CITATION — REFERENCE ENTRY
An Expert Ground-Truth Set for Audio Chord Recognition and Music Analysis — Proceedings of the 12th International Society for Music Information Retrieval Conference (ISMIR 2011)
- Key
- burgoyne2011-billboard
- Authors
- Burgoyne, John Ashley; Wild, Jonathan; Fujinaga, Ichiro
- Issued
- 2011
- Type
- paper-conference
- Container
- Proceedings of the 12th International Society for Music Information Retrieval Conference (ISMIR 2011)
- Pages
- 633-638
Raw CSL JSON
{
"URL": "https://ismir2011.ismir.net/papers/OS8-1.pdf",
"page": "633-638",
"type": "paper-conference",
"title": "An Expert Ground-Truth Set for Audio Chord Recognition and Music Analysis",
"author": [
{
"given": "John Ashley",
"family": "Burgoyne"
},
{
"given": "Jonathan",
"family": "Wild"
},
{
"given": "Ichiro",
"family": "Fujinaga"
}
],
"issued": {
"date-parts": [
[
2011
]
]
},
"container-title": "Proceedings of the 12th International Society for Music Information Retrieval Conference (ISMIR 2011)"
}
Claims
-
The McGill Billboard dataset contains time-aligned chord transcriptions, made by trained jazz musicians, of more than a thousand songs selected at random from the US Billboard Hot 100 chart between 1958 and 1991. It was intended both for training audio chord recognition and for computational musicology of popular-music harmony; by contrast, 174 of the 210 songs in the earlier MIREX chord set were by the Beatles.
"Working with a team of trained jazz musicians, we have collected time-aligned transcriptions of the harmony in more than a thousand songs selected randomly from the Billboard “Hot 100” chart in the United States between 1958 and 1991. ... because of an innovative sampling methodology, the data are usable as they stand for computational musicology. ... Of the 210 songs in the MIREX data set, 174 (83 percent) are by the Beatles."
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