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A Formalization of Relative Local Tempo Variations in Collections of Performances. / Peperkamp, Jeroen; Hildebrandt, Klaus; Liem, Cynthia.

Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR 2017. International Society for Music Information Retrieval (ISMIR), 2017. p. 158-164.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Peperkamp, J, Hildebrandt, K & Liem, C 2017, A Formalization of Relative Local Tempo Variations in Collections of Performances. in Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR 2017. International Society for Music Information Retrieval (ISMIR), pp. 158-164, ISMIR 2017, Suzhou, China, 23/10/17.

APA

Peperkamp, J., Hildebrandt, K., & Liem, C. (2017). A Formalization of Relative Local Tempo Variations in Collections of Performances. In Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR 2017 (pp. 158-164). International Society for Music Information Retrieval (ISMIR).

Vancouver

Peperkamp J, Hildebrandt K, Liem C. A Formalization of Relative Local Tempo Variations in Collections of Performances. In Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR 2017. International Society for Music Information Retrieval (ISMIR). 2017. p. 158-164

Author

Peperkamp, Jeroen ; Hildebrandt, Klaus ; Liem, Cynthia. / A Formalization of Relative Local Tempo Variations in Collections of Performances. Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR 2017. International Society for Music Information Retrieval (ISMIR), 2017. pp. 158-164

BibTeX

@inproceedings{11602e47cef4439793f0ccc68f88c243,
title = "A Formalization of Relative Local Tempo Variations in Collections of Performances",
abstract = "Multiple performances of the same piece share similarities, but also show relevant dissimilarities. With regard to the latter, analyzing and quantifying variations in collections of performances is useful to understand how a musical piece is typically performed, how naturally sounding new interpretations could be rendered, or what is peculiar about a particular performance. However, as there is no formal ground truth as to what these variations should look like, it is a challenge to provide and validate analysis methods for this. In this paper, we focus on relative local tempo variations in collections of performances. We propose a way to formally represent relative local tempo variations, as encoded in warping paths of aligned performances, in a vector space. This enables using statistics for analyzing tempo variations in collections of performances. We elaborate the computation and interpretation of the mean variation and the principal modes of variation. To validate our analysis method despite the absence of a ground truth, we present results on artificially generated data, representing several categories of local tempo variations. Finally, we show how our method can be used for analyzing to realworld data and discuss potential applications.",
author = "Jeroen Peperkamp and Klaus Hildebrandt and Cynthia Liem",
year = "2017",
language = "English",
pages = "158--164",
booktitle = "Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR 2017",
publisher = "International Society for Music Information Retrieval (ISMIR)",

}

RIS

TY - GEN

T1 - A Formalization of Relative Local Tempo Variations in Collections of Performances

AU - Peperkamp, Jeroen

AU - Hildebrandt, Klaus

AU - Liem, Cynthia

PY - 2017

Y1 - 2017

N2 - Multiple performances of the same piece share similarities, but also show relevant dissimilarities. With regard to the latter, analyzing and quantifying variations in collections of performances is useful to understand how a musical piece is typically performed, how naturally sounding new interpretations could be rendered, or what is peculiar about a particular performance. However, as there is no formal ground truth as to what these variations should look like, it is a challenge to provide and validate analysis methods for this. In this paper, we focus on relative local tempo variations in collections of performances. We propose a way to formally represent relative local tempo variations, as encoded in warping paths of aligned performances, in a vector space. This enables using statistics for analyzing tempo variations in collections of performances. We elaborate the computation and interpretation of the mean variation and the principal modes of variation. To validate our analysis method despite the absence of a ground truth, we present results on artificially generated data, representing several categories of local tempo variations. Finally, we show how our method can be used for analyzing to realworld data and discuss potential applications.

AB - Multiple performances of the same piece share similarities, but also show relevant dissimilarities. With regard to the latter, analyzing and quantifying variations in collections of performances is useful to understand how a musical piece is typically performed, how naturally sounding new interpretations could be rendered, or what is peculiar about a particular performance. However, as there is no formal ground truth as to what these variations should look like, it is a challenge to provide and validate analysis methods for this. In this paper, we focus on relative local tempo variations in collections of performances. We propose a way to formally represent relative local tempo variations, as encoded in warping paths of aligned performances, in a vector space. This enables using statistics for analyzing tempo variations in collections of performances. We elaborate the computation and interpretation of the mean variation and the principal modes of variation. To validate our analysis method despite the absence of a ground truth, we present results on artificially generated data, representing several categories of local tempo variations. Finally, we show how our method can be used for analyzing to realworld data and discuss potential applications.

UR - http://resolver.tudelft.nl/uuid:11602e47-cef4-4397-93f0-ccc68f88c243

M3 - Conference contribution

SP - 158

EP - 164

BT - Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR 2017

PB - International Society for Music Information Retrieval (ISMIR)

ER -

ID: 36047456