Multilingual audio information management system based on semantic knowledge in complex environments
Published version
Peer-reviewed
Repository URI
Repository DOI
Change log
Authors
Abstract
jats:titleAbstract</jats:title>jats:pThis 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>
Description
Keywords
Journal Title
Conference Name
Journal ISSN
1433-3058
Volume Title
Publisher
Publisher DOI
Sponsorship
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)