Algorithms for an automatic transcription of live music performances into symbolic format

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Abstract

This paper addresses the problem of the real-time automatic transcription of a live music performance into a symbolic format. The source data are given by any music instrument or other device able to communicate through a performance protocol. During a performance, music events are parsed and their parameters are evaluated thanks to rhythm and pitch detection algorithms. The final step is the creation of a well-formed XML document, validated against the new international standard known as IEEE 1599. This work will shortly describe both the software environment and the XML format, but the main analysis will involve the real-time recognition of music events. Finally, a case study will be presented: PureMX, a set of Pure Data externals, able to perform the automatic transcription of MIDI events. © 2010 Springer-Verlag Berlin Heidelberg.

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Baldan, S., Ludovico, L. A., & Mauro, D. A. (2010). Algorithms for an automatic transcription of live music performances into symbolic format. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5954 LNCS, pp. 422–437). https://doi.org/10.1007/978-3-642-12439-6_22

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