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Cluster-Weighted Sampling for Synthesis and Cross-Synthesis of Violin Family Instruments

A digital model of a violin/cello is presented that computes violin sounds in real time given gesture input from a violinist. The model is derived from recorded data using clusterweighted sampling, a probabilistic inference technique based on kernel density estimation and wavetable synthesis. Novel interface technology is presented that records gesture input of acoustic instruments and also serves as a standalone controller for digital sound engines.