Results 11 to 20 of about 239,181 (305)

CPPS and Voice-Source Parameters: Objective Analysis of the Singing Voice [PDF]

open access: yesJournal of Voice, 2022
In recent years cepstral analysis and specific cepstrum-based measures such as smoothed cepstral peak prominence (CPPS) has become increasingly researched and utilized in attempts to determine the extent of overall dysphonia in voice signals. Yet, few studies have extensively examined how specific voice-source parameters affect CPPS values.Using a ...
Calvin P Baker   +4 more
core   +4 more sources

BioVoice: A multipurpose tool for voice analysis [PDF]

open access: yesBiomedical Signal Processing and Control, 2021
Abstract Objective This paper introduces BioVoice, a user-friendly software tool for the acoustical analysis of the human voice. It estimates more than 20 acoustical parameters with advanced and robust analysis techniques specifically developed for different vocal emissions, from the newborn to the adult and the singer. Methods BioVoice performs
Morelli M. S., Orlandi S., Manfredi C.
openaire   +2 more sources

Acoustic features of voice in adults suffering from depression [PDF]

open access: yesPsihološka Istraživanja, 2022
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
doaj  

A Hybrid U-Lossian Deep Learning Network for Screening and Evaluating Parkinson’s Disease

open access: yesApplied Sciences, 2022
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
doaj   +1 more source

Voice Maps as a Tool for Understanding and Dealing with Variability in the Voice

open access: yesApplied Sciences, 2022
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
doaj   +1 more source

Speech Impairment in Parkinson’s Disease: Acoustic Analysis of Unvoiced Consonants in Italian Native Speakers

open access: yesIEEE Access, 2021
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
doaj   +1 more source

Detecting Effect of Levodopa in Parkinson’s Disease Patients Using Sustained Phonemes

open access: yesIEEE Journal of Translational Engineering in Health and Medicine, 2021
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
doaj   +1 more source

X-Vectors: New Quantitative Biomarkers for Early Parkinson's Disease Detection From Speech

open access: yesFrontiers in Neuroinformatics, 2021
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
doaj   +1 more source

Voice processing in dementia: a neuropsychological and neuroanatomical analysis. [PDF]

open access: yes, 2011
Voice processing in neurodegenerative disease is poorly understood. Here we undertook a systematic investigation of voice processing in a cohort of patients with clinical diagnoses representing two canonical dementia syndromes: temporal variant ...
Julia C. Hailstone   +13 more
core   +1 more source

Analysis of acoustic voice parameters for larynx pathology detection

open access: yesInformatika, 2020
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
doaj   +1 more source

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