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Published Articles >> Table of Contents >> Abstract
Seventh IEEE International Symposium on Multimedia (ISM'05)
pp. 577-584
A Dynamic Programming Approach to Adaptive Tatum Assignment for Rhythm Transcription
Aaron C. Yang, USC
Elaine Chew, USC
Anja Volk, USC
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISM.2005.5
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| Abstract |
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We present a method for segmenting music with
different grid levels in order to properly quantize note
values in the transcription of music. This method can
be used in automatic music transcription systems and
music information retrieval systems to reduce a
performance of a music piece to the printed or digital
score. The system will take only the onset data of
performed music from either MIDI or audio, and
determine the best maximal grid level onto which to fit
the note onsets. This maximal grid level, or tatum, is
allowed to vary from section to section in a piece. We
obtain the optimal segmentation of the piece using
dynamic programming. We present results from an
audio based performance of Milhaud’s Botafogo, as
well as several MIDI performances of the Rondo-
Allegro from Beethoven’s Pathetique. The results
show a reduction of error compared to quantization
based only on one global metric level, and promises to
create rhythm transcriptions that are parsimonious
and readable.
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 Additional Information
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Citation:
Aaron C. Yang, Elaine Chew, Anja Volk,
"A Dynamic Programming Approach to Adaptive Tatum Assignment for Rhythm Transcription,"
ism,
pp. 577-584,
Seventh IEEE International Symposium on Multimedia (ISM'05),
2005
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