A Novel Local Alignment-Based Approach to Motif Extraction in Polyphonic Music
- DOI
- 10.1007/978-3-032-02042-0_29
- Published
- 2025-10-10
- Container
- Lecture Notes in Computer Science
- Publisher
- Springer Nature Switzerland
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-032-02042-0_29,
title = {A Novel Local Alignment-Based Approach to Motif Extraction in Polyphonic Music},
author = {Tiange Zhu and Danny Diamond and James McDermott and Raphaël Fournier-S’niehotta and Mathieu d’Aquin and Philippe Rigaux},
year = {2025},
journal = {Lecture Notes in Computer Science},
doi = {10.1007/978-3-032-02042-0_29},
url = {https://doi.org/10.1007/978-3-032-02042-0_29}
}RIS
TY - JOUR TI - A Novel Local Alignment-Based Approach to Motif Extraction in Polyphonic Music AU - Tiange Zhu AU - Danny Diamond AU - James McDermott AU - Raphaël Fournier-S’niehotta AU - Mathieu d’Aquin AU - Philippe Rigaux PY - 2025 JO - Lecture Notes in Computer Science DO - 10.1007/978-3-032-02042-0_29 UR - https://doi.org/10.1007/978-3-032-02042-0_29 ER -
APA
Zhu, T., Diamond, D., McDermott, J., Fournier-S’niehotta, R., d’Aquin, M., & Rigaux, P. (2025). A Novel Local Alignment-Based Approach to Motif Extraction in Polyphonic Music. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-032-02042-0_29
Source records
- crossref · retrieved 2026-09-25T15:09:04.740Z