Identification and Visualization of Similar Sequences in Digital Sheet Music
Name
Ludvig Leis
Abstract
The purpose of this Master's thesis is to analyze digital sheet music and visualize similar sequences. The paper describes a solution which allows the user to find similar sequences among digital sheet music using different methods. The paper gives an overview of the concept of music information retrieval and what are the different data types and their research methods. The thesis gives an overview of the ways of measuring sequence similarity of digital sheet music and describes the methods of previous work. A detailed overview of the development process of the solution is described and the results of testing the solution are discussed. Finally, further development opportunities of the solution are proposed.
Graduation Thesis language
Estonian
Graduation Thesis type
Master - Data Science
Supervisor(s)
Sven Aller
Defence year
2022