期刊论文详细信息
| Journal of Humanistic Mathematics | |
| Markov Chains for Computer Music Generation | |
| article | |
| Shapiro, Ilana1  Huber, Mark2  | |
| [1] Pomona College;Claremont McKenna College | |
| 关键词: randomized algorithms; musical dice games; music composition; Markov chains; | |
| DOI : 10.5642/jhummath.202102.08 | |
| 学科分类:社会科学、人文和艺术(综合) | |
| 来源: Claremont Center for the Mathematical Sciences | |
PDF
|
|
【 摘 要 】
Random generation of music goes back at least to the 1700s with the introduction of Musical Dice Games. More recently, Markov chain models have been used as a way of extracting information from a piece of music and generating new music. We explain this approach and give Python code for using it to first draw out a model of the music and then create new music with that model.
【 授权许可】
CC BY-NC-ND
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202303290006271ZK.pdf | 1874KB |
PDF