Abstract
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.
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References
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Sommer, K., Weihs, C. (2007). Using MCMC as a Stochastic Optimization Procedure for Monophonic and Polyphonic Sound. In: Decker, R., Lenz, H.J. (eds) Advances in Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70981-7_74
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DOI: https://doi.org/10.1007/978-3-540-70981-7_74
Publisher Name: Springer, Berlin, Heidelberg
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