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Speech Production Measurement

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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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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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TranStutter: A Convolution-Free Transformer-Based Deep Learning Method to Classify Stuttered Speech Using 2D Mel-Spectrogram Visualization and Attention-Based Feature Representation.

Sensors (Basel, Switzerland) 37836863
Stuttering, a prevalent neurodevelopmental disorder, profoundly affects fluent speech, causing involuntary interruptions and recurrent sound patterns. This study addresses the critical need for the accurate classification of stuttering types. The res...
Deep Learning Humans Speech Speech Disorders Speech Production Measurement Stuttering
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Computing nasalance with MFCCs and Convolutional Neural Networks.

PloS one 39739659
Nasalance is a valuable clinical biomarker for hypernasality. It is computed as the ratio of acoustic energy emitted through the nose to the total energy emitted through the mouth and nose (eNasalance). A new approach is proposed to compute nasalance...
Adult Chile Costa Rica Female Humans Language Male Neural Networks, Computer Nose Speech Speech Acoustics Speech Production Measurement
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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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Artificial Intelligence-Assisted Speech Therapy for /ɹ/: A Single-Case Experimental Study.

American journal of speech-language pathology 39173110
PURPOSE: This feasibility trial describes changes in rhotic production in residual speech sound disorder following ten 40-min sessions including artificial intelligence (AI)-assisted motor-based intervention with ChainingAI, a version of Speech Motor...
Adolescent Artificial Intelligence Child Feasibility Studies Female Humans Male Phonetics Speech Production Measurement Speech Sound Disorder Speech Therapy Therapy, Computer-Assisted Treatment Outcome Young Adult
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Accuracy of Speech Sound Analysis: Comparison of an Automatic Artificial Intelligence Algorithm With Clinician Assessment.

Journal of speech, language, and hearing research : JSLHR 39173066
PURPOSE: Automatic speech analysis (ASA) and automatic speech recognition systems are increasingly being used in the treatment of speech sound disorders (SSDs). When utilized as a home practice tool or in the absence of the clinician, the ASA system ...
Adolescent Algorithms Artificial Intelligence Child Child, Preschool Female Humans Male Phonetics Reproducibility of Results Speech Production Measurement Speech Recognition Software Speech Sound Disorder
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Using articulatory feature detectors in progressive networks for multilingual low-resource phone recognitiona).

The Journal of the Acoustical Society of America 39560422
Systems inspired by progressive neural networks, transferring information from end-to-end articulatory feature detectors to similarly structured phone recognizers, are described. These networks, connecting the corresponding recurrent layers of pre-tr...
Humans Language Multilingualism Neural Networks, Computer Phonetics Speech Acoustics Speech Production Measurement Speech Recognition Software
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Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and After Exacerbation.

International journal of chronic obstructive pulmonary disease 39867993
BACKGROUND: Chronic obstructive pulmonary disease (COPD) affects breathing, speech production, and coughing. We evaluated a machine learning analysis of speech for classifying the disease severity of COPD.
Aged Disease Progression Female Functional Status Humans Lung Male Middle Aged Predictive Value of Tests Prognosis Prospective Studies Pulmonary Disease, Chronic Obstructive Reproducibility of Results Respiratory Function Tests Severity of Illness Index Speech Speech Acoustics Speech Production Measurement Support Vector Machine Time Factors Voice Quality
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The machine learning-based prediction of the sound pressure level from pathological and healthy speech signals.

The Journal of the Acoustical Society of America 40079770
Vocal intensity is quantified by sound pressure level (SPL). The SPL can be measured by either using a sound level meter or by comparing the energy of the recorded speech signal with the energy of the recorded calibration tone of a known SPL. Neither...
Adult Aged Case-Control Studies Female Humans Machine Learning Male Middle Aged Pressure Signal Processing, Computer-Assisted Sound Spectrography Speech Acoustics Speech Production Measurement Voice Quality
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