Title: Concurrent Estimation of Chords and Keys from Audio
Abstract: This paper proposes a new method for local key and chord estimation from audio signals. A harmonic content of the musicalpieceisfirstextractedbycomputingasetofchroma vectors. Correlation with fixed chord and key templates then selects a set of key/chord pairs for every frame. A weighted acyclic harmonic graph is then built with these pairs as vertices, and the use of a musical distance to weigh its edges. Finally, the output sequences of chords and keys are obtained by finding the best path in the graph. The proposed system allows a mutual and beneficial chord and key estimation. It is evaluated on a corpus composed of Beatles songs for both the local key estimation and chord recognition tasks. Results show that it performs better than state-of-the art chord analysis algorithms while providing a more complete harmonic analysis.
Publication Year: 2010
Publication Date: 2010-08-09
Language: en
Type: preprint
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Cited By Count: 42
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