Multilingual audio information management system based on semantic knowledge in complex environments
Authors
Lopez-de-Ipina, Karmele
Barroso, Nora
Calvo, Pilar M
Hernandez, Carmen
Ezeiza, Aitzol
Susperregi, Unai
Fernández, Elsa
Publication Date
2020-12Journal Title
Neural Computing and Applications
ISSN
0941-0643
Publisher
Springer Science and Business Media LLC
Volume
32
Issue
24
Pages
17869-17886
Language
en
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Lopez-de-Ipina, K., Barroso, N., Calvo, P. M., Hernandez, C., Ezeiza, A., Susperregi, U., & Fernández, E. (2020). Multilingual audio information management system based on semantic knowledge in complex environments. Neural Computing and Applications, 32 (24), 17869-17886. https://doi.org/10.1007/s00521-019-04618-7
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>
Keywords
Developing Nature-Inspired Intelligence by Neural Systems, Evolutionary computing, Artificial neural networks, Internet information management, Management of complex systems
Sponsorship
Euskal Herriko Unibertsitatea (EHU14/58)
European Cooperation in Science and Technology (CA12255, CA18106)
Eusko Jaurlaritza (ELKARTEK program (MALGUROB), Ikertaldeak)
Secretaría de Estado de Investigación, Desarrollo e Innovación (Programa Marco)
UPV/EHU (Ikertaldeak, Sbatikoa/Mugikortasuna)
Identifiers
s00521-019-04618-7, 4618
External DOI: https://doi.org/10.1007/s00521-019-04618-7
This record's URL: https://www.repository.cam.ac.uk/handle/1810/317022
Rights
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/
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