From Sound Structure to Visual Identity Systems A Data Driven Study of Iranian Ethnic Music in Graphic Design

The relationship between sound and visual form has increasingly become a critical interdisciplinary field within contemporary graphic design and visual communication studies. Music, particularly ethnic and traditional music, embodies complex structural, cultural, and perceptual dimensions that can function as a rich source for visual identity formation. This study investigates how the structural characteristics of Iranian ethnic music can be systematically translated into coherent visual identity systems through a data-driven approach in graphic design. Focusing on measurable sonic parameters such as pitch distribution, rhythmic density, modal structure, and timbral variation, the research proposes an analytical framework that links auditory data to visual variables including color systems, geometric composition, typographic rhythm, and spatial hierarchy. Iranian ethnic music is selected as the case study due to its diversity of regional styles, modal systems, and strong cultural embeddedness, which provide a robust foundation for comparative analysis across different sound structures. The study adopts a mixed-method research design that integrates music information retrieval techniques with visual system modeling. Quantitative audio analysis is employed to extract statistically significant sonic features from curated musical datasets, while qualitative interpretation is used to map these features onto visual identity components. This process results in the development of adaptable visual identity matrices capable of representing distinct ethnic sound profiles within a unified graphic framework. By emphasizing data-driven translation rather than subjective interpretation, this research contributes a methodological advancement to the field of graphic design, positioning sound as a structured and analyzable input for visual system generation. The findings demonstrate that sonic attributes can effectively inform visual consistency, differentiation, and cultural specificity when systematically integrated into design processes. The proposed model offers practical implications for graphic designers, art directors, and cultural institutions seeking to develop authentic visual identities grounded in auditory heritage. Furthermore, this research expands theoretical discussions on multisensory design by establishing a replicable bridge between sound analysis and visual identity systems, particularly within culturally rich and non-Western musical contexts.

کلیدواژه ها:

Visual Identity Systems ، Sound-to-Visual Translation ، Iranian Ethnic Music ، Data-Driven Graphic Design ، Multisensory Design