Computational Analysis of Jazz Music: Estimating Tonality through Chord Progression Distances
Article No.: 24, Pages 1 - 6
Abstract
Currently, research in music informatics focuses extensively on music theory, particularly on the theoretical systems of Western classical music dating back to the 19th century. However, contemporary popular music genres such as pop, rock, and jazz often rely on jazz music theory, which is an evolution from classical music theory. To make music informatics research more practical and relevant to modern music composition, it is essential to explore music analysis based on jazz music theory using computational methods.
In this study, we attempt to perform jazz music analysis computationally. Jazz music theory primarily centers around chord progressions. Therefore, Tonal Pitch Space (TPS) and its extension to jazz music theory, TPS-ExJ, are valuable tools for our investigation. We implement and modify these computational music theories to calculate the "chord distance," a metric indicating the naturalness of chord progressions. This allows us to estimate the "key" of a piece of music, a concept determined by human sensibility, using computational techniques.
Although the experimental results for key estimation are not particularly high, we believe that the theoretical framework proposed in this study forms a solid foundation for complex chord progressions' key estimation in jazz music.
References
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Index Terms
- Computational Analysis of Jazz Music: Estimating Tonality through Chord Progression Distances
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October 2023
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Published: 21 December 2023
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CSAE 2023
CSAE 2023: The 7th International Conference on Computer Science and Application Engineering
October 17 - 19, 2023
Virtual Event, China
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