research-article

Rhythm pattern representations for tempo detection in music

Authors:

Sankalp Gulati,

Preeti RaoAuthors Info & Claims

IITM '10: Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia

Pages 241 - 244

https://doi.org/10.1145/1963564.1963606

Published: 27 December 2010 Publication History

Get Access

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

[1]

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.

Google Scholar

[2]

Dixon, S. 2006. Onset Detection Revisited. In Proceedings of the International Conference on Digital Audio Effects (DAFx'06), Montreal, Canada.

Google Scholar

[3]

Dixon, S. 2001. Automatic extraction of tempo and beat from expressive performances, J. New Music Res., vol. 30, no. 1, pp. 39--58.

Crossref

Google Scholar

[4]

Ellis, D. P. 2007. Beat tracking by dynamic programming. J. New Music Res., vol. 36, no. 1, pp. 51--60.

Crossref

Google Scholar

[5]

Scheirer, E. 1998. Tempo and beat analysis of acoustic musical signals. J. Acoust. Soc. Amer., vol. 103, no. 1, pp. 588--601.

Crossref

Google Scholar

[6]

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.

Digital Library

Google Scholar

[7]

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.

Google Scholar

[8]

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.

Digital Library

Google Scholar

[9]

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

Google Scholar

[10]

Eronen, A. J., Klapuri. A. 2010. Music tempo estimation with k-NN regression, In IEEE Transactions on Audio, Speech, and Language Processing, vol. 18, no. 1, January

Digital Library

Google Scholar

[11]

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.

Google Scholar

[12]

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.

Google Scholar

Cited By

View all

Sunthorn WLe Mercier CSilpasuwanchai C(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
https://doi.org/10.1080/0144929X.2022.2161937
Vinutha TSankagiri SRao P(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
https://doi.org/10.1109/NCC.2016.7561163
Elowsson AFriberg A(2015)Modeling the perception of tempoThe Journal of the Acoustical Society of America10.1121/1.4919306137:6(3163-3177)Online publication date: Jun-2015
https://doi.org/10.1121/1.4919306
Show More Cited By

Index Terms

Rhythm pattern representations for tempo detection in music
1. Applied computing
  1. Arts and humanities
    1. Performing arts
    2. Sound and music computing
2. Information systems
  1. Information retrieval
    1. Specialized information retrieval
      1. Multimedia and multimodal retrieval
        Music retrieval

Recommendations

Improved Perceptual Tempo Detection of Music
MMM '05: Proceedings of the 11th International Multimedia Modelling Conference

Perceptual tempo refers to listener's tempo perception how fast the music goes, when he listens to a piece of music with fairly constant overall tempo. Existing work on automatically determining the tempo of a piece of music is usually not able to ...
Towards Complete Polyphonic Music Transcription: Integrating Multi-Pitch Detection and Rhythm Quantization
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Most work on automatic transcription produces “piano roll” data with no musical interpretation of the rhythm or pitches. We present a polyphonic transcription method that converts a music audio signal into a human-readable musical score, by ...
Learning Music-Dance Representations Through Explicit-Implicit Rhythm Synchronization
Although audio-visual representation has been proven to be applicable in many downstream tasks, the representation of dancing videos, which is more specific and always accompanied by music with complex auditory contents, remains challenging and ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

IITM '10: Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia

December 2010

355 pages

ISBN:9781450304085

DOI:10.1145/1963564

Editors:
M. D. Tiwari
IIIT Allahabad, India
,
R. C. Tripathi
IIIT Allahabad, India
,
Anupam Agrawal
IIIT Allahabad, India

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 December 2010

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Research-article

Conference

IITM '10

IITM '10: First International Conference on Intelligent Interactive Technologies and Multimedia

December 27 - 30, 2010

Allahabad, India

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

5
Total Citations
View Citations
181
Total Downloads

Downloads (Last 12 months)9
Downloads (Last 6 weeks)0

Reflects downloads up to 20 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Sunthorn WLe Mercier CSilpasuwanchai C(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
https://doi.org/10.1080/0144929X.2022.2161937
Vinutha TSankagiri SRao P(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
https://doi.org/10.1109/NCC.2016.7561163
Elowsson AFriberg A(2015)Modeling the perception of tempoThe Journal of the Acoustical Society of America10.1121/1.4919306137:6(3163-3177)Online publication date: Jun-2015
https://doi.org/10.1121/1.4919306
Srinivasamurthy AHolzapfel ASerra X(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
https://doi.org/10.1080/09298215.2013.879902
Gulati SRao VRao P(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
https://dl.acm.org/doi/10.1007/978-3-642-31980-8_3

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Improved Perceptual Tempo Detection of Music

Towards Complete Polyphonic Music Transcription: Integrating Multi-Pitch Detection and Rhythm Quantization

Learning Music-Dance Representations Through Explicit-Implicit Rhythm Synchronization