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SSIMuse: Assessing Data Replication in Symbolic Music via an Adapted Structural Similarity Index Measure
AI-generated music may inadvertently replicate training samples and raise plagiarism concerns. Similarity measures can quantify such replication, thereby offering supervision and guidance for music generation models. Existing similarity measures for symbolic music mainly target monophonic melodies a
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