Abstract
The explosion of information made available by the Internet requires continuous improvement/enhancement of the search engines. The heterogeneity of information requires the development of specific tools depending on whether it is text, image, audio, etc. One of the areas considered insufficiently by the researchers concerns the search for musical scores. This paper aims to presents a method able to identify the fingerprint of a musical score considered in its symbolic level: it is a compact representation that contains specific information of the score that permits to differentiate it from other scores. A Musical Score Search Engine (MSSE), able to use the fingerprint method to identify a musical score in a repository, has been created. The logic of operation is presented along with the results obtained from the analysis of different musical scores.
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Della Ventura, M. (2020). Symbolic Music Text Fingerprinting: Automatic Identification of Musical Scores. In: Czarnowski, I., Howlett, R., Jain, L. (eds) Intelligent Decision Technologies. IDT 2020. Smart Innovation, Systems and Technologies, vol 193. Springer, Singapore. https://doi.org/10.1007/978-981-15-5925-9_22
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