Results 21 to 30 of about 114,871 (320)
Impact of simultaneous subthalamic and nigral stimulation on dysphagia in Parkinson’s disease
Annals of Clinical and Translational Neurology, 2020 Objectives Dysphagia is a frequent and highly relevant symptom in Parkinson's disease (PD) due to high associated morbidity and mortality. To compare the effect of simultaneous stimulation of the subthalamic nucleus (STN) and substantia nigra (SNr) with ...
Christina Pflug +14 more
doaj +1 more source
Risk Factors for Voice Disorders among Fado Singers: A Cross-Sectional Study
Journal of Otorhinolaryngology, Hearing and Balance Medicine, 2023 Fado is an urban Portuguese musical style rooted in popular culture. Previously found data suggests that Fado singers may have an increased risk of developing voice disorders.
Pedro Pestana +2 more
doaj +1 more source
Aquaculture, 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
I-vector Based Within Speaker Voice Quality Identification on connected speech [PDF]
arXiv, 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]
Journal 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
Multimodal Locomotion: Next Generation Aerial–Terrestrial Mobile Robotics
Advanced Intelligent Systems, EarlyView., 2023 Aerial–terrestrial robots can achieve efficient energy consumption and robust environmental interaction by adding morphological features, adapting forms for locomotion transitions, and integrating multiple platforms. This next generation of mobile robots advances real‐world robotic deployment for operations with complex tasks and tackle environments ...
Jane Pauline Ramirez, Salua Hamaza
wiley +1 more source
Machine-learning applied to classify flow-induced sound parameters from simulated human voice [PDF]
arXiv, 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
Understanding the nature of apraxia of speech: Theory, analysis, and treatment
Neuropsychological Trends, 2010 Researchers have interpreted the behaviours of individuals with acquired apraxia of speech (AOS) as impairment of linguistic phonological processing, motor control, or both.
Kirrie J. Ballard +2 more
doaj +1 more source
A Literature Review of Voice Indices Available for Voice Assessment [PDF]
Journal of Rehabilitation Sciences and Research, 2022 Background:Recent years have seen the development of voice indices for multi-parametric objective voice evaluation. The current study aims to review these indices and examine their efficiency through the literature.Methods: The study design is a ...
Saeed Saeedi +2 more
doaj +1 more source
Integration of Text and Graph-based Features for Detecting Mental Health Disorders from Voice [PDF]
arXiv, 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