Results 11 to 20 of about 1,635,162 (301)
Acoustic features of voice in adults suffering from depression [PDF]
In order to examine the differences in people suffering from depression (EG, N=18) compared to the healthy controls (CG1, N=24) and people with the diagnosed psychogenic voice disorder (CG2, N=9), nine acoustic features of voice were assessed among the ...
Calić Gordana +3 more
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A Hybrid U-Lossian Deep Learning Network for Screening and Evaluating Parkinson’s Disease
Speech impairment analysis and processing technologies have evolved substantially in recent years, and the use of voice as a biomarker has gained popularity.
Rytis Maskeliūnas +5 more
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Voice Maps as a Tool for Understanding and Dealing with Variability in the Voice
Individual acoustic and other physical metrics of vocal status have long struggled to prove their worth as clinical evidence. While combinations of metrics or “features” are now being intensely explored using data analytics methods, there is a risk that ...
Sten Ternström, Peter Pabon
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The study of the influence of Parkinson’s Disease (PD) on vocal signals has received much attention over the last decades. Increasing interest has been devoted to articulation and acoustic characterization of different phonemes.
Federica Amato +5 more
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Detecting Effect of Levodopa in Parkinson’s Disease Patients Using Sustained Phonemes
Background: Parkinson’s disease (PD) is a multi-symptom neurodegenerative disease generally managed with medications, of which levodopa is the most effective. Determining the dosage of levodopa requires regular meetings where motor function can be
Nemuel D. Pah +3 more
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Analysis and Transformation of Voice Level in Singing Voice
Submitted to ICASSP ...
Bous, Frederik, Roebel, Axel
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Fatigue estimation using voice analysis [PDF]
In the present article, we present a means to remotely and transparently estimate an individual's level of fatigue by quantifying changes in his or her voice characteristics. Using Voice analysis to estimate fatigue is unique from established cognitive measures in a number of ways: (1) speaking is a natural activity requiring no initial training or ...
Harold P, Greeley +7 more
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X-Vectors: New Quantitative Biomarkers for Early Parkinson's Disease Detection From Speech
Many articles have used voice analysis to detect Parkinson's disease (PD), but few have focused on the early stages of the disease and the gender effect.
Laetitia Jeancolas +13 more
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Analysis of acoustic voice parameters for larynx pathology detection
The comparative study of two types of voice signal representation for larynx pathology detection is presented. Parameters obtained in clinical system lingWaves compared to parameters obtained by mel-frequency cepstral analysis.
M. I. Vashkevich +3 more
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Pediatric Voice Analysis [PDF]
This research contributes to the pediatric objective voice measurement database while identifying comparable measurements between 2 available voice analysis systems.To compare selective normative pediatric acoustic variables between the Multi-Dimensional Voice Program (MDVP) and the Voice Evaluation Suite (VES) computerized voice analysis systems ...
Joseph, Rohrer +5 more
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