Encoding written music with a textual format is a technology developed for exchanging and analyzing digital music scores. In the literature, many standards exist for this purpose, such as, MusicXML and the Music Encoding Initiative (MEI). The Music Encoding Initiative is a standard developed for encoding music scores in XML. It supports the encoding of different types of notations, such as, Common Music Notation, Neumes Notation, etc]. It encodes many features and elements related to musical components such as the pitch name, the octave and the duration of notes. However, for the researchers in musicology, additional information are necessary to enrich the MEI and in order to provide more specific music analysis. In this paper, we target th...
UID/EAT/00693/2019 DL 57/2016/CP1453/CT0085This paper describes the challenges involved in designing...
MEI-encoded scores are versatile music information resources representing musical meaning within a f...
International audienceTraining sequence models such as transformers with symbolic music requires a r...
Encoding written music with a textual format is a technology developed for exchanging and analyzing ...
We propose a standard representation for hierarchical musical analyses as an extension to the Music ...
This document presents a pair of formalized schemes for including information about the completeness...
MEI (Music Encoding Initiative, pronounced “may”) is a new computer file format that uses XML syntax...
In comparison to computational linguistics, with its abundance of natural-language datasets, corpora...
The Music Encoding Initiative (MEI) is a collaborative, open-source project focused on building a co...
In this chapter, we will analyze the heterogeneous contents involved in a comprehensive description ...
In the realm of digital musicology, standardizations efforts to date have mostly concentrated on the...
This project demonstrated that enough information can be retrieved from MEI, an XML format for music...
Traditionally, digital collections of musical metadata, i.e., information about musical works – such...
Analytical discussions of music often make use of structures such as trees and graphs, which are gen...
International audienceThe standard MEI - Music Encoding Initiative - was developed according to the ...
UID/EAT/00693/2019 DL 57/2016/CP1453/CT0085This paper describes the challenges involved in designing...
MEI-encoded scores are versatile music information resources representing musical meaning within a f...
International audienceTraining sequence models such as transformers with symbolic music requires a r...
Encoding written music with a textual format is a technology developed for exchanging and analyzing ...
We propose a standard representation for hierarchical musical analyses as an extension to the Music ...
This document presents a pair of formalized schemes for including information about the completeness...
MEI (Music Encoding Initiative, pronounced “may”) is a new computer file format that uses XML syntax...
In comparison to computational linguistics, with its abundance of natural-language datasets, corpora...
The Music Encoding Initiative (MEI) is a collaborative, open-source project focused on building a co...
In this chapter, we will analyze the heterogeneous contents involved in a comprehensive description ...
In the realm of digital musicology, standardizations efforts to date have mostly concentrated on the...
This project demonstrated that enough information can be retrieved from MEI, an XML format for music...
Traditionally, digital collections of musical metadata, i.e., information about musical works – such...
Analytical discussions of music often make use of structures such as trees and graphs, which are gen...
International audienceThe standard MEI - Music Encoding Initiative - was developed according to the ...
UID/EAT/00693/2019 DL 57/2016/CP1453/CT0085This paper describes the challenges involved in designing...
MEI-encoded scores are versatile music information resources representing musical meaning within a f...
International audienceTraining sequence models such as transformers with symbolic music requires a r...