AI-Based Music Composition and Generation System

Thesis Abstract

Abstract
The advent of artificial intelligence (AI) has revolutionized various industries, including music composition and generation. This thesis explores the development and implementation of an AI-based music composition and generation system. The objective of this research is to investigate the capabilities of AI algorithms in creating original musical compositions, analyzing the impact of AI on the music industry, and evaluating the quality of AI-generated music compared to human-composed music. Chapter 1 provides an introduction to the research topic, discussing the background of the study, the problem statement, objectives, limitations, scope, significance, and structure of the thesis. It also includes definitions of key terms related to AI, music composition, and generation. Chapter 2 presents a comprehensive literature review covering ten key aspects related to AI in music composition and generation. This section explores the evolution of AI technology in music, discusses existing AI-based music composition systems, and analyzes the impact of AI on creativity in music production. Chapter 3 focuses on the research methodology employed in this study. It includes detailed descriptions of the data collection methods, AI algorithms used for music composition, evaluation criteria for AI-generated music, and the overall research design. Additionally, this chapter outlines the ethical considerations and challenges faced during the research process. Chapter 4 presents an in-depth discussion of the findings obtained from the implementation of the AI-based music composition and generation system. It includes analyses of the quality, creativity, and originality of the AI-generated music compositions compared to human-composed music. This chapter also discusses the implications of AI on the music industry and potential future developments in AI music technology. Chapter 5 serves as the conclusion and summary of the thesis, highlighting the key findings, implications, and contributions of this research. It also offers recommendations for further research in the field of AI-based music composition and generation. Overall, this thesis contributes to the growing body of knowledge on AI applications in music composition and generation. By exploring the capabilities and limitations of AI algorithms in creating music, this research sheds light on the transformative potential of AI technology in the music industry.