Perceptually Based Phoneme Recognition in Popular Music
نویسندگان
چکیده
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.
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