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Augmenting Music Sheets with Harmonic Fingerprints
- Source :
- Proceedings of the ACM Symposium on Document Engineering 2019.
- Publication Year :
- 2019
- Publisher :
- ACM, 2019.
-
Abstract
- Conventional Music Notation (CMN) is the well-established foundation for the written communication of musical information, such as rhythm, harmony, or timbre. However, CMN suffers from the complexity of its visual encoding and the need for extensive training to acquire proficiency and legibility. While alternative notations using additional visual variables (such as color to improve pitch identification) have been proposed, the music community does not readily accept notation systems that vary widely from the CMN. Therefore, to support student musicians in understanding the harmonic relationship of notes, instead of replacing the CMN, we present a visualization technique that augments a digital music sheet with a harmonic fingerprint glyph. Our design exploits the circle of fifths - a fundamental concept in music theory, as a visual metaphor. By attaching these visual glyphs to each bar of a selected composition we provide additional information about the salient harmonic features available in a musical piece. We conducted a user study to analyze the performance of experts and non-experts in an identification and comparison task of recurring patterns. The evaluation shows that the harmonic fingerprint supports these tasks without the need for close-reading, as when compared to a not-annotated music sheet.<br />(9+1) pages; 5 figures; User Study
- Subjects :
- FOS: Computer and information sciences
Musical notation
Sound (cs.SD)
Computer science
Circle of fifths
Computer Science - Human-Computer Interaction
H.5.0
I.7.2
H.1.1
Glyph
Musical
Notation
computer.software_genre
Computer Science - Sound
Human-Computer Interaction (cs.HC)
Audio and Speech Processing (eess.AS)
FOS: Electrical engineering, electronic engineering, information engineering
business.industry
Visualization
Music theory
Artificial intelligence
ddc:004
business
Timbre
computer
Natural language processing
Electrical Engineering and Systems Science - Audio and Speech Processing
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the ACM Symposium on Document Engineering 2019
- Accession number :
- edsair.doi.dedup.....f82255a53cdecb52150a0b06c533204d