Automatic Reduction of MIDI Files Preserving Relevant Musical Content
Identifieur interne : 000992 ( Main/Exploration ); précédent : 000991; suivant : 000993Automatic Reduction of MIDI Files Preserving Relevant Musical Content
Auteurs : S Ren Tjagvad Madsen [Autriche] ; Rainer Typke [Autriche] ; Gerhard Widmer [Autriche]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: 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.
Url:
DOI: 10.1007/978-3-642-14758-6_8
Affiliations:
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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. 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