Pattern-specific piano exercise retrieval

Min Joon Yoo; In Kwon Lee

Pattern-specific piano exercise retrieval

College of Computing

Research output: Contribution to conference › Paper › peer-review

Abstract

We report a system which retrieves piano exercises automatically to match patterns input by a user. The system constructs a database of exercises, indexed by representative patterns, which are extracted from MIDI files by a repeated pattern detection algorithm. An input pattern is compared with these indices using the longest common subsequence method, and the most highly-ranked matches are retrieved.

Original language	English
Publication status	Published - 2008
Event	International Computer Music Conference, ICMC 2008 - Belfast, Ireland Duration: 2008 Aug 24 → 2008 Aug 29

Other

Other	International Computer Music Conference, ICMC 2008
Country/Territory	Ireland
City	Belfast
Period	08/8/24 → 08/8/29

All Science Journal Classification (ASJC) codes

Computer Science Applications
Media Technology
Music

Cite this

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title = "Pattern-specific piano exercise retrieval",

abstract = "We report a system which retrieves piano exercises automatically to match patterns input by a user. The system constructs a database of exercises, indexed by representative patterns, which are extracted from MIDI files by a repeated pattern detection algorithm. An input pattern is compared with these indices using the longest common subsequence method, and the most highly-ranked matches are retrieved.",

author = "Yoo, {Min Joon} and Lee, {In Kwon}",

year = "2008",

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note = "International Computer Music Conference, ICMC 2008 ; Conference date: 24-08-2008 Through 29-08-2008",

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TY - CONF

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AU - Yoo, Min Joon

AU - Lee, In Kwon

PY - 2008

Y1 - 2008

N2 - We report a system which retrieves piano exercises automatically to match patterns input by a user. The system constructs a database of exercises, indexed by representative patterns, which are extracted from MIDI files by a repeated pattern detection algorithm. An input pattern is compared with these indices using the longest common subsequence method, and the most highly-ranked matches are retrieved.

AB - We report a system which retrieves piano exercises automatically to match patterns input by a user. The system constructs a database of exercises, indexed by representative patterns, which are extracted from MIDI files by a repeated pattern detection algorithm. An input pattern is compared with these indices using the longest common subsequence method, and the most highly-ranked matches are retrieved.

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M3 - Paper

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T2 - International Computer Music Conference, ICMC 2008

Y2 - 24 August 2008 through 29 August 2008

ER -

Pattern-specific piano exercise retrieval

Abstract

Other

All Science Journal Classification (ASJC) codes

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