Simultaneous estimation of chord progression and downbeats from an audio file
Hélène Papadopoulos, Geoffroy G. Peeters · IEEE International Conference on Acoustics Speech and Signal Processing · 2008
Harmony and metrical structure are some of the most important attributes of Western tonal music. In this paper, we present a new method for simultaneously estimating the chord progression and the downbeats from an audio file. For this, we propose a specific topology of hidden Markov models that allows us to model chords dependency on metrical structure. The model is evaluated on a dataset of 66 popular music songs from the Beatles and shows improvement over the state of the art.