Authors: Ligges, Uwe
Weihs, Claus
Title: Parameter Optimization in Automatic Transcription of Music
Language (ISO): en
Abstract: Based on former work on automatic transcription of musical time series into sheet music (Ligges et al. (2002), Weihs and Ligges (2003, 2005)) in this paper parameters of the transcription algorithm are optimized for various real singers. Moreover, the parameters of various artificial singer models derived from the models of Rossignol et al. (1999) and Davy and Godsill (2002) are estimated. In both cases, optimization is carried out by the Nelder-Mead (1965) search algorithm. In the modelling case a hierarchical Bayes extension is estimated by WinBUGS (Spiegelhalter et al. (2004)) as well. In all cases, optimal parameters are compared to heuristic estimates from our former standard method.
Subject Headings: Artificial singer model
Musical time series
Transcription algorithm
URI: http://hdl.handle.net/2003/21645
http://dx.doi.org/10.17877/DE290R-14500
Issue Date: 2005-10-12T06:57:09Z
Appears in Collections:Sonderforschungsbereich (SFB) 475

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