Results 41 to 50 of about 3,448,535 (370)

I-vector Based Within Speaker Voice Quality Identification on connected speech [PDF]

open access: yesarXiv, 2021
Voice disorders affect a large portion of the population, especially heavy voice users such as teachers or call-center workers. Most voice disorders can be treated effectively with behavioral voice therapy, which teaches patients to replace problematic, habituated voice production mechanics with optimal voice production technique(s), yielding improved ...
arxiv  

Voice Disorders: Etiology and Diagnosis [PDF]

open access: yesJournal of Voice, 2016
Voice disorders affect adults and children and have different causes in different age groups. The aim of the study is to present the etiology and diagnosis dysphonia in a large population of patients with this voice disorder.for dysphonia of a large population of dysphonic patients.We evaluated 2019 patients with dysphonia who attended the Voice ...
Regina Helena Garcia Martins   +5 more
openaire   +3 more sources

An Automatic Health Monitoring System for Patients Suffering From Voice Complications in Smart Cities

open access: yesIEEE Access, 2017
Current evolutions in the Internet of Things and cloud computing make it believable to build smart cities and homes. Smart cities provide smart technologies to residents for the improved and healthier life, where smart healthcare systems cannot be ...
Zulfiqar Ali   +2 more
doaj   +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

Machine-learning applied to classify flow-induced sound parameters from simulated human voice [PDF]

open access: yesarXiv, 2022
Disorders of voice production have severe effects on the quality of life of the affected individuals. A simulation approach is used to investigate the cause-effect chain in voice production showing typical characteristics of voice such as sub-glottal pressure and of functional voice disorders as glottal closure insufficiency and left-right asymmetry ...
arxiv  

The multifactorial aquaculture‐related COVID‐19 shock in Benin, West Africa: A socio‐economic perspective of mitigating the disruptive impacts on the small‐scale and subsistence producers

open access: yesAquaculture, Fish and Fisheries, Volume 2, Issue 6, Page 507-521, December 2022., 2022
Graphical Abstract This study deals with a timely topic, COVID‐19, whose impacts on aquaculture have never been quantified in Benin. Direct discussions were held with aquaculture producers to understand how they are feeling the impact of the pandemic on their business.
Toundji Olivier Amoussou   +7 more
wiley   +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

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

Integration of Text and Graph-based Features for Detecting Mental Health Disorders from Voice [PDF]

open access: yesarXiv, 2022
With the availability of voice-enabled devices such as smart phones, mental health disorders could be detected and treated earlier, particularly post-pandemic. The current methods involve extracting features directly from audio signals. In this paper, two methods are used to enrich voice analysis for depression detection: graph transformation of voice ...
arxiv  

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

Home - About - Disclaimer - Privacy