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An Enhanced Temporal Feature Integration Method for Environmental Sound Recognition

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Bountourakis, Vasileios
dc.contributor.author Vrysis, Lazaros
dc.contributor.author Konstantoudakis, Konstantinos
dc.contributor.author Vryzas, Nikolaos
dc.date.accessioned 2020-08-06T12:17:37Z
dc.date.available 2020-08-06T12:17:37Z
dc.date.issued 2019-05
dc.identifier.citation Bountourakis , V , Vrysis , L , Konstantoudakis , K & Vryzas , N 2019 , ' An Enhanced Temporal Feature Integration Method for Environmental Sound Recognition ' , Acoustics , vol. 1 , no. 2 , pp. 410-422 . https://doi.org/10.3390/acoustics1020023 en
dc.identifier.issn 2624-599X
dc.identifier.other PURE UUID: d7b81243-6656-4622-8d74-14033921fc92
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/d7b81243-6656-4622-8d74-14033921fc92
dc.identifier.other PURE LINK: https://www.mdpi.com/2624-599X/1/2/23
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/44061152/Bountourakis_Enhanced_temporal_feature_Acoustics.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/45596
dc.description.abstract Temporal feature integration refers to a set of strategies attempting to capture the information conveyed in the temporal evolution of the signal. It has been extensively applied in the context of semantic audio showing performance improvements against the standard frame-based audio classification methods. This paper investigates the potential of an enhanced temporal feature integration method to classify environmental sounds. The proposed method utilizes newly introduced integration functions that capture the texture window shape in combination with standard functions like mean and standard deviation in a classification scheme of 10 environmental sound classes. The results obtained from three classification algorithms exhibit an increase in recognition accuracy against a standard temporal integration with simple statistics, which reveals the discriminative ability of the new metrics en
dc.format.extent 410-422
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher MDPI AG
dc.relation.ispartofseries Acoustics en
dc.relation.ispartofseries Volume 1, issue 2 en
dc.rights openAccess en
dc.title An Enhanced Temporal Feature Integration Method for Environmental Sound Recognition en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Dept Signal Process and Acoust
dc.contributor.department Aristotle University of Thessaloniki
dc.contributor.department Technological Education Institute of Thessaloniki
dc.subject.keyword environmental sound recognition
dc.subject.keyword temporal feature integration
dc.subject.keyword statistical feature integration
dc.subject.keyword semantic audio analysis
dc.subject.keyword audio classification
dc.identifier.urn URN:NBN:fi:aalto-202008064555
dc.identifier.doi 10.3390/acoustics1020023
dc.type.version publishedVersion

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