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To catch a chorus, verse, intro, or anything else: Analyzing a song with structural functions
[article]
2022
arXiv
pre-print
Conventional music structure analysis algorithms aim to divide a song into segments and to group them with abstract labels (e.g., 'A', 'B', and 'C'). However, explicitly identifying the function of each segment (e.g., 'verse' or 'chorus') is rarely attempted, but has many applications. We introduce a multi-task deep learning framework to model these structural semantic labels directly from audio by estimating "verseness," "chorusness," and so forth, as a function of time. We propose a 7-class
arXiv:2205.14700v1
fatcat:zm53xuzcjnd6vbs7cqlhdshkxy