Music similarity is an essential aspect of music retrieval, recommendation systems, and music analysis. Moreover, similarity is of vital interest for music experts, as it allows studying analogies and influences among composers and historical periods. Current approaches to musical similarity rely mainly on symbolic content, which can be expensive to produce and is not always readily available. Conversely, approaches using audio signals typically fail to provide any insight about the reasons behind the observed similarity. This research addresses the limitations of current approaches by focusing on the study of musical similarity using both symbolic and audio content. The aim of this research is to develop a fully explainable and interpretable system that can provide end-users with more control and understanding of music similarity and classification systems.

Poltronieri A. (2023). Knowledge-Based Multimodal Music Similarity. Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-43458-7_41].

Knowledge-Based Multimodal Music Similarity

Poltronieri A.
Primo
Conceptualization
2023

Abstract

Music similarity is an essential aspect of music retrieval, recommendation systems, and music analysis. Moreover, similarity is of vital interest for music experts, as it allows studying analogies and influences among composers and historical periods. Current approaches to musical similarity rely mainly on symbolic content, which can be expensive to produce and is not always readily available. Conversely, approaches using audio signals typically fail to provide any insight about the reasons behind the observed similarity. This research addresses the limitations of current approaches by focusing on the study of musical similarity using both symbolic and audio content. The aim of this research is to develop a fully explainable and interpretable system that can provide end-users with more control and understanding of music similarity and classification systems.
2023
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
224
233
Poltronieri A. (2023). Knowledge-Based Multimodal Music Similarity. Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-43458-7_41].
Poltronieri A.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/969599
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