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- W2405412599 abstract "In this paper, we present a new method for chord recognition from symbolic music. This method builds a graph of all possible chords and selects the best path in this graph. A rulebased approach is adopted to enumerate chord candidates from groups of notes by considering compatible chords and compatible keys. The distance proposed by Lerdahl is then used to compute costs between different chord candidates. Dynamic programming is also involved to select the best path among chord candidates. Experiments are performed on a MIDI song database, divided in different music styles. Then the proposed system is compared to the Melisma Music Analyzer software proposed by Temperley. Results show that our method has a comparable efficiency and provides not only the root of the chord, but also its mode (major or minor). The proposed system is still open and is able to support more chord types if correct rules to handle them are specified." @default.
- W2405412599 created "2016-06-24" @default.
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- W2405412599 date "2009-01-01" @default.
- W2405412599 modified "2023-09-25" @default.
- W2405412599 title "Dynamic Chord Analysis for Symbolic Music" @default.
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