Results 41 to 50 of about 3,449,855 (345)

Investigation of Voice Disorder Symptoms and their Effects on the Job Performance of Elementary School Teachers [PDF]

open access: yesJournal of Health Sciences and Surveillance System, 2019
Background: Teachers are prone to Voice Disorder (VD). The present study aims to investigate the onset of VD symptoms and their effects on the job performance of the elementary school teachers.
Vahid Gharibi   +4 more
doaj   +1 more source

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

open access: yes2018 IEEE International Conference on Big Data (Big Data), 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.
Tomasz Grzywalski   +10 more
semanticscholar   +1 more source

Automatic Speech and Voice Disorder Detection Using Deep Learning—A Systematic Literature Review

open access: yesIEEE Access
Speech and voice disorders are highly prevalent and a significant concern, particularly among children. These disorders have a notable impact on individual’s personalities, academic performance and overall development. Early detection and intervention of
I. Sindhu, M. Sainin
semanticscholar   +1 more source

Leveraging Artificial Intelligence to Improve Voice Disorder Identification Through the Use of a Reliable Mobile App

open access: yesIEEE Access, 2019
The evolution of the Internet of Things, cloud computing and wireless communication has contributed to an advance in the interconnectivity, efficiency and data accessibility in smart cities, improving environmental sustainability, quality of life and ...
Laura Verde   +5 more
semanticscholar   +1 more source

Meta-analysis of voice disorders databases and applied machine learning techniques

open access: yesMathematical Biosciences and Engineering, 2020
Background and ObjectiveVoice disorders are pathological conditions that directly affect voice production. Computer based diagnosis may play a major role in the early detection and in tracking and even development of efficient pathological speech ...
Sidra Abid Syed   +2 more
doaj   +1 more source

Voice Disorder Identification by Using Machine Learning Techniques

open access: yesIEEE Access, 2018
Nowadays, the use of mobile devices in the healthcare sector is increasing significantly. Mobile technologies offer not only forms of communication for multimedia content (e.g. clinical audio-visual notes and medical records) but also promising solutions
Laura Verde   +2 more
semanticscholar   +1 more source

Multi-Scale Recurrence Quantification Measurements for Voice Disorder Detection

open access: yesApplied Sciences, 2022
Due to the complexity and non-stationarity of the voice generation system, the nonlinearity of speech signals cannot be accurately quantified. Recently, the recurrence quantification analysis method has been used for voice disorder detection.
Xin-Cheng Zhu   +4 more
doaj   +1 more source

Seeking the recognition of voice disorder as work-related disease: historical-political movement.

open access: yesCiência & Saúde Coletiva, 2019
The high prevalence of voice disorders among professionals who use their voice as a working tool, signals the existence of a collective illness caused by voice wear through poor working conditions and lack of social protection. This article describes the
Maria Lucia Vaz Masson   +4 more
semanticscholar   +1 more source

Psychogenic voice disorders

open access: yesOtolaryngologia Polska, 2018
Introduction. Voice express the psyche and personality of a person. Psychogenic dysphonia is called Phononeurosis. Neurosis, depression or family, occupational and social conflicts are the cause of voice disturbances. The most frequent type of dysphonia is hyperfunctional dysphonia, rarer – hypofunctional type. Aim.
Diana Moskal   +6 more
openaire   +2 more sources

Evaluation, treatment, and analysis of a rare case of motor speech systems dyscoordination syndrome

open access: yesCogent Medicine, 2017
This report describes an unusual presentation of a voice disorder arising from inability to coordinate the three components of motor speech: respiration, phonation, and articulation. These systems were individually intact, as demonstrated by laryngoscopy,
Diana Van Lancker Sidtis, John J. Sidtis
doaj   +1 more source

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