Evolution of the Informational Complexity of Contemporary Western Music. Parmer, T. & Ahn, Y. In Proceedings of the 20th International Society for Music Information Retrieval Conference, pages 175–182, Delft, The Netherlands, 2019.
Paper doi abstract bibtex We measure the complexity of songs in the Million Song Dataset (MSD) in terms of pitch, timbre, loudness, and rhythm to investigate their evolution from 1960 to 2010. By comparing the Billboard Hot 100 with random samples, we find that the complexity of popular songs tends to be more narrowly distributed around the mean, supporting the idea of an inverted U-shaped relationship between complexity and hedonistic value. We then examine the temporal evolution of complexity, reporting consistent changes across decades, such as a decrease in average loudness complexity since the 1960s, and an increase in timbre complexity overall but not for popular songs. We also show, in contrast to claims that popular songs sound more alike over time, that they are not more similar than they were 50 years ago in terms of pitch or rhythm, although similarity in timbre shows distinctive patterns across eras and similarity in loudness has been increasing. Finally, we show that musical genres can be differentiated by their distinctive complexity profiles.
@InProceedings{ parmer.ea2019-evolution,
author = {Parmer, Thomas and Ahn, Yong-Yeol},
year = {2019},
title = {Evolution of the Informational Complexity of Contemporary
Western Music},
abstract = {We measure the complexity of songs in the Million Song
Dataset (MSD) in terms of pitch, timbre, loudness, and
rhythm to investigate their evolution from 1960 to 2010.
By comparing the Billboard Hot 100 with random samples, we
find that the complexity of popular songs tends to be more
narrowly distributed around the mean, supporting the idea
of an inverted U-shaped relationship between complexity
and hedonistic value. We then examine the temporal
evolution of complexity, reporting consistent changes
across decades, such as a decrease in average loudness
complexity since the 1960s, and an increase in timbre
complexity overall but not for popular songs. We also
show, in contrast to claims that popular songs sound more
alike over time, that they are not more similar than they
were 50 years ago in terms of pitch or rhythm, although
similarity in timbre shows distinctive patterns across
eras and similarity in loudness has been increasing.
Finally, we show that musical genres can be differentiated
by their distinctive complexity profiles.},
address = {Delft, The Netherlands},
archiveprefix= {arXiv},
arxivid = {1907.04292},
booktitle = {Proceedings of the 20th International Society for Music
Information Retrieval Conference},
doi = {10.5281/zenodo.3527772},
eprint = {1907.04292},
keywords = {music analysis with computers},
mendeley-tags= {music analysis with computers},
pages = {175--182},
url = {http://arxiv.org/abs/1907.04292}
}
Downloads: 0
{"_id":"vqmuTxoo9Tu7Fw3gA","bibbaseid":"parmer-ahn-evolutionoftheinformationalcomplexityofcontemporarywesternmusic-2019","authorIDs":[],"author_short":["Parmer, T.","Ahn, Y."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"propositions":[],"lastnames":["Parmer"],"firstnames":["Thomas"],"suffixes":[]},{"propositions":[],"lastnames":["Ahn"],"firstnames":["Yong-Yeol"],"suffixes":[]}],"year":"2019","title":"Evolution of the Informational Complexity of Contemporary Western Music","abstract":"We measure the complexity of songs in the Million Song Dataset (MSD) in terms of pitch, timbre, loudness, and rhythm to investigate their evolution from 1960 to 2010. By comparing the Billboard Hot 100 with random samples, we find that the complexity of popular songs tends to be more narrowly distributed around the mean, supporting the idea of an inverted U-shaped relationship between complexity and hedonistic value. We then examine the temporal evolution of complexity, reporting consistent changes across decades, such as a decrease in average loudness complexity since the 1960s, and an increase in timbre complexity overall but not for popular songs. We also show, in contrast to claims that popular songs sound more alike over time, that they are not more similar than they were 50 years ago in terms of pitch or rhythm, although similarity in timbre shows distinctive patterns across eras and similarity in loudness has been increasing. Finally, we show that musical genres can be differentiated by their distinctive complexity profiles.","address":"Delft, The Netherlands","archiveprefix":"arXiv","arxivid":"1907.04292","booktitle":"Proceedings of the 20th International Society for Music Information Retrieval Conference","doi":"10.5281/zenodo.3527772","eprint":"1907.04292","keywords":"music analysis with computers","mendeley-tags":"music analysis with computers","pages":"175–182","url":"http://arxiv.org/abs/1907.04292","bibtex":"@InProceedings{ parmer.ea2019-evolution,\n author = {Parmer, Thomas and Ahn, Yong-Yeol},\n year = {2019},\n title = {Evolution of the Informational Complexity of Contemporary\n Western Music},\n abstract = {We measure the complexity of songs in the Million Song\n Dataset (MSD) in terms of pitch, timbre, loudness, and\n rhythm to investigate their evolution from 1960 to 2010.\n By comparing the Billboard Hot 100 with random samples, we\n find that the complexity of popular songs tends to be more\n narrowly distributed around the mean, supporting the idea\n of an inverted U-shaped relationship between complexity\n and hedonistic value. We then examine the temporal\n evolution of complexity, reporting consistent changes\n across decades, such as a decrease in average loudness\n complexity since the 1960s, and an increase in timbre\n complexity overall but not for popular songs. We also\n show, in contrast to claims that popular songs sound more\n alike over time, that they are not more similar than they\n were 50 years ago in terms of pitch or rhythm, although\n similarity in timbre shows distinctive patterns across\n eras and similarity in loudness has been increasing.\n Finally, we show that musical genres can be differentiated\n by their distinctive complexity profiles.},\n address = {Delft, The Netherlands},\n archiveprefix= {arXiv},\n arxivid = {1907.04292},\n booktitle = {Proceedings of the 20th International Society for Music\n Information Retrieval Conference},\n doi = {10.5281/zenodo.3527772},\n eprint = {1907.04292},\n keywords = {music analysis with computers},\n mendeley-tags= {music analysis with computers},\n pages = {175--182},\n url = {http://arxiv.org/abs/1907.04292}\n}\n\n","author_short":["Parmer, T.","Ahn, Y."],"key":"parmer.ea2019-evolution","id":"parmer.ea2019-evolution","bibbaseid":"parmer-ahn-evolutionoftheinformationalcomplexityofcontemporarywesternmusic-2019","role":"author","urls":{"Paper":"http://arxiv.org/abs/1907.04292"},"keyword":["music analysis with computers"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"inproceedings","biburl":"https://hmb.sampaio.me/bibliografia.bib.txt","creationDate":"2020-06-03T21:25:09.130Z","downloads":0,"keywords":["music analysis with computers"],"search_terms":["evolution","informational","complexity","contemporary","western","music","parmer","ahn"],"title":"Evolution of the Informational Complexity of Contemporary Western Music","year":2019,"dataSources":["n6MFY2CscQLDpJ7nT","RFLDZw5KyJdadDXDm"]}