder implementation for evaluating cochlear implant coding strategies.

Hearing research Jan 14, 2016
Most simulations of cochlear implant (CI) coding strategies rely on standard vocoders that are based on purely signal processing techniques. However, these models neither account for various biophysical phenomena, such as neural stochasticity and ref...
Time Factors Electroencephalography Speech Acoustics Signal Processing, Computer-Assisted Humans Auditory Threshold Cochlear Implantation Neural Networks, Computer Prosthesis Design Voice Quality Computer Simulation Acoustic Stimulation Stochastic Processes Loudness Perception Female Auditory Pathways Electric Stimulation Psychoacoustics Adult Cochlear Implants Male Persons with Hearing Disabilities Speech Perception Middle Aged
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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...
Principal Component Analysis Voice Disorders Humans Male Video Recording Laryngoscopy Middle Aged Female Image Interpretation, Computer-Assisted Vibration Case-Control Studies Reproducibility of Results Pattern Recognition, Automated Phonation Time Factors Aged Wavelet Analysis Larynx Adult Support Vector Machine Vocal Cords Voice Quality Biomechanical Phenomena Predictive Value of Tests
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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...
Humans Machine Learning Female Reproducibility of Results Young Adult Signal Processing, Computer-Assisted Acoustics Sound Spectrography Speech Acoustics Speech Production Measurement Voice Quality Adult Dysphonia Male Middle Aged Case-Control Studies Predictive Value of Tests Bayes Theorem
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Automatic GRBAS Scoring of Pathological Voices using Deep Learning and a Small Set of Labeled Voice Data.

Journal of voice : official journal of the Voice Foundation May 1, 2025
OBJECTIVES: Auditory-perceptual evaluation frameworks, such as the grade-roughness-breathiness-asthenia-strain (GRBAS) scale, are the gold standard for the quantitative evaluation of pathological voice quality. However, the evaluation is subjective; ...
Female Reproducibility of Results Adult Male Severity of Illness Index Deep Learning Time Factors Humans Neural Networks, Computer Speech Acoustics Voice Disorders Predictive Value of Tests Speech Production Measurement Voice Quality Signal Processing, Computer-Assisted Acoustics Observer Variation Automation Judgment
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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...
Voice Quality Female Dysphonia Reproducibility of Results Humans Middle Aged Speech Acoustics Aged Databases, Factual Case-Control Studies Vocal Cord Paralysis Young Adult Support Vector Machine Vocal Cords Adult Predictive Value of Tests Voice Disorders Male Signal Processing, Computer-Assisted Speech Production Measurement Acoustics Phonation Sound Spectrography
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