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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References
N. Bertoldi, F. Brugnara, M. Cettolo, M. Federico, and D. Giuliani. From broadcast news to spontaneous dialogue transcription: Portability issues. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Salt Lake City, UT, 2001.
N. Bertoldi and M. Federico. ITC-irst at CLEF 2000: Italian monolingual track. In C. Peters, editor, Cross-Language Information Retrieval and Evaluation, volume 2069 of Lecture Notes in Computer Science, pages 261–272, Heidelberg, Germany, 2001. Springer Verlag.
S. S. Chen and P. S. Gopalakrishnan. Speaker, environment and channel change detection and clustering via the Bayesian Information Criterion. In Proceedings of the DARPA Broadcast News Transcr. & Understanding Workshop, Lansdowne, VA, 1998.
R. De Mori, editor. Spoken Dialogues with Computers. Academy Press, London, UK, 1998.
M. Federico and N. Bertoldi. Broadcast news LM adaptation using contemporary texts. In Proceedings of the European Conference on Speech Communication and Technology, Aalborg, Denmark, 2001.
M. Federico and N. Bertoldi. Statistical cross-language information retrieval using n-best query translations. In Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 167–174, Tampere, Finland, 2002.
M. Federico, N. Bertoldi, and V. Sandrini. Bootstrapping named entity recognition for Italian broadcast news. In Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP), Philadelphia, PA, July 2002.
S. Furui, K. Ohtsuki, and Z.-P. Zhang. Japanese broadcast news transcription and information extraction. Communications of the ACM, 43(2):71–73, 2000.
J.-L. Gauvain, L. Lamel, and G. Adda. Transcribing broadcast news for audio and video indexing. Communications of the ACM, 43(2):64–70, 2000.
A. G. Hauptmann and M. J. Witbrock. Informedia news on demand: Multimedia information acquisition and retrieval. In M. T. Maybury, editor, Intelligent Multimedia Information Retrieval. AAAI Press/MIT Press, Menlo Park, CA, 1997.
F. Kubala, S. Colbath, D. Liu, A. Srivastava, and J. Makhoul. Integrated technologies for indexing spoken language. Communications of the ACM, 43(2):48–56, 2000.
The SRI Maestro Team. MAESTRO: Conductor of Multimedia Analysis Technologies. Communications of the ACM, 43(2):57–63, 2000.
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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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