AI-ASSISTED MUSIC PRODUCTION AND THE TRANSFORMATION OF PRODUCTION PROCESSES: POSSIBILITIES AND LIMITATIONS
Öz
Artificial intelligence-assisted music production technologies have recently driven a significant transformation in production practices, shifting the paradigm from a centralized structure dependent on professional studios, high-cost hardware, and advanced expertise toward a more accessible, flexible, and software-centered model. This study aims to examine this transformation regarding the reduction of physical studio and hardware requirements, spatial flexibility, workflow acceleration, expanded access, musical competence, and creative control. Employing a qualitative research design, the study utilizes a document analysis method to systematically review relevant academic literature. The findings indicate that AI-assisted systems accelerate production, reduce costs, and render music production sustainable in home and mobile environments. By lowering technical barriers, these technologies facilitate participation for users with varying levels of experience. However, this expanded access introduces new exigencies regarding musical competence, critical evaluation, and error awareness. Technically balanced AI-generated outputs do not consistently guarantee musical coherence, aesthetic consistency, or contextual validity. Consequently, this study demonstrates that while AI-assisted music production offers significant opportunities for technical efficiency and accessibility, the capacity for creative control and musical evaluation has become increasingly decisive within the production process.
Anahtar Kelimeler
Kaynakça
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