Maximum a Posteriori Estimation of Piecewise Arcs in Tempo Time-Series
نویسندگان
چکیده
In musical performances with expressive tempo modulation, the tempo variation can be modelled as a sequence of tempo arcs. Previous authors have used this idea to estimate series of piecewise arc segments from data. In this paper we describe a probabilistic model for a time-series process of this nature, and use this to perform inference of singleand multi-level arc processes from data. We describe an efficient Viterbi-like process for MAP inference of arcs. Our approach is scoreagnostic, and together with efficient inference allows for online analysis of performances including improvisations, and can predict immediate future tempo trajectories.
منابع مشابه
Bayesian MAP estimation of piecewise arcs in tempo time-series
In musical performances with expressive tempo modulation, the tempo variation can be modelled as a sequence of tempo arcs. Previous authors have used this idea to estimate series of piecewise arc segments from data. In this paper we describe a probabilistic model for a time-series process of this nature, and use this to perform inference of singleand multi-level arc processes from data. We desc...
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