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Discovering Chord Idioms Through Beatles and Real Book Songs

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Publication authored by Mauch, Matthias and Dixon, Simon and Harte, Christopher and Fields, Benjamin and Casey, Michael.

Modern collections of symbolic and audio music content
provide unprecedented possibilities for musicological re-
search, but traditional qualitative evaluation methods can-
not realistically cope with such amounts of data. We are
interested in harmonic analysis and propose key-independent chord idioms derived from a bottom-up analysis of musical data as a new subject of musicological interest. In order to motivate future research on audio chord idioms and on probabilistic models of harmony we perform a quantitative study of chord progressions in two popular music collections. In particular, we extract common subsequences of chord classes from symbolic data, independent of key and context, and order them by frequency of occurrence, thus enabling us to identify chord idioms. We make musicological observations on selected chord idioms from the collections.
@inproceedings{mauch:dci,
Author = {Matthias Mauch and Simon Dixon and Christopher Harte and Michael Casey and Benjamin Fields},
Booktitle = {Proceedings of the 8th International Conference on Music Information Retrieval, ISMIR 2007, Vienna, Austria},
Keywords = {chord idioms, harmony, Beatles, symbolic},
Title = {Discovering Chord Idioms through {B}eatles and {R}eal {B}ook Songs},
Year = {2007}}

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