Automatic Reduction of MIDI Files Preserving Relevant Musical Content
- Cite this paper as:
- Tjagvad Madsen S., Typke R., Widmer G. (2010) Automatic Reduction of MIDI Files Preserving Relevant Musical Content. In: Detyniecki M., Leiner U., Nürnberger A. (eds) Adaptive Multimedia Retrieval. Identifying, Summarizing, and Recommending Image and Music. AMR 2008. Lecture Notes in Computer Science, vol 5811. Springer, Berlin, Heidelberg
Retrieving music from large digital databases is a demanding computational task. The cost of indexing and searching depends on the computational effort of measuring musical similarity, but also heavily on the number and sizes of files in the database. One way to speed up music retrieval is to reduce the search space by removing redundant and uninteresting material in the database. We propose a simple measure of ‘interestingness’ based on music complexity, and present a reduction algorithm for MIDI files based on this measure. It is evaluated by comparing reduction ratios and the correctness of retrieval results for a query by humming task before and after applying the reduction.
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