Multilingual audio information management system based on semantic knowledge in complex environments
dc.contributor.author | López de Ipiña Peña, Miren Karmele | |
dc.contributor.author | Barroso Moreno, Nora | |
dc.contributor.author | Calvo Salomón, Pilar María | |
dc.contributor.author | Hernández Gómez, María del Carmen | |
dc.contributor.author | Ezeiza Ramos, Aitzol | |
dc.contributor.author | Susperregui Aseguinolaza, Unai | |
dc.contributor.author | Fernández Gómez de Segura, Elsa | |
dc.date.accessioned | 2021-08-10T11:24:08Z | |
dc.date.available | 2021-08-10T11:24:08Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Neural Computing & Applications 32(24) : 17869-17886 (2020) Número especial | es_ES |
dc.identifier.issn | 0941-0643 | |
dc.identifier.issn | 1433-3058 | |
dc.identifier.uri | http://hdl.handle.net/10810/52812 | |
dc.description.abstract | 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. | es_ES |
dc.description.sponsorship | This work is being funded by Grants: TEC201677791-C4 from Plan Nacional de I + D + i, Ministry of Economic Affairs and Competitiveness of Spain and from the DomusVi Foundation Kms para recorder, the Basque Government (ELKARTEK KK-2018/00114, GEJ IT1189-19, the Government of Gipuzkoa (DG18/14 DG17/16), UPV/EHU (GIU19/090), COST ACTION (CA18106, CA15225). | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Springer | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | computing | es_ES |
dc.subject | artificial neural networks | es_ES |
dc.subject | internet information management | es_ES |
dc.subject | management of complex systems | es_ES |
dc.subject | speech recognition | es_ES |
dc.subject | broadcast news | es_ES |
dc.subject | models | es_ES |
dc.title | Multilingual audio information management system based on semantic knowledge in complex environments | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | es_ES |
dc.rights.holder | Atribución 3.0 España | * |
dc.relation.publisherversion | https://link.springer.com/article/10.1007%2Fs00521-019-04618-7 | es_ES |
dc.identifier.doi | 10.1007/s00521-019-04618-7 | |
dc.departamentoes | Arquitectura y Tecnología de Computadores | es_ES |
dc.departamentoes | Ciencia de la computación e inteligencia artificial | es_ES |
dc.departamentoes | Ingeniería de sistemas y automática | es_ES |
dc.departamentoeu | Konputagailuen Arkitektura eta Teknologia | es_ES |
dc.departamentoeu | Konputazio zientziak eta adimen artifiziala | es_ES |
dc.departamentoeu | Sistemen ingeniaritza eta automatika | es_ES |
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