Residual Neural Network precisely quantifies dysarthria severity-level based on short-duration speech segments

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dc.contributor.affiliationPatil, Hemant A
dc.contributor.authorGupta, Siddhant
dc.contributor.authorPatil, Ankur T
dc.contributor.authorPurohit, Mirali
dc.contributor.authorPatel, Maitreya
dc.contributor.authorPatil, Hemant A,
dc.contributor.authorGuido, Rodrigo Capobianco
dc.contributor.researcherGupta, Siddhant (201911007)
dc.contributor.researcherPatil, Ankur T (201621008)
dc.contributor.researcherPurohit, Mirali (201811067)
dc.contributor.researcherPatel, Maitreya (201601160)
dc.date.accessioned2025-08-01T13:09:01Z
dc.date.issued01-07-2021
dc.format.extent105-117
dc.identifier.citationSiddhant Gupta, Ankur T. Patil, Mirali Purohit, Maitreya Patel, Patil, Hemant A,, and Rodrigo Capobianco Guido,"Residual Neural Network precisely quantifies dysarthria severity-level based on short-duration speech segments," Neural Networks, Elsevier, vol. 139,pp. 105-117, Jul. 2021. doi:10.1016/j.neunet.2021.02.008.
dc.identifier.doihttps://doi.org/10.1016/j.neunet.2021.02.008
dc.identifier.issn0893-6080
dc.identifier.scopus2-s2.0-85102061061
dc.identifier.urihttps://ir.daiict.ac.in/handle/dau.ir/1556
dc.identifier.wosWOS:000652750100009
dc.publisherElsevier
dc.relation.ispartofseriesVol. 139; No.
dc.source Neural Networks
dc.source.urihttps://www.sciencedirect.com/science/article/pii/S0893608021000502?via%3Dihub
dc.titleResidual Neural Network precisely quantifies dysarthria severity-level based on short-duration speech segments

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