Results 11 to 20 of about 4,036,217 (345)
Background: A challenge for clinicians and researchers in laryngology is a lack of international consensus for an agreed framework to classify homogenous groups of voice disorders. Consistency in terminology and agreement in how conditions are classified
Weir, KA +3 more
core +2 more sources
Prevalence of Voice Disorders in the General Population, Based on the Stockholm Public Health Cohort
Objective: To investigate the prevalence of voice disorders in the general population. Study design: Analysis of data from the Stockholm Public Health Cohort.
Rydell, Roland, +5 more
core +3 more sources
Measuring Perceived Voice Disorders and Quality of Life among Female University Teaching Faculty. [PDF]
Background: Occupations that require heavy vocal use can place the person at risk of voice disorders (VDs). Heavy demands on the voice, especially for a long time or with loud back-ground noise, can lead to vocal abuse or misuse.
Al Awaji NN +7 more
europepmc +2 more sources
Continuous Speech for Improved Learning Pathological Voice Disorders. [PDF]
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
Using SincNet for Learning Pathological Voice Disorders. [PDF]
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
The Effectiveness of Supervised Machine Learning in Screening and Diagnosing Voice Disorders: Systematic Review and Meta-analysis. [PDF]
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
Prevalence of Voice Disorders in the United States: A National Survey
The prevalence of voice disorders has not been explored in the context of recent trends in voice use, including voice assistant technology and increased use of teleconferencing for remote work.
Molly N. Huston, Ira Puka, M. Naunheim
semanticscholar +1 more source
Previous studies on the automatic classification of voice disorders have mostly investigated the binary classification task, which aims to distinguish pathological voice from healthy voice.
Saska Tirronen +2 more
semanticscholar +1 more source
Impaired auditory discrimination and auditory-motor integration in hyperfunctional voice disorders
Hyperfunctional voice disorders (HVDs) are the most common class of voice disorders, consisting of diagnoses such as vocal fold nodules and muscle tension dysphonia.
D. Abur +6 more
semanticscholar +1 more source
Objective: To examine the effect of traditional voice therapy and cognitive therapy on the voice and client-wellbeing outcomes in adults with functional voice disorders (FVD). Methods: A systematic review of English articles was conducted using Medline (
Coman, Leah +5 more
core +1 more source

