Audio Indexing on the Web: A Preliminary Study of Some Audio Descriptors
The "Invisible Web" is composed of documents which can not be currently accessed by Web search engines, because they have a dynamic URL or are not textual, like video or audio documents. For audio documents, one solution is automatic indexing. It consists in finding good descriptors of audio documents which can be used as indexes for archiving and search. This paper presents an overview and recent results of the RAIVES project, a French research project on audio indexing. We present speech/music segmentation, speaker tracking, and keywords detection. We also give a few perspectives of the RAIVES project.
Nathalie Vallès-Parlangeau, Jérôme Farinas, Dominique Fohr, Irina Illina, Ivan Magrin-Chagnolleau, et al.. Audio Indexing on the Web: a Preliminary Study of Some Audio Descriptors. 7th World Multiconference on Systematics, Cybernetics and Informatics (SCI 2003), Jul 2003, Orlando, Florida, United States. pp.1-4. ⟨inria-00107706⟩
International Institute of Informatics and Systemics