Abstract
The aim behind the modelling of this paper is the automatic transcription of music time series. Thus, the aim is somewhat the contrary of the usual playing of notes: starting from the audio signal the corresponding musical notes should be generated.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Davy, M., Godsill, S.J.: Bayesian Harmonic Models for Musical Pitch Estimation and Analysis. Technical Report 431, Cambridge University Engineering Department (2002)
Ligges, U., Weihs, C., Hasse-Becker, P.: Detection of Locally Stationary Segments in Time Series. In: Härdle, W., Rönz, B. (eds.) COMPSTAT 2002-Proceedings in Computational Statistics-15th Symposium held in Berlin, Germany (285–290). Physica, Heidelberg (2002)
McGill University Master Samples. McGill University, Quebec, Canada. http://www.music.mcgill.ca/resources/mums/html/index.htm (2002)
Nelder, J.A., Mead, R.: A Simplex Method for Function Minimization. The Computer Journal, 7, 308–313 (1965)
R Development Core Team: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, http://www.R-project.org (2005).
Rossignol, S., Rodet, X., Depalle, P., Soumagne, J., Collette, J.-L.: Vibrato: Detection, Estimation, Extraction, Modification. Digital Audio Effects Workshop (1999)
Spiegelhalter, D.J., Thomas, A., Best, N.G., Lunn, D.: WinBUGS: User Manual, Version 2.0. Cambridge: Medical Research Council Biostatistics Unit (2004)
Weihs, C., Ligges, U.: Automatic Transcription of Singing Performances. Bulletin of the International Statistical Institute, 54th Session, Proceedings, Volume LX, Book 2, 507–510 (2003)
Weihs, C., Ligges, U.: Parameter Optimization in Automatic Transcription of Music. In: Spiliopoulou, M., Kruse, R., Nürnberger, A., Borgelt, C., Gaul, W. (eds.) From Data and Information Analysis to Knowledge Engineering (741–747). Springer, Berlin (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Physica-Verlag Heidelberg
About this paper
Cite this paper
Weihs, C., Ligges, U., Sommer, K. (2006). Analysis of Music Time Series. In: Rizzi, A., Vichi, M. (eds) Compstat 2006 - Proceedings in Computational Statistics. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-1709-6_12
Download citation
DOI: https://doi.org/10.1007/978-3-7908-1709-6_12
Publisher Name: Physica-Verlag HD
Print ISBN: 978-3-7908-1708-9
Online ISBN: 978-3-7908-1709-6
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)