Data for: MusicHeritage: A Probabilistic Event-Sensitive Computational Framework for Indian Music Composition and Reconstruction

Published: 03-11-2020| Version 4 | DOI: 10.17632/8j7dgj9wbz.4
Contributors:
Samarjit Roy,
Debashis De

Description

The procreative statistical framework of musical note structures produces a crucial role in multimedia music classification and reconstruction strategies. Another most significant thing for harmonious music composition is the rhythmic structures that provide musical performance in a harmonic form. We have illustrated computational music theory and allied factors to regulate what human beings can acquire, remember, and reconstruct music for sustaining intangible cultural and entertainment heritage. The music strings or symbols are also imperative factors that assist the musicians as performance guidelines. To afford a syntactic outline of musical note arrangements, a stochastic model along with probabilistic context-free music grammar has been discussed in this paper. We have additionally incorporated the state transition analysis in terms of transition table and diagram to demonstrate which state can move to the other one within a finite automaton depending on the behaviors of the current state and associated transition rule. Petri net has been used for modeling and simulating the projected complex music composition framework to analyze overall system performances. The Petri net-based reachability and system efficiency have been evaluated for analyzing the effectiveness of the proposed event-driven music composition architecture. For incorporating real data into the projected framework, the object-oriented music composition and reconstruction framework has also been demonstrated. The system performance evaluation metric has shown that around 92% efficiency level has been achieved by analyzing the projected music composition model.

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