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In this paper, models and algorithms are presented for transcription of pitch and timings in polyphonic music extracts, focusing on the algorithm details of the sequential Markov chain Monte Carlo (MCMC) inference techniques used. The data are decomposed frame-wise into the frequency domain, where a Poisson point process model is used to write a polyphonic pitch likelihood function. A dynamical model...
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