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OK Computer Analysis: An Audio Corpus Study of Radiohead

Collins, Nick



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.


Collins, N. (2022). OK Computer Analysis: An Audio Corpus Study of Radiohead. [No known commissioning body]

Report Type Project Report
Online Publication Date Nov 29, 2022
Publication Date 2022
Deposit Date Dec 6, 2022
Publicly Available Date Dec 6, 2022
Public URL
Related Public URLs
Additional Information Type: monograph
Subtype: project_report


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