DocumentCode :
155930
Title :
Modeling high performance music computing using Petri Nets
Author :
Roy, Sandip ; Bhakta, Pradipta ; De, Debashis ; Chakrabarty, Sarbani
Author_Institution :
Dept. of Comput. Sci. & Eng., West Bengal Univ. of Technol., Kolkata, India
fYear :
2014
fDate :
Jan. 31 2014-Feb. 2 2014
Firstpage :
678
Lastpage :
682
Abstract :
Petri Nets are the modeling tools which are exploited in a large number of real-world simulations and scientific researches. The prime intention of this contribution is being ascertained that the Petri Net is the significant tool that corresponds to the high performance quality music compositional analysis with its expressive graphical and analytical approaches as Petri nets have wide acceptance in the computational model field. In this effort, this has been represented how music structures can be progressed through a more conceptual demonstration and consent to unambiguously describe the process of computational modeling of Musicology which present the attempt on music composition from the elementary musical objects like vocal and rhythmic cycles usage using Petri Nets. This manner proposes 90% accuracy level using performance evaluation technique of the derived outcomes in Computational music modeling.
Keywords :
Petri nets; modelling; music; parallel processing; Musicology; Petri nets; analytical approaches; computational model; computational music modeling; elementary musical objects; expressive graphical; high performance music computing modeling; high performance quality music compositional analysis; real-world simulations; rhythmic cycles; scientific researches; vocal; Computational modeling; Instruments; Music; Object oriented modeling; Pattern recognition; Petri nets; Unified modeling language; Coverability; Incidence Matrices; Musicology; Petri Nets; Transitions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Instrumentation, Energy and Communication (CIEC), 2014 International Conference on
Conference_Location :
Calcutta
Type :
conf
DOI :
10.1109/CIEC.2014.6959176
Filename :
6959176
Link To Document :
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