Sébastien Gulluni

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The article presents methods for sound search in large effects or instrument sound databases by interactive content-based navigation in a space of descriptors and categories, based on the principle of real-time corpus-based concatenat-ive synthesis. We focus on three algorithms: fast similarity-based search by a kD-tree in the high-dimensional descriptor(More)
This paper, presents an interactive approach for the analysis of electro-acoustic music. An original classification scheme is devised using relevance feedback and active-learning segment selection in an interactive loop. Validation and correction information given by the user is injected in the learning process at each iteration to achieve more accurate(More)
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