Encoding Performance Data in MEI with the Automatic Music Performance Analysis and Comparison Toolkit (AMPACT)
Johanna Devaney, Cecilia Beauchamp · arXiv (Cornell University) · 2023
This paper presents a new method of encoding performance data in MEI using the recently added \texttt{} element. Performance data was extracted using the Automatic Music Performance Analysis and Comparison Toolkit (AMPACT) and encoded as a JSON object within an \texttt{} element linked to a specific musical note. A set of pop music vocals has was encoded to demonstrate both the range of descriptors that can be encoded in and how AMPACT can be used for extracting performance data in the absence of a fully specified musical score.