Abstract
Solving the task of phoneme recognition in music sound files may help for several practical applications: it enables lyrics transcription and as a consequence could provide further relevant information for the task of an automatic song classification. Beyond it can be used for lyrics alignment e.g. in karaoke applications. The effect of both different feature signal representations as well as the choice of the appropriate classifier are investigated. Besides, a unified R framework for classifier optimization is be presented. © 2010 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Szepannek, G., Gruhne, M., Bischl, B., Krey, S., Harczos, T., Klefenz, F., … Weihs, C. (2010). Perceptually based phoneme recognition in popular music. In Studies in Classification, Data Analysis, and Knowledge Organization (pp. 751–758). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-642-10745-0_83
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