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

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