Julie Cumming

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The VIS Framework for Music Analysis is a modular Python library designed for " big data " queries in symbolic musical data. Initially created as a tool for studying musical style change in counterpoint, we have built on the music21 and pandas libraries to provide the foundation for much more. We describe the musicological needs that inspired the creation(More)
Musical scores are the central resource for musicological research. Our project, Single Interface for Music Score Searching and Analysis (SIMSSA), targets digitized music scores to design a global infrastructure for searching and analyzing music scores. Specifically, we seek to provide researchers, musicians, and others to access the contents and metadata(More)
Commercial recordings of French-Canadian instrumental dance tunes represent a varied and complex corpus of study. This was a primarily aural tradition, transmitted from performer to performer with few notated sources until the late 20th century. Practitioners routinely combined tune segments to create new tunes and personalized settings of existing tunes.(More)
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