The Serezian Framework: A Unified Model of Emotional Resonance Across Music, Artificial Intelligence, and Cultural Expression

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.