Date of Award
5-2004
Degree Type
Thesis
Degree Name
M.S.
Degree Program
Engineering
Department
Electrical Engineering
Major Professor
Charalampidis, Dimitrios
Second Advisor
Bourgeois, Edit
Third Advisor
Jilkov, Vesselin
Fourth Advisor
Lannes, Ken
Abstract
Music has always played a large role in human life. The technology behind the art has progressed and grown over time in many areas, for instance the instruments themselves, the recording equipment used in studios, and the reproduction through digital signal processing. One facet of music that has seen very little attention over time is the ability to transcribe audio files into musical notation. In this thesis, a method of multipitch analysis is used to track multiple simultaneous notes through time in an audio music file. The analysis method is based on autocorrelation and a specialized peak pruning method to identify only the fundamental frequencies present at any single moment in the sequence. A sliding Hamming window is used to step through the input sound file and track through time. Results show the tracking of nontrivial musical patterns over two octaves in range and varying tempos.
Recommended Citation
Baumgartner, Richard, "Multipitch Analysis and Tracking for Automatic Music Transcription" (2004). University of New Orleans Theses and Dissertations. 84.
https://scholarworks.uno.edu/td/84
Rights
The University of New Orleans and its agents retain the non-exclusive license to archive and make accessible this dissertation or thesis in whole or in part in all forms of media, now or hereafter known. The author retains all other ownership rights to the copyright of the thesis or dissertation.