The VIS Framework: Analyzing Counterpoint in Large Datasets
نویسندگان
چکیده
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 and growth of the VIS Framework, along with a survey of similar previous research. To demonstrate the effectiveness of our analytic approach and software, we present a sample query showing that the most commonly repeated contrapuntal patterns vary between three related style periods. We also emphasize our adaptation of typical n-gram-based research in music, our implementation strategy in VIS, and the flexibility of this approach for future researchers.
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