Finding Songs That Sound the Same
نویسندگان
چکیده
A crucial dimension of Content-based music management systems is their ability to compute automatically similarities between music titles. We propose a technique that allows users to find music titles that sound similar to songs they like. The technique relies on a modelling of the timbral characteristics of a music signal by distributions of Cepstrum coefficients. The resulting models are then compared to yield a similarity measure. The paper describes the algorithm, and proposes an evaluation of the quality of the extracted similarity measure. Additionally, we illustrate the use of this measure in two Electronic Music Distribution applications developed in the context of the European project Cuidado.
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