Results 321 to 330 of about 3,800,595 (386)
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Voice disorder in patients with Fibromyalgia
Auris Nasus Larynx, 2013To investigate several perceptual, acoustic and aerodynamic voice evaluation parameters in Fibromyalgia patients.A total number of 30 Fibromyalgia patients had voice evaluations by means of laryngostroboscopy, acoustic analysis (jitter, shimmer, and harmonic to noise ratio), aerodynamic measurements (maximum phonation time, s/z ratio), and perceptual ...
Gurbuzler, Levent +5 more
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Diagnosing Voice Disorder with Machine Learning
2018 IEEE International Conference on Big Data (Big Data), 2018The goal of this study is to build an effective model to identify the types of voice disorder, include Normal, Neoplas, Phonotrauma and Vocal palsy, from FEMH dataset.
Minh Pham, Jing Lin, Yanjia Zhang
semanticscholar +1 more source
Smart Healthcare Analysis and Therapy for Voice Disorder using Cloud and Edge Computing
International Conference on Applied and Theoretical Computing and Communication Technology, 2018Currently, huge quantity of services are extended on the edge of the network from cloud in consideration transforming knowledge at the edge can decrease feedback time and diminished bandwidth cost for operations for instance healthcare in smart homes ...
Chandrasekhara Reddy T +2 more
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The incidence of voice disorders
European Archives of Oto-Rhino-Laryngology, 1990This report summarizes the log book for patients with voice disorders treated at Washington University in St. Louis between 1984 and 1988. Our experience with these 764 patients is expressed as the number of visits for each problem type.
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Learning Strategies for Voice Disorder Detection
International Computer Science Conference, 2019Voice disorder is a health issue that is frequently encountered, however, many patients either cannot afford to visit a professional doctor or neglect to take good care of their voice.
Hongzhao Guan, Alexander Lerch
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2014
A significant number of children and adults experience problems with the production of voice or phonation which compromise their effectiveness as communicators. Many voice disorders or dysphonias have an identifiable organic aetiology. This may take the form of benign growths known as vocal nodules, which are related to sustained vocal abuse ...
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A significant number of children and adults experience problems with the production of voice or phonation which compromise their effectiveness as communicators. Many voice disorders or dysphonias have an identifiable organic aetiology. This may take the form of benign growths known as vocal nodules, which are related to sustained vocal abuse ...
openaire +2 more sources
Chaos, 2018
This work summarizes the research related to digital speech signal processing with recurrence quantification analysis (RQA) applied to voice disorder assessment.
V. Vieira +5 more
semanticscholar +1 more source
This work summarizes the research related to digital speech signal processing with recurrence quantification analysis (RQA) applied to voice disorder assessment.
V. Vieira +5 more
semanticscholar +1 more source
The Voice in Movement Disorders
2020The evaluation of the voice offers powerful clues to the diagnosis of patients with movement disorders. Careful attention to the examination of the voice may reveal unexpected findings that can alter the diagnosis and management in the clinic.
Steven J. Frucht, Pichet Termsarasab
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2019
The basic principles for the prevention of dysphonia are avoidance of vocal overload, elimination of voice abuse and physiological voice production. The importance of evaluation of the prodromal symptoms and the influence of medication on voice production are also stressed.
Antoni Pruszewicz +2 more
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The basic principles for the prevention of dysphonia are avoidance of vocal overload, elimination of voice abuse and physiological voice production. The importance of evaluation of the prodromal symptoms and the influence of medication on voice production are also stressed.
Antoni Pruszewicz +2 more
openaire +2 more sources
Voice disorder classification using speech enhancement and deep learning models
Biocybernetics and Biomedical Engineering, 2022Mounira Chaiani +3 more
semanticscholar +1 more source

