Abstract:
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Music representation has been a widely researched topic
through centuries. Transcription of music through the
conventional notation system has dominated the field, for
the best part of the last centuries. However, this notational
system often falls short of communicating the essence
of music to the masses, especially to the people with no
music training. Advances in signal processing and computer
science over the last few decades have bridged this
gap to an extent, but conveying the meaning of music
remains a challenging research field. Music visualisation
is one such bridge, which we explore in this paper. This
paper presents an approach to visualize guitar performances,
transcribing musical events into visual forms. To
achieve this, hexaphonic guitar processing is carried out
(i.e. processing each of the six strings as an independent
monophonic sound source) to get music descriptors,
which reflect the most relevant features of a sound to
define/characterise it. Once this information is obtained,
our goal is to analyse how different mappings to the visual
domain can meaningfully/intuitively represent music.
As a final result, a system is proposed to enrich the musical
listening experience, by extending the perceived auditory
sensations to include visual stimuli. |
Rights:
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© 2016 I. Angulo, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
https://creativecommons.org/licenses/by/3.0/
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