Modeling Chord and Key Structure with Markov Logic
نویسندگان
چکیده
We propose the use of Markov Logic Networks (MLNs) as a highly flexible and expressive formalism for the harmonic analysis of audio signals. Using MLNs information about the physical and semantic content of the signal can be intuitively and compactly encoded and expert knowledge can be easily expressed and combined using a single unified formal model that combines probabilities and logic. In particular, we propose a new approach for joint estimation of chord and global key The proposed model is evaluated on a set of popular music songs. The results show that it can achieve similar performance to a state of the art Hidden Markov Model for chord estimation while at the same time estimating global key. In addition when prior information about global key is used it shows a small but statistically significant improvement in chord estimation performance. Our results demonstrate the potential of MLNs for music analysis as they can express both structured relational knowledge as well as uncertainty.
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