A Graphic User Interface is developed to determine the existence of a
particular sequence of piano notes within a monophonic sound waveform.
Such waveforms are recorded within the Graphic User Interface and then
passed to the monophonic analysis engine. The first phase of analysis segments
the PCM sound data to localize the potential note locations. The second phase
of analysis takes the segmented note locations, moves them to the frequency-domain,
and utilizes a probabilistic identification process to determine the
identity of each note. Two sound files can be processed together to decide if
any notes are common between them. A frequency-based comparison model
allows flexibility in finding overlap between the files. Theoretical concepts are
visualized using the Graphic User Interface making it a tool for developing
additional insight into the analysis of music. / Graduation date: 1997
Identifer | oai:union.ndltd.org:ORGSU/oai:ir.library.oregonstate.edu:1957/34022 |
Date | 13 March 1997 |
Creators | Matos G., Soraya J. |
Contributors | Lu, Shih-Lien |
Source Sets | Oregon State University |
Language | en_US |
Detected Language | English |
Type | Thesis/Dissertation |
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