Results 1 to 10 of about 3,448,535 (370)

Work-related voice disorder. [PDF]

open access: yesBraz J Otorhinolaryngol, 2015
INTRODUCTION: Dysphonia is the main symptom of the disorders of oral communication. However, voice disorders also present with other symptoms such as difficulty in maintaining the voice (asthenia), vocal fatigue, variation in habitual vocal fundamental ...
Przysiezny PE, Przysiezny LT.
europepmc   +7 more sources

A novel hybrid model integrating MFCC and acoustic parameters for voice disorder detection. [PDF]

open access: yesSci Rep, 2023
Voice is an essential component of human communication, serving as a fundamental medium for expressing thoughts, emotions, and ideas. Disruptions in vocal fold vibratory patterns can lead to voice disorders, which can have a profound impact on ...
Verma V   +7 more
europepmc   +3 more sources

Voice disorder in cystic fibrosis patients. [PDF]

open access: yesPLoS One, 2014
Cystic fibrosis is a common autosomal recessive disorder with drastic respiratory symptoms, including shortness of breath and chronic cough. While most of cystic fibrosis treatment is dedicated to mitigating the effects of respiratory dysfunction, the ...
Lourenço BM   +2 more
europepmc   +3 more sources

Voice Disorder Classification Based on Multitaper Mel Frequency Cepstral Coefficients Features. [PDF]

open access: goldComput Math Methods Med, 2015
The Mel Frequency Cepstral Coefficients (MFCCs) are widely used in order to extract essential information from a voice signal and became a popular feature extractor used in audio processing.
Eskidere Ö, Gürhanlı A.
europepmc   +4 more sources

Voice disorder classification using convolutional neural network based on deep transfer learning. [PDF]

open access: yesSci Rep, 2023
Voice disorders are very common in the global population. Many researchers have conducted research on the identification and classification of voice disorders based on machine learning. As a data-driven algorithm, machine learning requires a large number
Peng X, Xu H, Liu J, Wang J, He C.
europepmc   +2 more sources

Pitch Discrimination Testing in Patients with a Voice Disorder. [PDF]

open access: yesJ Clin Med, 2022
Auditory perception plays an important role in voice control. Pitch discrimination (PD) is a key index of auditory perception and is influenced by a variety of factors.
Nguyen DD   +5 more
europepmc   +2 more sources

The Risk Factors Related to Voice Disorder in Teachers: A Systematic Review and Meta-Analysis. [PDF]

open access: yesInt J Environ Res Public Health, 2019
Background and Objectives: Identifying the risk factors of teachers’ voice disorders is very important for preventing voice disorders and the recurrence of them.
Byeon H.
europepmc   +2 more sources

Effect of teacher's working conditions on voice disorder in Korea: a nationwide survey. [PDF]

open access: yesAnn Occup Environ Med, 2018
BackgroundKorean teacher’s working conditions are deteriorating. There is concern about the deterioration of teachers’ health and voice disorder is one of the most common problems. Teacher’s vocal health is important for them and their students.
Lee YR, Kim HR, Lee S.
europepmc   +2 more sources

Voice Disorder Detection via an m-Health System: Design and Results of a Clinical Study to Evaluate Vox4Health. [PDF]

open access: yesBiomed Res Int, 2018
Objectives The current study presents a clinical evaluation of Vox4Health, an m-health system able to estimate the possible presence of a voice disorder by calculating and analyzing the main acoustic measures required for the acoustic analysis, namely ...
Cesari U   +5 more
europepmc   +2 more sources

Parameterization of Sequence of MFCCs for DNN-based voice disorder detection [PDF]

open access: yesarXiv, 2018
In this article a DNN-based system for detection of three common voice disorders (vocal nodules, polyps and cysts; laryngeal neoplasm; unilateral vocal paralysis) is presented. The input to the algorithm is (at least 3-second long) audio recording of sustained vowel sound /a:/. The algorithm was developed as part of the "2018 FEMH Voice Data Challenge"
Tomasz Grzywalski   +10 more
arxiv   +3 more sources

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