Results 11 to 20 of about 3,785,318 (292)

A New Voice on Personality Disorders [PDF]

open access: bronze, 1993
BROKEN STRUCTURES: SEVERE PERSONALITY DISORDERS AND THEIR TREATMENT Salman Akhtar, M.D.
Dan Block
openalex   +4 more sources

Voice disorders and mental health in teachers: a cross-sectional nationwide study [PDF]

open access: goldBMC Public Health, 2009
Background Teachers, as professional voice users, are at particular risk of voice disorders. Among contributing factors, stress and psychological tension could play a role but epidemiological data on this problem are scarce.
Gilbert Fabien   +3 more
doaj   +2 more sources

Prevalence of Voice Disorders and Correlation Between Hypernasality and Acoustic Characteristics in Children With Cleft Lip and Palate [PDF]

open access: yesLaryngoscope Investigative Otolaryngology
Objective To determine the prevalence of voice disorders, relationships between voice disorders and hypernasality, patterns of compensatory articulation disorders (CAD), acoustic characteristics, and associated factors in children with cleft palate with ...
Nalinee Deengam   +2 more
doaj   +2 more sources

Voice Disorders and Voice Knowledge in Choir Singers

open access: yesJournal of Voice, 2020
Singers have reported higher prevalence of vocally harmful behaviors, vocal symptoms, and voice disorders than nonsingers have. The purpose of this study was to investigate the prevalence of voice disorders among choir singers and to discover the risk factors associated with voice disorders.
Susanna Simberg, Sofie Ravall
openaire   +3 more sources

Crossed idiopathic hemihypertrophy diagnosed incidentally in an adolescent with voice disorders: A case report [PDF]

open access: yesHeliyon
Background: Hemihypertrophy (HH) is a rare congenital malformation usually recognized at birth. It is often diagnosed due to impaired aesthetics and mobility caused by asymmetry of the face, body, or limbs. Some patients are diagnosed due to the presence
Lei Dong   +3 more
doaj   +2 more sources

Using SincNet for Learning Pathological Voice Disorders. [PDF]

open access: yesSensors (Basel), 2022
Deep learning techniques such as convolutional neural networks (CNN) have been successfully applied to identify pathological voices. However, the major disadvantage of using these advanced models is the lack of interpretability in explaining the ...
Hung CH, Wang SS, Wang CT, Fang SH.
europepmc   +2 more sources

Continuous Speech for Improved Learning Pathological Voice Disorders. [PDF]

open access: yesIEEE Open J Eng Med Biol, 2022
Goal: Numerous studies had successfully differentiated normal and abnormal voice samples. Nevertheless, further classification had rarely been attempted. This study proposes a novel approach, using continuous Mandarin speech instead of a single vowel, to
Wang SS   +4 more
europepmc   +3 more sources

The prevalence and risk factors for perceived voice disorders in public school teachers. [PDF]

open access: yesLaryngoscope Investig Otolaryngol, 2022
The aim of this study was to explore the prevalence and risk factors in public kindergarten and elementary school teachers in the Jimei district in Xiamen. We took particular interest in the relationship between work‐related factors and voice disorders.
Feng S   +5 more
europepmc   +2 more sources

The Effectiveness of Supervised Machine Learning in Screening and Diagnosing Voice Disorders: Systematic Review and Meta-analysis.

open access: yesJ Med Internet Res, 2022
Background When investigating voice disorders a series of processes are used when including voice screening and diagnosis. Both methods have limited standardized tests, which are affected by the clinician’s experience and subjective judgment.
Al-Hussain G   +4 more
europepmc   +2 more sources

Impaired auditory discrimination and auditory-motor integration in hyperfunctional voice disorders. [PDF]

open access: yesSci Rep, 2021
Hyperfunctional voice disorders (HVDs) are the most common class of voice disorders, consisting of diagnoses such as vocal fold nodules and muscle tension dysphonia.
Abur D   +6 more
europepmc   +2 more sources

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