Abstract
Petri Nets are modeling tools that are used in an enormous number of real-world simulations and scientific problems. The primary objective of this paper is establishing that Petri Net is one important tool that represents quality music compositional analysis process. In this work this has been illustrated how music structures can be processed by means of a more abstract kind of representation and allow to explicitly describing the process of computational modeling of Musicology that present the attempt on music composition from the fundamental musical objects like vocal and rhythmic cycles usage using Petri Net. This attempt has been obtained to answer the query that whether Petri Net is an adequate tool for modeling such a complex process as a complete composition of music from the fundamental musical objects like vocal and rhythmic structures is. The main focus behind this work is to explore that Petri nets can be used as a good basis for retrieval of music information in World Music.
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Roy, S., Chakrabarty, S., De, D. (2014). A Framework of Musical Pattern Recognition Using Petri Nets. In: Sengupta, S., Das, K., Khan, G. (eds) Emerging Trends in Computing and Communication. Lecture Notes in Electrical Engineering, vol 298. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1817-3_26
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DOI: https://doi.org/10.1007/978-81-322-1817-3_26
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