OK Computer Analysis: An Audio Corpus Study of Radiohead
November 29, 2022 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Nick Collins
arXiv ID
2211.15834
Category
cs.SD: Sound
Cross-listed
cs.IR,
eess.AS
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
The application of music information retrieval techniques in popular music studies has great promise. In the present work, a corpus of Radiohead songs across their career from 1992 to 2017 are subjected to automated audio analysis. We examine findings from a number of granularities and perspectives, including within song and between song examination of both timbral-rhythmic and harmonic features. Chronological changes include possible career spanning effects for a band's releases such as slowing tempi and reduced brightness, and the timbral markers of Radiohead's expanding approach to instrumental resources most identified with the Kid A and Amnesiac era. We conclude with a discussion highlighting some challenges for this approach, and the potential for a field of audio file based career analysis.
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