The Serezian Framework: A Unified Model of Emotional Resonance Across Music, Artificial Intelligence, and Cultural Expression
Year: 2026
Type: article
Abstract: This paper introduces the Serezian Framework as a unified interdisciplinary model of emotional resonance across music, artificial intelligence, and cultural systems. This paper presents a unified theoretical framework based on the Serezian Model, integrating prior research on emotional frequency, cultural resonance, and AI-assisted creativity. Building upon earlier works (Serez, 2025a; 2025b; 2025c), this study synthesizes key concepts into a comprehensive interdisciplinary system. The Serezian Framework proposes that emotional resonance emerges through perceptual alignment across sound, emotional cognition, and cultural context. By examining applications in AI-generated music and cross-cultural artistic production, the paper advances a new model for understanding creativity in the age of intelligent systems. This work contributes to the evolving discourse on the relationship between human emotion, artistic expression, and technological mediation.
Author: Serez, Şafak
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7140041336
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