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dc.contributor.authorLopez-de-Ipina, Karmele
dc.contributor.authorBarroso, Nora
dc.contributor.authorCalvo, Pilar M
dc.contributor.authorHernandez, Carmen
dc.contributor.authorEzeiza, Aitzol
dc.contributor.authorSusperregi, Unai
dc.contributor.authorFernández, Elsa
dc.date.accessioned2021-02-02T17:14:00Z
dc.date.available2021-02-02T17:14:00Z
dc.date.issued2020-12
dc.date.submitted2019-04-15
dc.identifier.issn0941-0643
dc.identifier.others00521-019-04618-7
dc.identifier.other4618
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/317022
dc.description.abstract<jats:title>Abstract</jats:title><jats:p>This paper proposes a multilingual audio information management system based on semantic knowledge in complex environments. The complex environment is defined by the limited resources (financial, material, human, and audio resources); the poor quality of the audio signal taken from an internet radio channel; the multilingual context (Spanish, French, and Basque that is in under-resourced situation in some areas); and the regular appearance of cross-lingual elements between the three languages. In addition to this, the system is also constrained by the requirements of the local multilingual industrial sector. We present the first evolutionary system based on a scalable architecture that is able to fulfill these specifications with automatic adaptation based on automatic semantic speech recognition, folksonomies, automatic configuration selection, machine learning, neural computing methodologies, and collaborative networks. As a result, it can be said that the initial goals have been accomplished and the usability of the final application has been tested successfully, even with non-experienced users.</jats:p>
dc.languageen
dc.publisherSpringer Science and Business Media LLC
dc.rightsAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectDeveloping Nature-Inspired Intelligence by Neural Systems
dc.subjectEvolutionary computing
dc.subjectArtificial neural networks
dc.subjectInternet information management
dc.subjectManagement of complex systems
dc.titleMultilingual audio information management system based on semantic knowledge in complex environments
dc.typeArticle
dc.date.updated2021-02-02T17:14:00Z
prism.endingPage17886
prism.issueIdentifier24
prism.publicationNameNeural Computing and Applications
prism.startingPage17869
prism.volume32
dc.identifier.doi10.17863/CAM.64133
dcterms.dateAccepted2019-11-22
rioxxterms.versionofrecord10.1007/s00521-019-04618-7
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
dc.identifier.eissn1433-3058
pubs.funder-project-idEuskal Herriko Unibertsitatea (EHU14/58)
pubs.funder-project-idEuropean Cooperation in Science and Technology (CA12255, CA18106)
pubs.funder-project-idEusko Jaurlaritza (ELKARTEK program (MALGUROB), Ikertaldeak)
pubs.funder-project-idSecretaría de Estado de Investigación, Desarrollo e Innovación (Programa Marco)
pubs.funder-project-idUPV/EHU (Ikertaldeak, Sbatikoa/Mugikortasuna)
cam.issuedOnline2020-02-03


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)