2018
DOI: 10.48550/arxiv.1810.10814
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Analyzing Visual Mappings of Traditional and Alternative Music Notation

Matthias Miller,
Johannes Häußler,
Matthias Kraus
et al.

Abstract: Figure 1: Segmenting music into its basic features to design and apply task-dependent visual encodings, based on visual channels and Gestalt laws. Exploiting the whole range of the music notation design space enables a variety of novel music notation techniques.

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Cited by 3 publications
(2 citation statements)
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“…Because our method (multivariate statistical analysis) required isolating music attributes as parameters in multiple dimensions, we determined our dataset with four elemental music parameters following the musical meta-features and notational dimensions that specify characteristics of music composition in detail [14], including rhythm, melody, interval, and pitch. To take advantage of the cross-cultural analogies of Thai-Laos-Cambodian and Western music, we also applied the Look Tok or pillar tone and rhyme music structure as fixed-elemental music parameters in analyzing the data at the hyper-deep structure level [15].…”
Section: Thai and Western Notation And Their Transcription To Differe...mentioning
confidence: 99%
“…Because our method (multivariate statistical analysis) required isolating music attributes as parameters in multiple dimensions, we determined our dataset with four elemental music parameters following the musical meta-features and notational dimensions that specify characteristics of music composition in detail [14], including rhythm, melody, interval, and pitch. To take advantage of the cross-cultural analogies of Thai-Laos-Cambodian and Western music, we also applied the Look Tok or pillar tone and rhyme music structure as fixed-elemental music parameters in analyzing the data at the hyper-deep structure level [15].…”
Section: Thai and Western Notation And Their Transcription To Differe...mentioning
confidence: 99%
“…During the past decades, many visualizations have been designed to help intuitively represent musical data [31,41] to aid learn-ing [3,14,48,50] or to provide a more immersive listening experience [24,27,74,75]. Most of the existing visualizations are manually designed by following the visual encoding rules introduced in the field of information visualization, resulting in graphical visual representations that usually take effort to understand.…”
Section: Introductionmentioning
confidence: 99%