Thesis Abstract

Abstract
Artificial Intelligence (AI) has revolutionized various industries, and the music industry is no exception. This thesis delves into the profound impact of AI on music composition and production. The study explores how AI technologies are transforming the creative process, challenging traditional norms, and reshaping the music landscape. Through a comprehensive analysis, this research investigates the benefits, challenges, and implications of integrating AI in music creation. The introduction sets the stage by providing an overview of AI in music, highlighting its evolution, significance, and potential. The background of the study delves into the historical context of music composition and the emergence of AI technologies in the field. The problem statement identifies the gaps and issues in current music production practices that AI aims to address. The objectives of the study outline the specific goals and aims to be achieved through the research. The literature review critically analyzes existing studies, theories, and practices related to AI in music composition and production. It examines the impact of AI on creativity, copyright issues, and the role of AI in enhancing musical expression. The review also discusses the ethical considerations and societal implications of AI-generated music. The research methodology section details the research approach, design, data collection methods, and analysis techniques employed in the study. It outlines the research framework, sampling strategy, and data analysis procedures to ensure the validity and reliability of the findings. The chapter also discusses the limitations of the study and the steps taken to mitigate potential biases. The discussion of findings chapter presents the results of the empirical research, highlighting the key insights, trends, and patterns observed. It examines how AI tools and algorithms influence music creation, production workflows, and audience engagement. The chapter also explores the perspectives of musicians, producers, and industry professionals on the benefits and challenges of AI integration in music. Finally, the conclusion summarizes the main findings, implications, and contributions of the study. It reflects on the significance of AI in transforming music composition and production practices and provides recommendations for future research and industry application. This thesis contributes to the growing body of knowledge on AI in music and offers valuable insights for researchers, practitioners, and stakeholders in the music industry.

Thesis Overview