• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Application and Research of Monte Carlo Sampling Algorithm in Music Generation

Vol. 16, No. 10, October 31, 2022
10.3837/tiis.2022.10.008, Download Paper (Free):

Abstract

Composing music is an inspired yet challenging task, in that the process involves many considerations such as assigning pitches, determining rhythm, and arranging accompaniment. Algorithmic composition aims to develop algorithms for music composition. Recently, algorithmic composition using artificial intelligence technologies received considerable attention. In particular, computational intelligence is widely used and achieves promising results in the creation of music. This paper attempts to provide a survey on the music generation based on the Monte Carlo (MC) algorithm. First, transform the MIDI music format files to digital data. Among these data, use the logistic fitting method to fit the time series, obtain the time distribution regular pattern. Except for time series, the converted data also includes duration, pitch, and velocity. Second, using MC simulation to deal with them summed up their distribution law respectively. The two main control parameters are the value of discrete sampling and standard deviation. Processing the above parameters and converting the data to MIDI file, then compared with the output generated by LSTM neural network, evaluate the music comprehensively.


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Cite this article

[IEEE Style]
J. MIN, L. WANG, J. PANG, H. HAN, D. Li, M. ZHANG, Y. HUANG, "Application and Research of Monte Carlo Sampling Algorithm in Music Generation," KSII Transactions on Internet and Information Systems, vol. 16, no. 10, pp. 3355-3372, 2022. DOI: 10.3837/tiis.2022.10.008.

[ACM Style]
Jun MIN, Lei WANG, Junwei PANG, Huihui HAN, Dongyang Li, Maoqing ZHANG, and Yantai HUANG. 2022. Application and Research of Monte Carlo Sampling Algorithm in Music Generation. KSII Transactions on Internet and Information Systems, 16, 10, (2022), 3355-3372. DOI: 10.3837/tiis.2022.10.008.

[BibTeX Style]
@article{tiis:37885, title="Application and Research of Monte Carlo Sampling Algorithm in Music Generation", author="Jun MIN and Lei WANG and Junwei PANG and Huihui HAN and Dongyang Li and Maoqing ZHANG and Yantai HUANG and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2022.10.008}, volume={16}, number={10}, year="2022", month={October}, pages={3355-3372}}