Matches in SemOpenAlex for { <https://semopenalex.org/work/W4367181978> ?p ?o ?g. }
- W4367181978 endingPage "531" @default.
- W4367181978 startingPage "531" @default.
- W4367181978 abstract "Parkinson's disease is a progressive neurodegenerative disorder caused by dopaminergic neuron degeneration. Parkinsonian speech impairment is one of the earliest presentations of the disease and, along with tremor, is suitable for pre-diagnosis. It is defined by hypokinetic dysarthria and accounts for respiratory, phonatory, articulatory, and prosodic manifestations. The topic of this article targets artificial-intelligence-based identification of Parkinson's disease from continuous speech recorded in a noisy environment. The novelty of this work is twofold. First, the proposed assessment workflow performed speech analysis on samples of continuous speech. Second, we analyzed and quantified Wiener filter applicability for speech denoising in the context of Parkinsonian speech identification. We argue that the Parkinsonian features of loudness, intonation, phonation, prosody, and articulation are contained in the speech, speech energy, and Mel spectrograms. Thus, the proposed workflow follows a feature-based speech assessment to determine the feature variation ranges, followed by speech classification using convolutional neural networks. We report the best classification accuracies of 96% on speech energy, 93% on speech, and 92% on Mel spectrograms. We conclude that the Wiener filter improves both feature-based analysis and convolutional-neural-network-based classification performances." @default.
- W4367181978 created "2023-04-28" @default.
- W4367181978 creator A5017611763 @default.
- W4367181978 creator A5023823323 @default.
- W4367181978 creator A5031323885 @default.
- W4367181978 creator A5038002226 @default.
- W4367181978 creator A5048119758 @default.
- W4367181978 creator A5063122100 @default.
- W4367181978 creator A5064518648 @default.
- W4367181978 creator A5076531917 @default.
- W4367181978 creator A5084965488 @default.
- W4367181978 date "2023-04-26" @default.
- W4367181978 modified "2023-10-10" @default.
- W4367181978 title "CNN-Based Identification of Parkinson’s Disease from Continuous Speech in Noisy Environments" @default.
- W4367181978 cites W1968573968 @default.
- W4367181978 cites W1979721417 @default.
- W4367181978 cites W1999799863 @default.
- W4367181978 cites W2016125416 @default.
- W4367181978 cites W2022357919 @default.
- W4367181978 cites W2043538284 @default.
- W4367181978 cites W2062666762 @default.
- W4367181978 cites W2122569913 @default.
- W4367181978 cites W2122835755 @default.
- W4367181978 cites W2125173790 @default.
- W4367181978 cites W2146028383 @default.
- W4367181978 cites W2165663679 @default.
- W4367181978 cites W2170517798 @default.
- W4367181978 cites W2263116838 @default.
- W4367181978 cites W2298367083 @default.
- W4367181978 cites W2360958417 @default.
- W4367181978 cites W2498293651 @default.
- W4367181978 cites W2504233954 @default.
- W4367181978 cites W2514744062 @default.
- W4367181978 cites W2531409750 @default.
- W4367181978 cites W254692632 @default.
- W4367181978 cites W2550230821 @default.
- W4367181978 cites W2555072262 @default.
- W4367181978 cites W2573056035 @default.
- W4367181978 cites W2584311212 @default.
- W4367181978 cites W2594894191 @default.
- W4367181978 cites W2746935568 @default.
- W4367181978 cites W2762852562 @default.
- W4367181978 cites W2765668343 @default.
- W4367181978 cites W2791185032 @default.
- W4367181978 cites W2811255424 @default.
- W4367181978 cites W2889908612 @default.
- W4367181978 cites W2901519529 @default.
- W4367181978 cites W2942721980 @default.
- W4367181978 cites W2945932771 @default.
- W4367181978 cites W2989382520 @default.
- W4367181978 cites W2990489528 @default.
- W4367181978 cites W3042050487 @default.
- W4367181978 cites W3082165882 @default.
- W4367181978 cites W3082401322 @default.
- W4367181978 cites W3111611403 @default.
- W4367181978 cites W3114637180 @default.
- W4367181978 cites W3158205601 @default.
- W4367181978 cites W3158559908 @default.
- W4367181978 cites W3160050674 @default.
- W4367181978 cites W3170071523 @default.
- W4367181978 cites W3187853192 @default.
- W4367181978 cites W3194730353 @default.
- W4367181978 cites W3197304313 @default.
- W4367181978 cites W4214624336 @default.
- W4367181978 cites W4224319671 @default.
- W4367181978 cites W4226209810 @default.
- W4367181978 cites W4234019455 @default.
- W4367181978 cites W4246737281 @default.
- W4367181978 cites W4293252911 @default.
- W4367181978 cites W4309311518 @default.
- W4367181978 cites W4313525344 @default.
- W4367181978 doi "https://doi.org/10.3390/bioengineering10050531" @default.
- W4367181978 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37237601" @default.
- W4367181978 hasPublicationYear "2023" @default.
- W4367181978 type Work @default.
- W4367181978 citedByCount "2" @default.
- W4367181978 countsByYear W43671819782023 @default.
- W4367181978 crossrefType "journal-article" @default.
- W4367181978 hasAuthorship W4367181978A5017611763 @default.
- W4367181978 hasAuthorship W4367181978A5023823323 @default.
- W4367181978 hasAuthorship W4367181978A5031323885 @default.
- W4367181978 hasAuthorship W4367181978A5038002226 @default.
- W4367181978 hasAuthorship W4367181978A5048119758 @default.
- W4367181978 hasAuthorship W4367181978A5063122100 @default.
- W4367181978 hasAuthorship W4367181978A5064518648 @default.
- W4367181978 hasAuthorship W4367181978A5076531917 @default.
- W4367181978 hasAuthorship W4367181978A5084965488 @default.
- W4367181978 hasBestOaLocation W43671819781 @default.
- W4367181978 hasConcept C138885662 @default.
- W4367181978 hasConcept C154945302 @default.
- W4367181978 hasConcept C173988693 @default.
- W4367181978 hasConcept C2776401178 @default.
- W4367181978 hasConcept C2777639682 @default.
- W4367181978 hasConcept C2779642007 @default.
- W4367181978 hasConcept C28490314 @default.
- W4367181978 hasConcept C41008148 @default.
- W4367181978 hasConcept C41895202 @default.
- W4367181978 hasConcept C45273575 @default.