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Rhythm pattern representations for tempo detection in music

Published: 27 December 2010 Publication History

Abstract

Detection of perceived tempo of music is an important aspect of music information retrieval. Perceived tempo depends in a complex manner on the rhythm structure of the audio signal. Machine learning approaches, proposed recently, avoid peak picking and use rhythm pattern matching with stored tempo annotated songs in the database. We investigate different signal processing methods for rhythm pattern extraction and evaluate these for the music tempo detection task. We also investigate the effect of using additional information about the rhythmic style on the performance of the tempo detection system. The different systems are comparatively evaluated on a standard Ballroom Dance music database and an Indian music database.

References

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McKinney, M. F., Moelants, D. 2004. Tempo Perception and Musical Content: What makes a piece fast, slow or temporally ambiguous? In Proceedings of the International Conference on Music Perception and Cognition (ICMPC'04), Evanston, USA.
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Dixon, S. 2006. Onset Detection Revisited. In Proceedings of the International Conference on Digital Audio Effects (DAFx'06), Montreal, Canada.
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Dixon, S. 2001. Automatic extraction of tempo and beat from expressive performances, J. New Music Res., vol. 30, no. 1, pp. 39--58.
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Ellis, D. P. 2007. Beat tracking by dynamic programming. J. New Music Res., vol. 36, no. 1, pp. 51--60.
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Scheirer, E. 1998. Tempo and beat analysis of acoustic musical signals. J. Acoust. Soc. Amer., vol. 103, no. 1, pp. 588--601.
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Gouyon, F., Klapuri, A., Dixon, S., Alonso, M., Tzanetakis, G., Uhle, C. and Cano, P. 2006. An experimental comparison of audio tempo induction algorithms. IEEE Trans. Audio, Speech, Lang. Process., vol. 14, no. 5, pp. 1832--1844.
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Davies, M. E. P., Plumbley, M. D. 2008. Exploring the effect of rhythmic style classification on automatic tempo estimation, In Proceedings European Signal Processing Conf.
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Schuller, B., Eyben, F., Rigoll. G. 2008. Tango or Waltz?: Putting ballroom dance style into tempo detection. EURASIP Journal on Audio, Speech, and Music Processing, 2008 (846135):12 pages, 2008.
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Seyerlehner, K., Widmer, G., Schnitzer, D. 2007. From rhythm patterns to perceived tempo. In Proceedings. 8th Int. Conf. Music Inf. Retrieval (ISMIR-07), Vienna, Austria
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Gouyon, F., Dixon, S., Pampalk, E., Widmer, G. 2004. Evaluating rhythmic descriptors for musical genre classification, In Proceedings. AES 25th Int. Conf., New York, 2004, pp. 196--204.
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Schuller, B., Eyben, F. and Rigoll, G. 2007. Fast and robust meter and tempo recognition for the automatic discrimination of ballroom dance styles, in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '07), pp. 217--220, Honolulu, Hawaii, USA, April.

Cited By

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  • (2023)Making time perception shorter with pitch and interval patternsBehaviour & Information Technology10.1080/0144929X.2022.216193743:2(273-283)Online publication date: 24-Jan-2023
  • (2016)Reliable tempo detection for structural segmentation in sarod concerts2016 Twenty Second National Conference on Communication (NCC)10.1109/NCC.2016.7561163(1-6)Online publication date: Mar-2016
  • (2015)Modeling the perception of tempoThe Journal of the Acoustical Society of America10.1121/1.4919306137:6(3163-3177)Online publication date: Jun-2015
  • Show More Cited By

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cover image ACM Other conferences
IITM '10: Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
December 2010
355 pages
ISBN:9781450304085
DOI:10.1145/1963564
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 December 2010

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Cited By

View all
  • (2023)Making time perception shorter with pitch and interval patternsBehaviour & Information Technology10.1080/0144929X.2022.216193743:2(273-283)Online publication date: 24-Jan-2023
  • (2016)Reliable tempo detection for structural segmentation in sarod concerts2016 Twenty Second National Conference on Communication (NCC)10.1109/NCC.2016.7561163(1-6)Online publication date: Mar-2016
  • (2015)Modeling the perception of tempoThe Journal of the Acoustical Society of America10.1121/1.4919306137:6(3163-3177)Online publication date: Jun-2015
  • (2014)In Search of Automatic Rhythm Analysis Methods for Turkish and Indian Art MusicJournal of New Music Research10.1080/09298215.2013.87990243:1(94-114)Online publication date: 31-Mar-2014
  • (2011)Meter detection from audio for indian musicProceedings of the 8th international conference on Speech, Sound and Music Processing: embracing research in India10.1007/978-3-642-31980-8_3(34-43)Online publication date: 9-Mar-2011

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