Results 11 to 20 of about 3,448,535 (370)
Frequency and factors associated with use of videolaryngostroboscopy in voice disorder assessment. [PDF]
Laryngoscope, 2014 Videolaryngostroboscopy (VLS) is considered an important diagnostic tool in the evaluation of patients with laryngeal/voice disorders. We evaluated the frequency of, diagnoses associated with, and factors related to VLS use in the evaluation of ...
Cohen SM +4 more
europepmc +2 more sources
Voice disorder in systemic lupus erythematosus. [PDF]
PLoS One, 2017 Systemic lupus erythematosus (SLE) is a chronic disease characterized by progressive tissue damage. In recent decades, novel treatments have greatly extended the life span of SLE patients.
de Macedo MSFC +2 more
europepmc +2 more sources
International Journal of Child, Youth & Family Studies, 2016 The inability to communicate easily and clearly can have far-reaching debilitating effects, not only in childhood, but throughout a lifetime. The aim of this study was to determine the prevalence of stuttering, voice disorder, and speech sound disorders ...
Omid Mohamadi +2 more
doaj +2 more sources
“Is voice a marker for Autism spectrum disorder? A systematic review and meta‐analysis” [PDF]
bioRxiv, 2016 Lay Abstract Individuals with Autism Spectrum Disorder (ASD) are reported to speak in distinctive ways. Distinctive vocal production should be better understood as it can affect social interactions and social development and could represent a noninvasive
Riccardo Fusaroli +4 more
openalex +2 more sources
Voice disorders in children – a single center experience [PDF]
Liječnički vjesnik, 2021 Background: Voice disorders in children are frequent and require early diagnosis and treatment. If not diagnosed in time, they can result in chronic hoarseness which can create communication disorders in children during sensitive school period ...
Lana Kovač Bilić +3 more
doaj +1 more source
National Journal of Community Medicine, 2022 Background: Voice disorders cause undesirable effects on school teachers such as reducing their quality of life, decrease in work performance affecting the quality of education, job absenteeism, and reduced social activities as well.
Gowthaman Sankar +4 more
doaj +1 more source
Automatic Voice Disorder Detection Using Self-Supervised Representations
IEEE Access, 2023 Many speech features and models, including Deep Neural Networks (DNN), are used for classification tasks between healthy and pathological speech with the Saarbruecken Voice Database (SVD).
D. Ribas +5 more
semanticscholar +1 more source
Utilizing Wav2Vec In Database-Independent Voice Disorder Detection
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023 Automatic detection of voice disorders from acoustic speech signals can help to improve reliability of medical diagnosis. However, the real-life environment in which speech signals are recorded for diagnosis can be different from the environment in which
Saska Tirronen +4 more
semanticscholar +1 more source
Revista de Investigación e Innovación en Ciencias de la Salud, 2022 Introduction. Laryngeal disorders are characterized by a change in the vibratory pattern of the vocal folds. This disorder may have an organic origin described by anatomical fold modification, or a functional origin caused by vocal abuse or misuse.
Mateus Morikawa +2 more
doaj +1 more source
Applied Sciences, 2021 Although many quantitative parameters have been devised to describe abnormalities in vocal fold vibration, little is known about the priority of these parameters.
Akihito Yamauchi +4 more
doaj +1 more source