Abstract
The meter of a musical excerpt provides high-level rhythmic information and is valuable in many music information retrieval tasks. We investigate the use of a computationally efficient approach to metrical analysis based on psycho-acoustically motivated decomposition of the audio signal. A two-stage comb filter-based approach, originally proposed for double/ triple meter estimation, is extended to a septuple meter (such as 7/8 time-signature) and its performance evaluated on a sizable Indian music database. We find that this system works well for Indian music and the distribution of musical stress/accents across a temporal grid can be utilized to obtain the metrical structure of audio automatically.
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References
Klapuri, A., Eronen, A.J., Astola, J.T.: Analysis of the meter of acoustic musical signals. IEEE Transactions on Acoustics Speech and Signal Processing 14(1), 342–355 (2006)
Holzapfel, A., Stylianou, Y.: Rhythmic similarity in traditional turkish music. In: Proceedings of International Conference on Music Information Retrieval (2009)
Gulati, S., Rao, P.: Rhythm Pattern Representation for Tempo Detection in Music. In: Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia, Allahabad, India (December 2010)
Dixon, S.: Onset Detection Revisited. In: Proceedings of the International Conference on Digital Audio Effects (DAFx 2006), Montreal, Canada (2006)
Klapuri, A.: Sound Onset Detection by Applying Psychoacoustic Knowledge. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (March 1999)
Dixon, S.: Automatic extraction of tempo and beat from expressive performances. J. New Music Res. 30(1), 39–58 (2001)
Ellis, D.P.: Beat tracking by dynamic programming. J. New Music Res. 36(1), 51–60 (2007)
Goto, M., Muraoka, Y.: Music Understanding at the Beat Level Real-time Beat Tracking for Audio Signals. In: Proceedings of IJCAI 1995 Workshop on Computational Auditory Scene Analysis, p. 6875 (1995)
Gouyon, F., Herrera, P.: Determination of the meter of musical audio signals: Seeking recurrences in beat segment descriptors. In: 114th Audio Engineering Society Convention (March 2003)
Clayton, M.: Time in Indian music: rhythm, metre, and form in North Indian rãg performance. Oxford University Press Inc., New York (2000)
Schuller, B., Eyben, F., Rigoll, G.: 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 2007), Honolulu, Hawaii, USA, pp. 217–220 (April 2007)
Gouyon, F.: A computational approach to rhythm description – Audio features for the computation of rhythm periodicity functions and their use in tempo induction and music content processing. PhD dissertation, Music Technology Group, PompeuFabra University (2005)
Scheirer, E.: Tempo and beat analysis of acoustic musical signals. J. Acoust. Soc. Amer. 103(1), 588–601 (1998)
Gouyon, F., Dixon, S., Pampalk, E., Widmer, G.: Evaluating rhythmic descriptors for musical genre classification. In: Proceedings. AES 25th Int. Conf., New York, pp. 196–204 (2004)
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Gulati, S., Rao, V., Rao, P. (2012). Meter Detection from Audio for Indian Music. In: Ystad, S., Aramaki, M., Kronland-Martinet, R., Jensen, K., Mohanty, S. (eds) Speech, Sound and Music Processing: Embracing Research in India. CMMR FRSM 2011 2011. Lecture Notes in Computer Science, vol 7172. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31980-8_3
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DOI: https://doi.org/10.1007/978-3-642-31980-8_3
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