Music Generation Tool Using Voice Samples

Student: Esikova Anna

Educational Programme: System and Software Engineering (Master)

Year of Graduation: 2024

This master's project proposes a novel software program for music composition that leverages the user's voice. By harnessing the power of technology, this project seeks to alleviate the challenges faced by musicians in utilizing software for music creation. The program will explore the mathematical underpinnings of melody, investigating how shapes and structures can reveal patterns in musical sequences. Through mathematical analysis, the software aims to provide a fresh perspective on the process of musical composition. Additionally, the project will focus on enhancing the software's audio processing capabilities to optimize vocal clarity and accurate note detection. The ultimate goal is to develop an intuitive and user-friendly tool for automatic music composition, empowering musicians to streamline their creative process. The implementation will utilize the librosa, aubio, mingus, and pyDub audio libraries, and will be realized in the Python programming language with the PyQt5 framework. The project's outcomes have the potential to advance research endeavors in the domain of music and melody generation software development.

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