Abstract
The rapid growth of the Information Society is increasing the demand for technologies enabling access of multimedia data by content. An interesting example is given by the broadcasting companies and the content providers, which require today effective technologies to support the management and access of their huge audiovisual archives, both for internal use and public services. The Multilingual Natural Speech Technology lab at ITC-irst has been engaged for several years in developing core technologies suited for audio indexing and retrieval. In this paper, a news-on-demand experimental platform is presented which integrates several technologies in the area of spoken language processing and information retrieval. In particular, an overview of the whole system architecture will be given, together with a short description of the achieved state-of-the-art in each single technology.
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Bertoldi, N. et al. (2003). The ITC-irst News on Demand Platform. In: Sebastiani, F. (eds) Advances in Information Retrieval. ECIR 2003. Lecture Notes in Computer Science, vol 2633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36618-0_38
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DOI: https://doi.org/10.1007/3-540-36618-0_38
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