Thesis Abstract

Abstract
The field of music composition and performance has undergone a significant transformation with the integration of artificial intelligence (AI) technologies. This thesis explores the impact of AI in music composition and performance, focusing on how these technologies have influenced creativity, efficiency, and accessibility in the music industry. The study delves into the evolution of AI in music, from early experiments to current state-of-the-art applications, highlighting the benefits and challenges associated with its implementation. Chapter One provides an introduction to the research, presenting the background of the study, problem statement, objectives, limitations, scope, significance, and structure of the thesis. The chapter also defines key terms to establish a common understanding of the subject matter. The literature review in Chapter Two examines existing research on AI in music, covering topics such as AI-assisted composition tools, algorithmic music generation, and AI-driven performance systems. The review identifies key trends, challenges, and opportunities in the field. Chapter Three outlines the research methodology employed in this study, including data collection methods, sample selection, data analysis techniques, and ethical considerations. The chapter also discusses the theoretical frameworks that inform the research design and data interpretation. Chapter Four presents a detailed discussion of the findings, analyzing the impact of AI on music composition and performance from various perspectives. The chapter explores the implications of AI technologies for artists, producers, and audiences, addressing issues related to creativity, copyright, and cultural diversity. Finally, Chapter Five offers a conclusion and summary of the thesis, highlighting the key findings, contributions, and implications of the study. The conclusion reflects on the potential future directions for research and practice in the field of AI in music composition and performance. Overall, this thesis provides valuable insights into the transformative role of AI technologies in shaping the landscape of music creation and consumption, offering new possibilities for artistic expression and collaboration.

Thesis Overview