0000000000077685

AUTHOR

Compagno Giuseppe

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Characterisation of the Degree of Musical Non-Markovianity

2022

As an aid for musical analysis, in computational musicology mathematical andinformatics tools have been developed to characterise quantitatively some aspectsof musical compositions. A musical composition can be attributed by ear a certainamount of memory. These results are associated with repetitions and similarities ofthe patterns in musical scores. To higher variations, a lower amount of memory isperceived. However, the musical memory of a score has never been quantitativelydefined. Here we aim to give such a measure following an approach similar tothat used in physics to quantify the memory (non-Markovianity) of open quantumsystems. We apply this measure to some existing musical composit…

memorySettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciSettore INF/01 - InformaticaQuantum mechanicquantum computingMusicmusic analysiJournal of Creative Music Systems
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