Fast and Robust Meter and Tempo Recognition for the Automatic Discrimination of Ballroom Dance Styles

Author

Schuller, Bjorn ; Eyben, Florian ; Rigoll, Gerhard

Author_Institution

Inst. for Human-Machine Commun., Technische Univ. Munchen, Germany

Volume

1

fYear

2007

fDate

15-20 April 2007

Abstract

Fast and robust recognition of a song´s meter, and quarter note tempo is crucial in many music information retrieval tasks dealing especially with large databases or real-time musical stream processing. We therefore introduce a novel approach that is capable of extracting musical meter features and tempo in beats per minute. The method is extendable in order to return the locations of beat onsets suitable for example for beat synchronization or musical audio segmentation. We use a simplified psychoacoustic model to split the input into audible frequency bands and two phase comb filtering on those bands to find the quarter note tempo and metrical structure. Based on these features we discriminate the nine classic ballroom dance styles and duple or triple meter by support-vector-machines as exemplary application. Test-runs are carried out on a public ballroom dance music database containing 1.8 k titles and the public MTV-Europe Most Wanted 1981-2000 to demonstrate the high effectiveness for popular music with respect to meter, tempo and ballroom dance style recognition.

Keywords

audio signal processing; comb filters; feature extraction; filtering theory; information retrieval; support vector machines; audible frequency bands; automatic discrimination; ballroom dance style recognition; music information retrieval; musical audio segmentation; musical meter feature extraction; psychoacoustic model; public ballroom dance music database; real-time musical stream processing; robust meter; support-vector-machines; tempo recognition; two phase comb filtering; Data mining; Feature extraction; Filtering; Frequency synchronization; Music information retrieval; Psychoacoustic models; Robustness; Spatial databases; Streaming media; Testing; BPM Detection; Ballroom Dance Style Recognition; Genre Recognition; Musical Meter; Musical Tempo;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on

Conference_Location

Honolulu, HI

ISSN

1520-6149

Print_ISBN

1-4244-0727-3

Type

conf

DOI

10.1109/ICASSP.2007.366655

Filename

4217055