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Speech Production Measurement

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A Comparison of an Artificial Intelligence Tool to Fundamental Frequency as an Outcome Measure in People Seeking a More Feminine Voice.

The Laryngoscope 33973649
OBJECTIVES/HYPOTHESIS: An artificial intelligence (AI) tool was developed using audio clips of cis-male and cis-female voices based on spectral analysis to assess %probability of a voice being perceived as female (%Prob♀). This program was validated ...
Artificial Intelligence Female Humans Laryngoplasty Male Retrospective Studies Sex Factors Speech Acoustics Speech Production Measurement Timbre Perception Transgender Persons Treatment Outcome Voice
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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 34965907
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...
Adult Aged Case-Control Studies Cough COVID-19 COVID-19 Testing Female Humans Machine Learning Male Middle Aged Phonation Predictive Value of Tests Reproducibility of Results SARS-CoV-2 Speech Acoustics Speech Production Measurement Voice Disorders Voice Quality
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Automated Dysarthria Severity Classification: A Study on Acoustic Features and Deep Learning Techniques.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society 35452390
Assessing the severity level of dysarthria can provide an insight into the patient's improvement, assist pathologists to plan therapy, and aid automatic dysarthric speech recognition systems. In this article, we present a comparative study on the cla...
Acoustics Deep Learning Dysarthria Humans Speech Speech Production Measurement
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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 35490081
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...
Acoustics Automation Databases, Factual Dysphonia Humans Predictive Value of Tests Reproducibility of Results Signal Processing, Computer-Assisted Sound Spectrography Speech Acoustics Speech Production Measurement Support Vector Machine Voice Disorders Voice Quality
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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 36028370
OBJECTIVE: To identify and evaluate the best set of acoustic measures to discriminate among healthy, rough, breathy, and strained voices.
Acoustics Adolescent Adult Aged Algorithms Case-Control Studies Feedforward Neural Networks Female Humans Male Middle Aged Neural Networks, Computer Predictive Value of Tests Reproducibility of Results Signal Processing, Computer-Assisted Sound Spectrography Speech Acoustics Speech Production Measurement Voice Disorders Voice Quality Young 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 36154973
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...
Adult Biomechanical Phenomena Case-Control Studies Deep Learning Dysphonia Female Humans Image Interpretation, Computer-Assisted Laryngoscopy Male Middle Aged Phonation Predictive Value of Tests Reproducibility of Results Speech Acoustics Speech Production Measurement Vibration Video Recording Vocal Cords Voice Quality
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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 36117378
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...
Acoustics Artificial Intelligence Deep Learning Dysphonia Humans Reproducibility of Results Retrospective Studies Speech Acoustics Speech Production Measurement
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Pathological Voice Detection Based on Phase Reconstitution and Convolutional Neural Network.

Journal of voice : official journal of the Voice Foundation 36280493
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...
Acoustics Case-Control Studies Convolutional Neural Networks Databases, Factual Female Humans Male Neural Networks, Computer Nonlinear Dynamics Predictive Value of Tests Reproducibility of Results Signal Processing, Computer-Assisted Sound Spectrography Speech Acoustics Speech Production Measurement Time Factors Vocal Cord Paralysis Voice Disorders Voice Quality
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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 36424242
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...
Acoustics Adult Aged Case-Control Studies Databases, Factual Dysphonia Female Humans Male Middle Aged Phonation Predictive Value of Tests Reproducibility of Results Signal Processing, Computer-Assisted Sound Spectrography Speech Acoustics Speech Production Measurement Support Vector Machine Vocal Cord Paralysis Vocal Cords Voice Disorders Voice Quality Young Adult
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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 36376192
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 Adult Bayes Theorem Case-Control Studies Dysphonia Female Fuzzy Logic Humans Machine Learning Middle Aged Predictive Value of Tests Reproducibility of Results Signal Processing, Computer-Assisted Speech Acoustics Speech Perception Speech Production Measurement Treatment Outcome Voice Quality Voice Training Young Adult
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