Algorithms for Collaborative Harmonization
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866915470732427264 |
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| author | Briman, Eyal Leizerovich, Eyal Talmon, Nimrod |
| author_facet | Briman, Eyal Leizerovich, Eyal Talmon, Nimrod |
| contents | We consider a specific scenario of text aggregation, in the realm of musical harmonization. Musical harmonization shares similarities with text aggregation, however the language of harmony is more structured than general text. Concretely, given a set of harmonization suggestions for a given musical melody, our interest lies in devising aggregation algorithms that yield an harmonization sequence that satisfies the following two key criteria: (1) an effective representation of the collective suggestions; and (2) an harmonization that is musically coherent. We present different algorithms for the aggregation of harmonies given by a group of agents and analyze their complexities. The results indicate that the Kemeny and plurality-based algorithms are most effective in assessing representation and maintaining musical coherence. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_00120 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Algorithms for Collaborative Harmonization Briman, Eyal Leizerovich, Eyal Talmon, Nimrod Sound Audio and Speech Processing We consider a specific scenario of text aggregation, in the realm of musical harmonization. Musical harmonization shares similarities with text aggregation, however the language of harmony is more structured than general text. Concretely, given a set of harmonization suggestions for a given musical melody, our interest lies in devising aggregation algorithms that yield an harmonization sequence that satisfies the following two key criteria: (1) an effective representation of the collective suggestions; and (2) an harmonization that is musically coherent. We present different algorithms for the aggregation of harmonies given by a group of agents and analyze their complexities. The results indicate that the Kemeny and plurality-based algorithms are most effective in assessing representation and maintaining musical coherence. |
| title | Algorithms for Collaborative Harmonization |
| topic | Sound Audio and Speech Processing |
| url | https://arxiv.org/abs/2509.00120 |