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(2018) Computational models of rhythm and meter, Dordrecht, Springer.
In this and the following chapter I will describe how it is possible to extract rhythm data from audio recordings, and to transcribe note onsets into music notation. For the collection of note onset data used by the rhythm quantization and transcription algorithms, which I develop in Chap. 9, we need to understand and apply current techniques of onset detection from various data sources. For instance, we would like to know how accurate they are, and how much noise is likely to occur in the data when those methods are being used.
Publication details
DOI: 10.1007/978-3-319-76285-2_8
Full citation:
Boenn, G. (2018). Models of musical meter, temporal perception and onset quantization, in Computational models of rhythm and meter, Dordrecht, Springer, pp. 113-146.
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