AIMC Topic: Speech Production Measurement
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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
May 4, 2022
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...
The Effect of the MFCC Frame Length in Automatic Voice Pathology Detection.
Journal of voice : official journal of the Voice Foundation
Apr 27, 2022
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...
Machine Learning-based Voice Assessment for the Detection of Positive and Recovered COVID-19 Patients.
Journal of voice : official journal of the Voice Foundation
Nov 26, 2021
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...
A Deep Learning Algorithm for Objective Assessment of Hypernasality in Children With Cleft Palate.
IEEE transactions on bio-medical engineering
Sep 20, 2021
OBJECTIVES: Evaluation of hypernasality requires extensive perceptual training by clinicians and extending this training on a large scale internationally is untenable; this compounds the health disparities that already exist among children with cleft...
A Comparison of an Artificial Intelligence Tool to Fundamental Frequency as an Outcome Measure in People Seeking a More Feminine Voice.
The Laryngoscope
May 11, 2021
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 ...
Speech Vision: An End-to-End Deep Learning-Based Dysarthric Automatic Speech Recognition System.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
May 7, 2021
Dysarthria is a disorder that affects an individual's speech intelligibility due to the paralysis of muscles and organs involved in the articulation process. As the condition is often associated with physically debilitating disabilities, not only do ...
Automatic prediction of intelligible speaking rate for individuals with ALS from speech acoustic and articulatory samples.
International journal of speech-language pathology
Nov 8, 2018
: This research aimed to automatically predict intelligible speaking rate for individuals with Amyotrophic Lateral Sclerosis (ALS) based on speech acoustic and articulatory samples. Twelve participants with ALS and two normal subjects produced a tot...
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...
Support Vector Machine
Predictive Value of Tests
Signal Processing, Computer-Assisted
Acoustics
Sound Spectrography
Retrospective Studies
Speech Acoustics
Female
Vocal Cords
Reproducibility of Results
Speech Production Measurement
Aged
Middle Aged
Humans
Diagnosis, Computer-Assisted
Deep Learning
Aged, 80 and over
Pilot Projects
Voice Quality
Young Adult
Dysphonia
Adult
Male
Regularized Speaker Adaptation of KL-HMM for Dysarthric Speech Recognition.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Mar 13, 2017
This paper addresses the problem of recognizing the speech uttered by patients with dysarthria, which is a motor speech disorder impeding the physical production of speech. Patients with dysarthria have articulatory limitation, and therefore, they of...
Representation Learning Based Speech Assistive System for Persons With Dysarthria.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Dec 13, 2016
An assistive system for persons with vocal impairment due to dysarthria converts dysarthric speech to normal speech or text. Because of the articulatory deficits, dysarthric speech recognition needs a robust learning technique. Representation learnin...
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