Connectogram - A graph-based time dependent representation for sounds

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dc.contributor.authorTurker, Ilker
dc.contributor.authorAksu, Serkan
dc.date.accessioned2024-09-29T15:54:56Z
dc.date.available2024-09-29T15:54:56Z
dc.date.issued2022
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThe proposed method contributes the time-series classification literature with a novel time-convexity based representation, which extends the current graph conversion approaches by introducing the time dimension, also introducing a colorful graph-generator approach. The representation capability of connectograms is tested in comparison with mel-spectrograms (mels) and MFCCs for an environmental sound classification task, as input to state-of-art transfer learning models. Results indicate that connectograms cannot compete with the best-performer mel-spectrogram representations in standalone format, however they significantly improve their classification performance in case they are combined as single layers of hybrid RGB representations. A combination of [mels + mels + connectogram] outperforms either sole representations or their combinations by 2-3%, with 96.46% classification accuracy for ResNet50 classifier model.(c) 2022 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.apacoust.2022.108660
dc.identifier.issn0003-682X
dc.identifier.issn1872-910X
dc.identifier.scopus2-s2.0-85124610723en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.apacoust.2022.108660
dc.identifier.urihttps://hdl.handle.net/20.500.14619/4373
dc.identifier.volume191en_US
dc.identifier.wosWOS:000783173100007en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofApplied Acousticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGraph representationen_US
dc.subjectSound classificationen_US
dc.subjectTime-series classificationen_US
dc.subjectComplex networksen_US
dc.subjectDeep learningen_US
dc.subjectMachine learningen_US
dc.titleConnectogram - A graph-based time dependent representation for soundsen_US
dc.typeArticleen_US

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