Music-Theoretic Estimation of Chords and Keys from Audio

This paper proposes a new method for local key and chord estimation from audio signals. This method relies primarily on principles from music theory, and does not require any training on a corpus of labelled audio files. A harmonic content of the musical piece is first extracted by computing a set of chroma vectors. A set of chord/key pairs is selected for every frame by correlation with fixed chord and key templates. An acyclic harmonic graph is constructed with these pairs as vertices, using a musical distance to weigh its edges. Finally, the sequences of chords and keys are obtained by finding the best path in the graph using dynamic programming. The proposed method allows a mutual chord and key estimation. It is evaluated on a corpus composed of Beatles songs for both the local key estimation and chord recognition tasks, as well as a larger corpus composed of songs taken from the Billboard dataset.

Artea ikasbide: mendiekin abesten

LABURPENA: Lan honek, hezkuntzan sormenak eta musikak duen garrantzia aztertuz eta hauek gelan lantzeak duen abantaila adieraziz, Haur Hezkuntzako gela batean praktikan jarri daitekeen lan proiektua sortzea du helburu. Honez gain, herri kantak zer diren eta lantzearen garrantzia aipatuz, mendizaleen orkestra izendatutako proposamena sortu da, musika, artea eta ingurune hurbila ezagutzeko asmoekin.