Evaluating automatic melody segmentation aimed at music information retrieval

Authors:
Massimo Melucci;Nicola Orio
Affiliations:
University of Padua, Padova, Italy;University of Padua, Padova, Italy
Venue:
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Year:
2002

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Abstract

In this paper we investigate the effectiveness of a melody segmentation algorithm based on melodic feature. The segmentation produced by experienced music scholars have been compared with the algorithm, a random segmenter and a n-gram-based segmenter. Results showed that the algorithm is closer to manual segmentation than the other segmenters.