A real-time synthesis engine that models and predicts the timbre of acoustic instruments based on perceptual features is presented. The timbre characteristics and the mapping between control and timbre parameters are inferred from recorded musical data. In the synthesis step, timbre data is predicted based on new control data enabling applications such as synthesis and cross-synthesis of acoust...

This contribution deals with the problem of blind channel identi cation and equalization based on the (temporally or spatially) oversampled channel output. A novel algorithm is presented which builds on a multistep prediction (MSP) approach and can be viewed as a certain generalization of the initial Linear Prediction Algorithm (LPA) proposed in 1994. Our algorithm improves on most recent relat...

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We introduce a novel algorithm for automatically generating rhythms in real time in a certain meter. The generated rhythms are "generic" in the sense that they are characteristic of each time signature without belonging to a specific musical style. The algorithm is based on a stochastic model in which various aspects and qualities of the generated rhythm can be controlled intuitively and in rea...

The aim of this paper is the study of a covering of a max-mingeneral fuzzy automaton by another, admissible relations, admissiblepartitions of a max-min general fuzzy automaton,$tilde{delta}$-orthogonality of admissible partitions, irreduciblemax-min general fuzzy automata. Then we obtain the relationshipsbetween them.