MIDI to SP-MIDI Transcoding Using Phrase Stealing

Authors:
Simon Lui;Andrew Horner;Lydia Ayers
Affiliations:
Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology
Venue:
IEEE MultiMedia
Year:
2006

Citing 2
Cited 2

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Automatic reduction of MIDI files preserving relevant musical content

AMR'08 Proceedings of the 6th international conference on Adaptive Multimedia Retrieval: identifying, Summarizing, and Recommending Image and Music

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Abstract

The mobile phone industry has a problem with conversion from MIDI to SP-MIDI, which handles specific polyphonic limits. Simple specific polyphonic reduction algorithms, such as note-stealing, may lose or interrupt important musical information. Therefore, we present a phrase-stealing algorithm that drops the perceptually least important notes and preserves the most important phrases. Tests show that listeners reacted positively to this solution.