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Context-Aware Hidden Markov Models of Jazz Music with Variable Markov Oracle
2017
Zenodo
In this paper, a latent variable model based on the Variable Markov Oracle (VMO) is proposed to capture long-term temporal relationships between sequential observations. The proposed latent variable model is a multi-level Hidden Markov Model (HMM) extracted from the VMO, and is called the VMO-HMM. The musical importance of the proposed model is demonstrated by modeling harmonic progressions of jazz music. The VMO-HMM is able to reveal functional harmony relations beyond chord labels, provides
doi:10.5281/zenodo.4285246
fatcat:cgpfd52jpzgebnbx2v2rirylzm