CITATION — REFERENCE ENTRY
Automated Estimation of Ride Cymbal Swing Ratios in Jazz Recordings — Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR 2015)
- Key
- dittmar2015-swing-ratios
- Authors
- Dittmar, Christian; Pfleiderer, Martin; Müller, Meinard
- Issued
- 2015-10-26
- Type
- paper-conference
- Container
- Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR 2015)
Raw CSL JSON
{
"DOI": "10.5281/zenodo.1418149",
"URL": "https://zenodo.org/records/1418149",
"type": "paper-conference",
"title": "Automated Estimation of Ride Cymbal Swing Ratios in Jazz Recordings",
"author": [
{
"given": "Christian",
"family": "Dittmar"
},
{
"given": "Martin",
"family": "Pfleiderer"
},
{
"given": "Meinard",
"family": "Müller"
}
],
"issued": {
"date-parts": [
[
2015,
10,
26
]
]
},
"container-title": "Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR 2015)"
}
Claims
-
Estimating drummers' swing ratios from ride-cymbal onsets in jazz recordings is sensitive to onset-detection errors; a log-lag autocorrelation function gives more reliable estimates.
"A first approach is based on automatic detection of ride cymbal (RC) onsets and evaluation of relative time intervals between them. However, small errors in the onset detection propagate considerably into the swing ratio estimates. As our main technical contribution, we propose to use the log-lag autocorrelation function (LLACF) as a mid-level representation for estimating swing ratios, circumventing the error-prone detection of RC onsets. In our experiments, the LLACF-based swing ratio estimates prove to be more reliable than the ones based on RC onset detection."
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