Fuzzy Retrieval of Musical Scores Based on Melodic Patterns
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| Title: | Fuzzy Retrieval of Musical Scores Based on Melodic Patterns |
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| Authors: | Aly, Adel, Pivert, Olivier, Thion, Virginie |
| Contributors: | Thion, Virginie |
| Source: | 2025 IEEE International Conference on Fuzzy Systems (FUZZ). :1-6 |
| Publisher Information: | IEEE, 2025. |
| Publication Year: | 2025 |
| Subject Terms: | [SHS.MUSIQ] Humanities and Social Sciences/Musicology and performing arts, digital score library, graph database, [INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB], fuzzy logic, [INFO.INFO-DL] Computer Science [cs]/Digital Libraries [cs.DL], preferences |
| Description: | Retrieving music pieces based on their content is a growing area of research in the field of database management. This paper addresses the challenge of flexible musical score retrieval based on melodic patterns, offering two contributions. First, it introduces a theoretical framework that leverages fuzzy logic to enable flexibility. The approach allows a user to define fuzzy tolerance thresholds for pitch, duration, and sequencing, and returns ranked answers that "more or less" match a given pattern, offering both explainability and customization. Second, it presents MAELIS, an implementation of this framework as an extension of the CYPHER graph-pattern query language. MAELIS is integrated inside the SKRID platform, a digital library that stores musical scores of folk music from the French region of Brittany. |
| Document Type: | Article Conference object |
| File Description: | application/pdf |
| DOI: | 10.1109/fuzz62266.2025.11152091 |
| Access URL: | https://hal.science/hal-05050369v1 |
| Rights: | STM Policy #29 CC BY |
| Accession Number: | edsair.doi.dedup.....1e34c155966190a9f9d30584ff120aef |
| Database: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstract: | Retrieving music pieces based on their content is a growing area of research in the field of database management. This paper addresses the challenge of flexible musical score retrieval based on melodic patterns, offering two contributions. First, it introduces a theoretical framework that leverages fuzzy logic to enable flexibility. The approach allows a user to define fuzzy tolerance thresholds for pitch, duration, and sequencing, and returns ranked answers that "more or less" match a given pattern, offering both explainability and customization. Second, it presents MAELIS, an implementation of this framework as an extension of the CYPHER graph-pattern query language. MAELIS is integrated inside the SKRID platform, a digital library that stores musical scores of folk music from the French region of Brittany. |
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| DOI: | 10.1109/fuzz62266.2025.11152091 |