Bridging the information gap between structural and note-level musical datasets

Hu, Yuerong; Weigl, David M.; Page, Kevin; Dubnicek, Ryan; Downie, J. Stephen

doi:10.21900/iconf.2019.103320

Cited by 2 publications

(2 citation statements)

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“…The explicit encoding of note data in a standard format also allows for easier and more reliable linking between datasets. Another alternative is linking these audio-based annotations to existing MIDI files of the songs, as recently demonstrated by Hu et al (2019) with the Billboard chord annotations.…”

Section: Summary and Discussionmentioning

confidence: 99%

Using Note-Level Music Encodings to Facilitate Interdisciplinary Research on Human Engagement with Music

Devaney

2020

Transactions of the International Society for Music Information Retrieval

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Music encoding can link disparate types of musical data for the purposes of archiving and search. The encoding of human response data explicitly in relation to musical notes facilitates the study of the ways humans engage with music as performers and listeners. This paper reflects on the developments and trends in formal music encoding systems as well as the types of data representations used in corpora released by researchers working on expert music analyses, musical performances, and listener responses. It argues that while the specificity (and often simplicity) afforded by project-specific encoding formats may be useful for individual research projects, larger-scale interdisciplinary research would be better served by explicit, formalized linking of data to specific musical elements. The paper concludes by offering some concrete suggestions for how to achieve this goal.

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Section: Summary and Discussionmentioning

confidence: 99%

Using Note-Level Music Encodings to Facilitate Interdisciplinary Research on Human Engagement with Music

Devaney

2020

Transactions of the International Society for Music Information Retrieval

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“…An example of this is the music encoding and linked data framework [19][20][21][22], which uses MEI encoding and is integrated into the large-scale Towards Richer Online Music Public-domain Archives Project [23].…”

Section: Introductionmentioning

confidence: 99%

NuText: A Novel Method for Music Encoding and Its Practical Application

Chen

Tang

et al. 2022

Preprint

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NuText is a novel music-encoding technology based on numbered musical notation. This paper outlines the notation principles of numbered musical notation and delineates the conversion relationship and encoding protocol between NuText and numbered musical notation. Furthermore, this study demonstrates NuText's playback software and its practical applications, including digital artwork creation, Non-Fungible Tokens (NFTs), and social use, and identifies opportunities to develop it as a music technology. The encoding method proposed herein was implemented on PCs and mobile devices, and the method has been successfully applied to sports-oriented music. The image steganography method used in digital artwork creation, Non-Fungible Tokens (NFTs), and social use does not destroy images, and it has been implemented on mobile devices. NuText is a note-level encoding method, which has advantages for interpreting music connotations and a great potential in the development of music information retrieval and artificial intelligence composition. In future work, special musical skills may be added, including the modification of each note velocity, and this may be incorporated into the encoding specification to realize sound in virtual reality.

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Bridging the information gap between structural and note-level musical datasets

Cited by 2 publications

References 0 publications

Using Note-Level Music Encodings to Facilitate Interdisciplinary Research on Human Engagement with Music

Using Note-Level Music Encodings to Facilitate Interdisciplinary Research on Human Engagement with Music

NuText: A Novel Method for Music Encoding and Its Practical Application

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