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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.12000 |
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| _version_ | 1866910530546958336 |
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| author | McGettrick, Michael McGettrick, Paul |
| author_facet | McGettrick, Michael McGettrick, Paul |
| contents | We estimate the Kolmogorov complexity of melodies in Irish traditional dance music using Lempel-Ziv compression. The "tunes" of the music are presented in so-called "ABC notation" as simply a sequence of letters from an alphabet: We have no rhythmic variation, with all notes being of equal length. Our estimation of algorithmic complexity can be used to distinguish "simple" or "easy" tunes (with more repetition) from "difficult" ones (with less repetition) which should prove useful for students learning tunes. We further present a comparison of two tune categories (reels and jigs) in terms of their complexity. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_12000 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The Kolmogorov Complexity of Irish traditional dance music McGettrick, Michael McGettrick, Paul Information Theory Computation and Language Computer Vision and Pattern Recognition Information Retrieval Sound Audio and Speech Processing We estimate the Kolmogorov complexity of melodies in Irish traditional dance music using Lempel-Ziv compression. The "tunes" of the music are presented in so-called "ABC notation" as simply a sequence of letters from an alphabet: We have no rhythmic variation, with all notes being of equal length. Our estimation of algorithmic complexity can be used to distinguish "simple" or "easy" tunes (with more repetition) from "difficult" ones (with less repetition) which should prove useful for students learning tunes. We further present a comparison of two tune categories (reels and jigs) in terms of their complexity. |
| title | The Kolmogorov Complexity of Irish traditional dance music |
| topic | Information Theory Computation and Language Computer Vision and Pattern Recognition Information Retrieval Sound Audio and Speech Processing |
| url | https://arxiv.org/abs/2407.12000 |