Investigating style evolution of Western classical music: A computational approach. Weiß, C., Mauch, M., Dixon, S., & Müller, M. Musicae Scientiae, 2018.
Paper doi abstract bibtex In musicology, there has been a long debate about a meaningful partitioning and description of music history regarding composition styles. Particularly, concepts of historical periods have been criticized since they cannot account for the continuous and interwoven evolution of style. To systematically study this evolution, large corpora are necessary suggesting the use of computational strategies. This article presents such strategies and experiments relying on a dataset of 2000 audio recordings, which cover more than 300 years of music history. From the recordings, we extract different tonal features. We propose a method to visualize these features over the course of history using evolution curves. With the curves, we re-trace hypotheses concerning the evolution of chord transitions, intervals, and tonal complexity. Furthermore, we perform unsupervised clustering of recordings across composition years, individual pieces, and composers. In these studies, we found independent evidence of historical periods...
@Article{ wei.ea2018-investigating,
author = {Wei{\ss}, Christof and Mauch, Matthias and Dixon, Simon
and M{\"{u}}ller, Meinard},
year = {2018},
title = {Investigating style evolution of Western classical music:
A computational approach},
abstract = {In musicology, there has been a long debate about a
meaningful partitioning and description of music history
regarding composition styles. Particularly, concepts of
historical periods have been criticized since they cannot
account for the continuous and interwoven evolution of
style. To systematically study this evolution, large
corpora are necessary suggesting the use of computational
strategies. This article presents such strategies and
experiments relying on a dataset of 2000 audio recordings,
which cover more than 300 years of music history. From the
recordings, we extract different tonal features. We
propose a method to visualize these features over the
course of history using evolution curves. With the curves,
we re-trace hypotheses concerning the evolution of chord
transitions, intervals, and tonal complexity. Furthermore,
we perform unsupervised clustering of recordings across
composition years, individual pieces, and composers. In
these studies, we found independent evidence of historical
periods...},
doi = {10.1177/1029864918757595},
isbn = {1029864918},
issn = {10298649},
journal = {Musicae Scientiae},
keywords = {composer style,computational musicology,corpus
analysis,music analysis with computers,music information
retrieval,style analysis,tonal audio features},
mendeley-tags= {music analysis with computers},
number = {March},
url = {https://www.researchgate.net/publication/323619682_Investigating_style_evolution_of_Western_classical_music_A_computational_approach}
}
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Particularly, concepts of\n historical periods have been criticized since they cannot\n account for the continuous and interwoven evolution of\n style. To systematically study this evolution, large\n corpora are necessary suggesting the use of computational\n strategies. This article presents such strategies and\n experiments relying on a dataset of 2000 audio recordings,\n which cover more than 300 years of music history. From the\n recordings, we extract different tonal features. We\n propose a method to visualize these features over the\n course of history using evolution curves. With the curves,\n we re-trace hypotheses concerning the evolution of chord\n transitions, intervals, and tonal complexity. Furthermore,\n we perform unsupervised clustering of recordings across\n composition years, individual pieces, and composers. 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