article

Tango or Waltz?: Putting Ballroom Dance Style into Tempo Detection

Authors:

Björn Schuller,

Gerhard RigollAuthors Info & Claims

EURASIP Journal on Audio, Speech, and Music Processing, Volume 2008, Issue 1

Article No.: 168, Pages 1 - 12

Published: 01 December 2008 Publication History

Abstract

Rhythmic information plays an important role in Music Information Retrieval. Example applications include automatically annotating large databases by genre, meter, ballroom dance style or tempo, fully automated D.J.-ing, and audio segmentation for further retrieval tasks such as automatic chord labeling. In this article, we therefore provide an introductory overview over basic and current principles of tempo detection. Subsequently, we show how to improve on these by inclusion of ballroom dance style recognition. We introduce a feature set of 82 rhythmic features for rhythm analysis on real audio. With this set, data-driven identification of the meter and ballroom dance style, employing support vector machines, is carried out in a first step. Next, this information is used to more robustly detect tempo. We evaluate the suggested method on a large public database containing 1.8 k titles of standard and Latin ballroom dance music. Following extensive test runs, a clear boost in performance can be reported.

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Cited By

Liu JYang YLiem CMüller MTjoa STzanetakis G(2012)Inferring personal traits from music listening historyProceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies10.1145/2390848.2390856(31-36)Online publication date: 2-Nov-2012
https://dl.acm.org/doi/10.1145/2390848.2390856
Yang YChen H(2012)Machine Recognition of Music EmotionACM Transactions on Intelligent Systems and Technology10.1145/2168752.21687543:3(1-30)Online publication date: 1-May-2012
https://dl.acm.org/doi/10.1145/2168752.2168754
Gulati SRao P(2010)Rhythm pattern representations for tempo detection in musicProceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia10.1145/1963564.1963606(241-244)Online publication date: 27-Dec-2010
https://dl.acm.org/doi/10.1145/1963564.1963606
Show More Cited By

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Tango or Waltz?: Putting Ballroom Dance Style into Tempo Detection

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cover image EURASIP Journal on Audio, Speech, and Music Processing

EURASIP Journal on Audio, Speech, and Music Processing Volume 2008, Issue 1

December 2008

218 pages

ISSN:1687-4714

EISSN:1687-4722

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Copyright © Copyright © 2008 The Author(s).

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Hindawi Limited

London, United Kingdom

Publication History

Published: 01 December 2008

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Cited By

Liu JYang YLiem CMüller MTjoa STzanetakis G(2012)Inferring personal traits from music listening historyProceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies10.1145/2390848.2390856(31-36)Online publication date: 2-Nov-2012
https://dl.acm.org/doi/10.1145/2390848.2390856
Yang YChen H(2012)Machine Recognition of Music EmotionACM Transactions on Intelligent Systems and Technology10.1145/2168752.21687543:3(1-30)Online publication date: 1-May-2012
https://dl.acm.org/doi/10.1145/2168752.2168754
Gulati SRao P(2010)Rhythm pattern representations for tempo detection in musicProceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia10.1145/1963564.1963606(241-244)Online publication date: 27-Dec-2010
https://dl.acm.org/doi/10.1145/1963564.1963606
Schuller BHörnler BArsic DRigoll G(2009)Audio chord labeling by musiological modeling and beat-synchronizationProceedings of the 2009 IEEE international conference on Multimedia and Expo10.5555/1698924.1699053(526-529)Online publication date: 28-Jun-2009
https://dl.acm.org/doi/10.5555/1698924.1699053

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