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- W23149780 abstract "Automatic analysis of the structure of a music piece aims to recover its sectional form: segmentation to musical parts, such as chorus or verse, and detecting repeated occurrences. A music signal is here described with features that are assumed to deliver information about its structure: mel-frequency cepstral coefficients, chroma, and rhythmogram. The features can be focused on different time scales of the signal. Two distance measures are presented for comparing musical sections: “stripes” for detecting repeated feature sequences, and “blocks” for detecting homogenous sections. The features and their time scales are evaluated in a systemindependent manner. Based on the obtained information, the features and distance measures are evaluated in an automatic structure analysis system with a large music database with manually annotated structures. The evaluations show that in a realistic situation, feature combinations perform better than individual features." @default.
- W23149780 created "2016-06-24" @default.
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- W23149780 date "2011-01-01" @default.
- W23149780 modified "2023-09-27" @default.
- W23149780 title "ACOUSTIC FEATURES FOR MUSIC PIECE STRUCTURE ANALYSIS" @default.
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