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Speech Acoustics

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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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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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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 36437171
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; ...
Acoustics Adult Automation Deep Learning Female Humans Judgment Male Neural Networks, Computer Observer Variation Predictive Value of Tests Reproducibility of Results Severity of Illness Index Signal Processing, Computer-Assisted Speech Acoustics Speech Production Measurement Time Factors 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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[Current methods of acoustic analysis of voice: a review].

Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery 36543409
Acoustic analysis of the voice, as an objective, quantitative, non-invasive and reproducible method for the evaluation of voice quality, can be used to detect and analyze the acoustic characteristics of normal, artistic or pathological voice. With th...
Acoustics Artificial Intelligence Humans Speech Acoustics Voice Voice Quality
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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 36513560
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...
Acoustics Adult Bayes Theorem Case-Control Studies Dysphonia Female Humans Machine Learning Male Middle Aged Predictive Value of Tests Reproducibility of Results Signal Processing, Computer-Assisted Sound Spectrography Speech Acoustics Speech Production Measurement Voice Quality Young Adult
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Use of a humanoid robot for auditory psychophysical testing.

PloS one 38091272
Tasks in psychophysical tests can at times be repetitive and cause individuals to lose engagement during the test. To facilitate engagement, we propose the use of a humanoid NAO robot, named Sam, as an alternative interface for conducting psychophysi...
Auditory Perception Cues Gender Identity Hearing Tests Humans Robotics Speech Acoustics Speech Perception
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Consistency of the Signature of Phonotraumatic Vocal Hyperfunction Across Different Ambulatory Voice Measures.

Journal of speech, language, and hearing research : JSLHR 38861454
PURPOSE: Although different factors and voice measures have been associated with phonotraumatic vocal hyperfunction (PVH), it is unclear what percentage of individuals with PVH exhibit such differences during their daily lives. This study used a mach...
Adult Aged Case-Control Studies Female Humans Machine Learning Middle Aged Phonation Speech Acoustics Vocal Cords Voice Voice Disorders Voice Quality Young Adult
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Evaluating the consistency of lenition measures: Neural networks' posterior probability, intensity velocity, and duration.

The Journal of the Acoustical Society of America 39189786
Predictions of gradient degree of lenition of voiceless and voiced stops in a corpus of Argentine Spanish are evaluated using three acoustic measures (minimum and maximum intensity velocity and duration) and two recurrent neural network (Phonet) meas...
Acoustics Humans Neural Networks, Computer Phonetics Probability Speech Acoustics Speech Production Measurement Time Factors
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