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The characteristics of vocal segments in music are an important cue for automatic, content-based music recommendation, especially in the urban genre. In this paper, we investigate the classification of audio segments into singing and rap, using low-level acoustic features and a Bayesian classifier. GMMs are used as parametric clustering method to describe the distribution of the training data. Different...
In the field of computer music, pattern recognition algorithms are very relevant for music information retrieval applications. One challenging task in this area is the automatic recognition of musical style, having a number of applications like indexing and selecting musical databases. From melodies symbolically represented as digital scores (standard musical instrument digital interface files), a...
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