Based on a model of Davy and Godsill (2002) we describe a general model for time series from monophonic and polyphonic musical sound to estimate the pitch. The model is a hierarchical Bayes Model which will be estimated with MCMC methods. For parameter estimation an MCMC based stochastic optimization is introduced. A comparative study illustrates usefullness of the MCMC algorithm.
CITATION STYLE
Sommer, K., & Weihs, C. (2007). Using MCMC as a stochastic optimization procedure for monophonic and polyphonic sound. In Studies in Classification, Data Analysis, and Knowledge Organization (pp. 645–652). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-540-70981-7_74
Mendeley helps you to discover research relevant for your work.