Titlebook: Computer Music Modeling and Retrieval; International Sympos Uffe Kock Wiil Conference proceedings 2004 Springer-Verlag Berlin Heidelberg 20

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Frequency-Range

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https://doi.org/10.1007/978-3-642-30612-9ial. To model the melodic context, two measures of entropy are employed: A set of trained probabilistic models capture local structures via the information-theoretic notion of unpredictability, and an alternative entropy-measure based on adaptive coding is developed to reflect phrasing or motifs. A

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Bouquet

8.1.6.7 Analcime and related silicates,epetitions in a musical piece”. The algorithm that measures the repetitions relies on some general perceptive notions: it is non-linear, non-symetric and non-transitive. The model can analyse any music of any genre that contains a beat. The analysis is performed into three stages. First, we quantize

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LIMN

8.1.6.2 Lisetite, banalsite, stronalsite,on methods: Bayesian classifier, a .-NN classifier, and self-organising maps (SOM). From MIDI files, the monophonic melody track is extracted and cut into fragments of equal length. From these sequences, A number of melodic, harmonic, and rhythmic numerical descriptors are computed and analysed in t

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Melodrama

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