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)
In this paper, we present an interactive approach for the classification of sound objects in electro-acoustic music. For this purpose, we use relevance feedback combined with 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(More)
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