arXiv Open Access 2023

Encoding Performance Data in MEI with the Automatic Music Performance Analysis and Comparison Toolkit (AMPACT)

Johanna Devaney Cecilia Beauchamp

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Abstrak

This paper presents a new method of encoding performance data in MEI using the recently added \texttt{<extData>} element. Performance data was extracted using the Automatic Music Performance Analysis and Comparison Toolkit (AMPACT) and encoded as a JSON object within an \texttt{<extData>} 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 <extData> and how AMPACT can be used for extracting performance data in the absence of a fully specified musical score.

Topik & Kata Kunci

cs.SD cs.DL eess.AS

Penulis (2)

Johanna Devaney

Cecilia Beauchamp

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APA MLA BibTeX

Devaney, J., Beauchamp, C. (2023). Encoding Performance Data in MEI with the Automatic Music Performance Analysis and Comparison Toolkit (AMPACT). https://arxiv.org/abs/2311.11363

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Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓