Augmenting Music Sheets with Harmonic Fingerprints

July 31, 2019 Β· Declared Dead Β· πŸ› ACM Symposium on Document Engineering

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Authors Matthias Miller, Alexandra Bonnici, Mennatallah El-Assady arXiv ID 1908.00003 Category cs.HC: Human-Computer Interaction Cross-listed cs.SD, eess.AS Citations 11 Venue ACM Symposium on Document Engineering Last Checked 4 months ago
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.
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