Date of Graduation
5-2008
Document Type
Thesis
Degree Name
Bachelor of Science in Computer Engineering
Degree Level
Undergraduate
Department
Computer Science and Computer Engineering
Advisor/Mentor
Lusth, John
Abstract
Music is something everyone can enjoy. Shows like American Idol and Dancing with the Stars show us that most everyone, namely more than those who enjoy voting, does enjoy it. Not everyone can make music, and only a special few can make it well. The musically impaired have an ally, though, and it is technology. There are many synthetic ways one may become the dream superstar, especially if they are willing to pay enough. The majority of music generation, processing, and correction software is highly proprietary to their respective owners and carries a high price. Thus, it is difficult in an individual or academic setting to learn about these topics. It is for these reasons the research described below has partnered with the SongLib project to bring a suite of musical processing software to the open source community. Specifically, it aims to develop and implement an algorithm to manipulate the pitch of a recorded human voice to some desired value.
Citation
Hardy, J. (2008). Computer Generation and Processing of Music: Pitch Correction for the Human Voice. Computer Science and Computer Engineering Undergraduate Honors Theses Retrieved from https://scholarworks.uark.edu/csceuht/14
