Archives of Acoustics, 36, 2, pp. 297–309, 2011

Automatic Music Summarization. A “Thumbnail” Approach

Jakub GŁACZYNSKI
Poznan University of Technology Faculty of Computing Science Institute of Computing Science

Ewa ŁUKASIK
Poznan University of Technology Faculty of Computing Science Institute of Computing Science

In the paper, various approaches to automatic music audio summarization are
discussed. The project described in detail, is the realization of a method for extracting
a music thumbnail – a fragment of continuous music of a given duration time
that is most similar to the entire music piece. The results of subjective assessment
of the thumbnail choice are presented, where four parameters have been taken into
account: clarity (representation of the essence of the piece of music), conciseness
(the motifs are not repeated in the summary), coherence of music structure, and
overall quality of summary usefulness.
Keywords: automatic music summarization; music thumbnail; key phrases; automatic music transcription; Music Information Retrieval
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