Thesis Abstract

Abstract
The integration of artificial intelligence (AI) technologies into various industries has revolutionized traditional processes, leading to increased efficiency and productivity. In the music industry, AI has emerged as a powerful tool, transforming the way music is composed, produced, and consumed. This thesis delves into the impact of artificial intelligence on music composition and production, exploring the implications of AI-driven tools and techniques on creativity, workflow, and the overall music-making process. The introductory chapter sets the stage for the study by providing background information on the evolution of AI in music, outlining the problem statement, objectives, and scope of the research. It also highlights the significance of the study and presents the structure of the thesis. Chapter two presents a comprehensive literature review that examines the current landscape of AI applications in music composition and production. The review encompasses ten key areas, including AI-generated music, intelligent music recommendation systems, and AI-powered sound synthesis techniques. The research methodology chapter outlines the approach taken to investigate the impact of AI on music composition and production. It details the research design, data collection methods, sampling techniques, and data analysis procedures employed in the study. Additionally, it discusses ethical considerations and limitations associated with the research process. Chapter four presents a detailed discussion of the findings derived from the research study. It explores how AI technologies have influenced music creation processes, the quality of music output, and the role of human creativity in a technologically-driven environment. The chapter also examines the challenges and opportunities presented by AI in music composition and production. Finally, the concluding chapter summarizes the key findings of the study and offers insights into the future implications of AI in the music industry. It reflects on the implications of AI integration for musicians, producers, and music consumers, emphasizing the need for a balanced approach that leverages AI while preserving artistic integrity and human creativity. In conclusion, this thesis provides a comprehensive analysis of the impact of artificial intelligence on music composition and production. By shedding light on the opportunities and challenges presented by AI technologies in the music industry, this study contributes to the ongoing discourse on the intersection of technology and creativity in music making.

Thesis Overview