Thesis Abstract

Abstract
The field of music composition and performance has witnessed a transformative shift with the integration of artificial intelligence (AI) technologies. This thesis explores the potential of AI in revolutionizing music creation and live performances. The research delves into the capabilities of AI algorithms to compose original music pieces, analyze musical patterns, and enhance the overall quality of performances. Through an in-depth analysis of existing literature and case studies, this study aims to provide insights into the impact of AI on the music industry and the creative process. Chapter 1 sets the foundation for the research by introducing the topic of utilizing AI for music composition and performance. It provides a background of the study, outlines the problem statement, objectives, limitations, scope, significance, and defines key terms to frame the subsequent chapters. The structure of the thesis is also detailed to guide the reader through the research journey. Chapter 2 presents a comprehensive literature review that examines existing studies and developments related to AI in music composition and performance. The review covers topics such as AI music generation techniques, machine learning algorithms, neural networks, and the impact of AI on creativity and artistic expression in music. Chapter 3 focuses on the research methodology employed in this study. It discusses the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter outlines the steps taken to investigate the role of AI in music composition and performance. Chapter 4 presents an in-depth discussion of the findings from the research. It analyzes the outcomes of utilizing AI in music composition and performance, highlighting the benefits, challenges, and implications for musicians, composers, and the music industry as a whole. The chapter also explores the potential future developments and applications of AI in music. Chapter 5 concludes the thesis by summarizing the key findings, discussing the implications of the research, and offering recommendations for further exploration in the field. The conclusion reflects on the transformative potential of AI in music composition and performance and its implications for the future of music creation and performance. In conclusion, this thesis provides a comprehensive examination of the utilization of artificial intelligence for music composition and performance. By exploring the capabilities of AI algorithms and their impact on the music industry, this research contributes to the evolving landscape of music creation and performance practices. The findings offer valuable insights for musicians, composers, researchers, and industry professionals seeking to harness the potential of AI in the realm of music.

Thesis Overview

The project titled "Utilizing Artificial Intelligence for Music Composition and Performance" aims to explore the integration of artificial intelligence (AI) technologies in the field of music composition and performance. This research seeks to investigate how AI can enhance and revolutionize the creative process in music by analyzing existing compositions, generating new musical pieces, and even collaborating with human musicians in real-time performances. The study will begin by providing a comprehensive introduction to the topic, highlighting the growing significance of AI in various industries and the potential benefits it offers to the music sector. The background of the study will delve into the evolution of AI technologies and their applications in music, setting the context for the research. The problem statement will address the current challenges and limitations faced by musicians and composers in the creative process, such as time constraints, lack of inspiration, and the need for innovative approaches. The objectives of the study will outline the specific goals and aims, including exploring AI algorithms for music composition, evaluating their effectiveness, and assessing the impact on artistic expression. The research methodology will detail the approach and techniques used to collect and analyze data, including data mining, machine learning algorithms, and qualitative assessments. This chapter will also discuss the ethical considerations and potential biases associated with AI-generated music. The discussion of findings will present the results of the research, including insights into the quality of AI-generated music, comparisons with human compositions, and feedback from musicians and audiences. This section will analyze the implications of the findings for the music industry and the creative process, as well as potential future developments and applications. In conclusion, this project aims to contribute to the growing field of AI in music by demonstrating the capabilities and limitations of AI technologies for composition and performance. By exploring new possibilities for collaboration between AI systems and human musicians, this research seeks to inspire innovation and creativity in music production and performance.