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Themes and actions

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Team webmaster : François PELLEGRINO

Automatic audio document indexing

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Scientific framework and objectives

The availability of an increasing number of multimedia documents makes it necessary to develop efficient tools for automatic document indexing and mining. As for audio documents, it is indispensable that information be extracted automatically from the signal in order, for example, to allow indexing by search engines.


Current studies seek to highlight a number of audio descriptors (speech/music segmentation, speaker tracking, speaker segmentation, keyword extraction, etc.) and to design automatic and reliable methods to extract these descriptors from audio documents. We, at Dynamique Du Langage, more specifically focus on class tracking (speech, music, and speaker tracking) and speaker segmentation.

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  • Meignier, S., Bonastre, J.F., Magrin-Chagnolleau, I., 2002, "Speaker Utterances Tying Among Speaker Segmented Audio Documents Using Hierarchical Classification: Towards Speaker Indexing of Audio Documents", proc. of ICSLP 2002, Denver, Etats-Unis, Septembre 2002
  • Meignier, S., Bonastre, J.F., Magrin-Chagnolleau, I., 2002, "Speaker Utterances tying among speaker segmented audio documents using hierarchical classification: towards speaker indexing of audio databases", proc. of ICSLP 2002, Denver, USA, September 2002, ISCA, pp. 577-580
  • Moraru, D., Meignier, S., Besacier, L., Bonastre, J.F., Magrin-Chagnolleau, I., 2003, "The ELISA consortium Approaches in Speaker Segmentation during the NIST 2002 Speaker Recognition Evaluation", proc. of IEEE ICASSP 2003, Hong-Kong, April 2003, IEEE, pp. 4
  • Parlangeau-Vallès, N., Farinas, J., Fohr, D., Illina, I., Magrin-Chagnolleau, I., Mella, O., Pellegrino, F., Pinquier, J., Sénac, C., Smaili, K., 2003, "Audio Indexing On the Web: A Preliminary Study Of Some Audio Descriptors", proc. of 7th World Multiconference on Systemics, Cybernetics and Informatics, Orlando, FA, USA, July 27 - 30, 2003, pp. 4

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